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WO2025242033A1 - 一种通信方法和相关设备 - Google Patents

一种通信方法和相关设备

Info

Publication number
WO2025242033A1
WO2025242033A1 PCT/CN2025/095702 CN2025095702W WO2025242033A1 WO 2025242033 A1 WO2025242033 A1 WO 2025242033A1 CN 2025095702 W CN2025095702 W CN 2025095702W WO 2025242033 A1 WO2025242033 A1 WO 2025242033A1
Authority
WO
WIPO (PCT)
Prior art keywords
reference signal
signal resource
resource set
channel state
state information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2025/095702
Other languages
English (en)
French (fr)
Inventor
刘礼福
薛松岩
陈宏智
孙琰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Publication of WO2025242033A1 publication Critical patent/WO2025242033A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

Definitions

  • This application relates to the field of communications, and more specifically, to a communication method, a communication device, a computer-readable storage medium, a chip, and a computer program product.
  • the terminal device performs measurements on a subset of reference signal resources from the reference signal resource set to obtain the measured values of the channel state information (CSO) corresponding to that subset. Based on the measured CSO values and the AI model, the terminal device predicts the predicted CSO value for each reference signal resource in the set. The terminal device then identifies and reports one or more reference signal resources with the largest predicted CSO values from the set.
  • Each reference signal resource in the set carries a reference signal, which may include a synchronizing signal block (SSB) and/or a channel state information reference signal (CSI-RS). This reference signal resource may be, for example, a beam.
  • SSB synchronizing signal block
  • CSI-RS channel state information reference signal
  • This application provides a communication method, communication device, computer-readable storage medium, chip, and computer program product that can determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • a first aspect provides a communication method.
  • the method includes: acquiring measured values of channel state information corresponding to each reference signal resource in a first set of reference signal resources, the first set of reference signal resources including at least one reference signal resource; determining predicted values of channel state information corresponding to each reference signal resource in a second set of reference signal resources based on the measured values of the channel state information corresponding to each reference signal resource in the first set of reference signal resources, the second set of reference signal resources including multiple reference signal resources, and the first set of reference signal resources being a subset of the second set of reference signal resources; and determining a first confidence level based on the measured values and predicted values of the channel state information corresponding to each reference signal resource in the first set of reference signal resources.
  • a first confidence level is determined by the measured and predicted values of the channel state information corresponding to the first reference signal resource set. This enables network devices and/or terminal devices to determine whether the predicted value of the channel state information corresponding to the reference signal resource is reliable based on the first confidence level, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • the first confidence level is used to determine whether the predicted value of the channel state information corresponding to the second reference signal resource set is reliable.
  • channel state information may be, for example, reference signal received power (RSRP) or signal to interference plus noise ratio (SINR).
  • RSRP reference signal received power
  • SINR signal to interference plus noise ratio
  • the first confidence level indicates at least one of the following: the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the distribution of the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, the distribution of the difference including at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the maximum value x and the minimum value y among the differences between
  • a standardized confidence calculation scheme which enables the terminal device to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource based on the standardized confidence calculation scheme.
  • a first report is determined based on a first confidence level.
  • This first report indicates the index of each reference signal resource in the third reference signal resource set, or it indicates the index and the first confidence level of each reference signal resource in the third reference signal resource set, or it indicates: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level.
  • the third reference signal resource set includes at least one reference signal resource
  • the second reference signal resource set includes the third reference signal resource set
  • the predicted value of the channel state information corresponding to the reference signal resources in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resources in the second reference signal resource set other than the third reference signal resource set.
  • the terminal device determines the content of the first report indicated by the first confidence level, thereby enabling the network device to determine, after receiving the first report, whether it can determine the communication resources for communicating with the terminal device based on the reference signal resources indicated in the first report.
  • a first report is determined, which is used to indicate: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level; or, when the first confidence level does not meet the preset condition, a first report is determined, which is used to indicate the index of each reference signal resource in the third reference signal resource set.
  • the terminal device determines the content of the first report to be reported based on whether the first confidence level meets the preset conditions, so as to facilitate the network device to determine whether it can determine the communication resources for communicating with the terminal device based on the reference signal resources indicated in the first report.
  • the preset condition includes at least one of the following: the distribution of the difference between the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a first preset threshold, and the distribution of the difference includes at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a second preset threshold; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a third preset threshold; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fourth
  • the terminal device when the content indicated by the first confidence level is different, it is determined whether the first confidence level meets the preset conditions according to the corresponding preset threshold, so as to facilitate the terminal device to determine the content included in the first report.
  • a first instruction information is received, which is used to indicate preset conditions.
  • the first indication information may be pre-configured information.
  • the first indication information may be indicated by a network device.
  • a first report is sent, the first report indicating: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and a first confidence level, wherein the third reference signal resource set includes at least one reference signal resource, the second reference signal resource set includes the third reference signal resource set, and the predicted value of the channel state information corresponding to the reference signal resource in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resource in the second reference signal resource set other than the third reference signal resource set.
  • the terminal device after the terminal device determines the first confidence level, it directly reports the first report to the network device. This allows the network device to determine whether the predicted value of the channel state information corresponding to the reference signal resource reported by the terminal device is reliable based on the first confidence level in the first report, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • a second indication information is received, which is used to indicate a first confidence determination method.
  • the first confidence determination method is used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource.
  • the first confidence level is determined based on the first confidence determination method, the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first set of reference signal resources.
  • the terminal device determines a first confidence level according to the confidence level determination method indicated by the network device, thereby enhancing the network device's confidence in the confidence level reported by the terminal device.
  • the second indication information includes a first confidence level determination method, or the second indication information includes an index of the first confidence level determination method in at least one candidate confidence level determination method, wherein each candidate confidence level determination method in the at least one candidate confidence level determination method is used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource.
  • the network device can directly indicate a specific confidence level determination method to the terminal device, or the network device can indicate an index of the confidence level determination method to the terminal device, thereby enabling the terminal device to determine the first confidence level determination method.
  • a third indication information is sent, which is used to indicate that the first model is a regression model, and the first model is used to determine the predicted value of the channel state information corresponding to each reference signal resource in the second set of reference signal resources.
  • the terminal device can report the predicted value of the channel state information corresponding to the reference signal resource to the network device as a regression model, so that the network device can indicate the confidence determination method and/or preset conditions to the terminal device.
  • a communication method includes: configuring a first set of reference signal resources, the first set of reference signal resources including at least one reference signal resource; receiving a first report related to a first confidence level, wherein the first confidence level is based on measured and predicted values of channel state information corresponding to each reference signal resource in the first set of reference signal resources, the first set of reference signal resources being a subset of a second set of reference signal resources, and the predicted value of channel state information corresponding to each reference signal resource in the second set of reference signal resources being based on measured values of channel state information corresponding to each reference signal resource in the first set of reference signal resources.
  • a first confidence level is determined by the measured and predicted values of the channel state information corresponding to the first reference signal resource set. This allows the network device to determine whether the predicted value of the channel state information corresponding to the reference signal resource is reliable based on the first confidence level, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • the first report relating to a first confidence level includes: the first report indicating the first confidence level, or the first report being determined based on the first confidence level.
  • the first confidence level indicates at least one of the following: the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the distribution of the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, the distribution of the difference including at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the maximum value x and the minimum value y among the differences between
  • a standardized confidence calculation scheme is provided, thereby determining the confidence level of the predicted value of the channel state information corresponding to the reference signal resource based on the standardized confidence calculation scheme.
  • the first report is used to indicate the index of each reference signal resource in the third reference signal resource set; or, the first report is used to indicate the index and a first confidence level of each reference signal resource in the third reference signal resource set; or, the first report is used to indicate: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level; wherein, the third reference signal resource set includes at least one reference signal resource, the second reference signal resource set includes the third reference signal resource set, and the predicted value of the channel state information corresponding to the reference signal resource in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resource in the second reference signal resource set other than the third reference signal resource set.
  • the network device determines whether it can determine the communication resources for communicating with the terminal device based on the content indicated in the received first report.
  • the predicted value of the channel state information corresponding to the third reference signal resource set is determined to be reliable; or, when the first confidence level does not meet the preset condition, the predicted value of the channel state information corresponding to the third reference signal resource set is determined to be unreliable.
  • the network device determines whether the predicted value of the channel state information corresponding to the reference signal resource indicated in the first report is credible based on the first confidence level and preset conditions, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • the third reference signal resource set is configured when the first confidence level does not meet the preset conditions, or when the first report does not indicate the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set.
  • the network device when the predicted value of the channel state information corresponding to the third reference signal resource set is unreliable, the network device can configure the third reference signal resource set to the terminal device, so that the terminal device can perform measurements based on the third reference signal resource set and obtain the measured value of the channel state information corresponding to the third reference signal resource set.
  • a first indication information is sent, which is used to indicate a preset condition, which is used to determine whether the predicted value of the channel state information corresponding to the second reference signal resource set is reliable.
  • the network device can indicate the preset condition to the terminal device, so that the terminal device can determine whether the predicted value of the channel state information corresponding to the third reference signal resource set is reliable based on the preset condition.
  • the preset conditions include at least one of the following: the distribution of the difference between the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a first preset threshold, and the distribution of the difference includes at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a second preset threshold; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a third preset threshold; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fourth
  • the first confidence level when the content indicated by the first confidence level is different, it is determined whether the first confidence level meets the preset conditions according to the corresponding preset threshold, so as to facilitate the determination of whether the predicted value of the channel state information corresponding to the third reference signal resource set is reliable.
  • a second indication information is sent, which is used to indicate a first confidence determination method, which is used to determine the confidence of the predicted value of the channel state information corresponding to the reference signal resource.
  • the network device indicates a confidence level determination method to the terminal device, thereby enabling the terminal device to determine a first confidence level according to the confidence level determination method, thereby enhancing the network device's confidence in the confidence level reported by the terminal device.
  • the second indication information includes a first confidence level determination method, or the second indication information includes an index of the first confidence level determination method in at least one candidate confidence level determination method, wherein each candidate confidence level determination method in the at least one candidate confidence level determination method is used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource.
  • the network device can directly indicate a specific confidence level determination method to the terminal device, or the network device can indicate an index of the confidence level determination method to the terminal device, thereby enabling the terminal device to determine the first confidence level determination method.
  • a third indication information is received.
  • the third indication information is used to indicate that the first model is a regression model, and the first model is used to determine the predicted value of the channel state information corresponding to each reference signal resource in the second set of reference signal resources.
  • the terminal device can report the predicted value of the channel state information corresponding to the reference signal resource to the network device as a regression model, so that the network device can indicate the confidence determination method and/or preset conditions to the terminal device.
  • a communication method includes: receiving a first set of reference signal resources, the first set of reference signal resources including at least one reference signal resource; determining a first confidence level based on the first set of reference signal resources, the first confidence level being determined based on measured and predicted values of channel state information corresponding to each reference signal resource in the first set of reference signal resources, the first set of reference signal resources being a subset of a second set of reference signal resources, the predicted value of channel state information corresponding to each reference signal resource in the second set of reference signal resources being determined based on measured values of channel state information corresponding to each reference signal resource in the first set of reference signal resources; and sending a first report related to the first confidence level.
  • the terminal device determines a first confidence level by measuring and predicting the channel state information corresponding to the first reference signal resource set, and then reports a first report to the network device based on the first confidence level, in order to improve the accuracy of the prediction of the channel state information corresponding to the reference signal resource.
  • the first report relating to a first confidence level includes: the first report indicating the first confidence level, or the first report being determined based on the first confidence level.
  • the first confidence level indicates at least one of the following: the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the distribution of the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, the distribution of the difference including at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the maximum value x and the minimum value y among the differences between
  • a first report is determined based on a first confidence level.
  • This first report indicates the index of each reference signal resource in the third reference signal resource set, or it indicates the index and the first confidence level of each reference signal resource in the third reference signal resource set, or it indicates: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level.
  • the third reference signal resource set includes at least one reference signal resource
  • the second reference signal resource set includes the third reference signal resource set
  • the predicted value of the channel state information corresponding to the reference signal resources in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resources in the second reference signal resource set other than the third reference signal resource set.
  • a first report is determined, which is used to indicate: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level; or, when the first confidence level does not meet the preset condition, a first report is determined, which is used to indicate the index of each reference signal resource in the third reference signal resource set.
  • the preset conditions include at least one of the following: the distribution of the difference between the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a first preset threshold, and the distribution of the difference includes at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a second preset threshold; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a third preset threshold; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fourth
  • a first instruction message is received, which is used to indicate preset conditions.
  • the first report is used to indicate: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and a first confidence level, wherein the third reference signal resource set includes at least one reference signal resource, the second reference signal resource set includes the third reference signal resource set, and the predicted value of the channel state information corresponding to the reference signal resource in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resource in the second reference signal resource set other than the third reference signal resource set.
  • a second indication information is received, which is used to indicate a first confidence level determination method, the first confidence level determination method being used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource; and a first confidence level is determined based on the first confidence level determination method and the first set of reference signal resources.
  • the second indication information includes a first confidence level determination method, or the second indication information includes an index of the first confidence level determination method in at least one candidate confidence level determination method, wherein each candidate confidence level determination method in the at least one candidate confidence level determination method is used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource.
  • a third indication information is sent.
  • the third indication information is used to indicate that the first model is a regression model.
  • the first model is used to determine the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set.
  • the device includes modules or units for implementing either the first or third aspect, or any possible implementation thereof.
  • the device includes modules or units for implementing the second aspect or any possible implementation thereof.
  • a communication device includes at least one processor and a communication interface, the communication interface being used for the communication device to interact with other communication devices, and when program instructions are executed in the at least one processor, causing the communication device to perform the method as described in any one of the first or third aspects or any possible implementation thereof.
  • a communication device in a seventh aspect, includes at least one processor and a communication interface, the communication interface being used for the communication device to interact with other communication devices, and when program instructions are executed in the at least one processor, causing the communication device to perform the method as described in the second aspect or any possible implementation thereof.
  • This communication system includes the communication devices described in the fourth aspect and the fifth aspect, or includes the communication devices described in the sixth aspect and the seventh aspect.
  • a ninth aspect provides a computer-readable storage medium storing program code for execution by a device, wherein when the program code is executed, the method described in any one of the first to third aspects or any possible implementation thereof is performed.
  • a chip including at least one processor, wherein when program instructions are executed in the at least one processor, the method described in any one of the first to third aspects or any possible implementation thereof is performed.
  • a computer program product including program instructions that, when the computer program product is run on a communication device, cause the communication device to perform the method described in any one of the first to third aspects or any possible implementation of any one aspect.
  • Figure 1 is a schematic structural diagram of a communication system according to an embodiment of this application.
  • Figure 2 is a schematic structural diagram of a communication system according to another embodiment of this application.
  • Figure 3 is a schematic structural diagram of a communication system according to another embodiment of this application.
  • Figure 4 is a schematic flowchart of a communication method according to an embodiment of the present application.
  • Figure 5 is a schematic flowchart of a communication method according to another embodiment of this application.
  • Figure 6 is a schematic flowchart of a communication method according to another embodiment of this application.
  • Figure 7 is a schematic structural block diagram of a communication device according to an embodiment of the present application.
  • Figure 8 is a schematic structural block diagram of a communication device according to another embodiment of this application.
  • Figure 9 is a schematic structural block diagram of a communication device according to another embodiment of this application.
  • references to "one embodiment” or “some embodiments” as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases “in one embodiment,” “in some embodiments,” “in other embodiments,” “in still other embodiments,” etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean “one or more, but not all, embodiments,” unless otherwise specifically emphasized.
  • the terms “comprising,” “including,” “having,” and variations thereof mean “including but not limited to,” unless otherwise specifically emphasized.
  • “at least one” refers to one or more, and “more than one” refers to two or more.
  • “And/or” describes the relationship between related objects, indicating that three relationships can exist. For example, A and/or B can represent: A alone, A and B simultaneously, and B alone, where A and B can be singular or plural. The character “/” generally indicates that the preceding and following related objects are in an “or” relationship. “At least one of the following” or similar expressions refer to any combination of these items, including any combination of single or plural items.
  • At least one of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.
  • the technical solutions provided in this application can be applied to various communication systems, such as: 5th generation (5G) or new radio (NR) systems, long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, wireless local area network (WLAN) systems, satellite communication systems, future communication networks, such as integrated systems of multiple systems.
  • 5G 5th generation
  • NR new radio
  • LTE long term evolution
  • LTE LTE frequency division duplex
  • TDD LTE time division duplex
  • WLAN wireless local area network
  • satellite communication systems satellite communication systems
  • future communication networks such as integrated systems of multiple systems.
  • D2D device-to-device
  • V2X vehicle-to-everything
  • M2M machine-to-machine
  • MTC machine-type communication
  • IoT Internet of Things
  • a network element can send signals to or receive signals from another network element.
  • the signals may include information, signaling, or data.
  • the network element can also be replaced by an entity, network entity, device, communication device, communication module, node, communication node, etc.
  • This application embodiment uses a network element as an example for description.
  • the communication system may include at least one terminal device and at least one network device.
  • the network device can send downlink signals to the terminal device, and/or the terminal device can send uplink signals to the network device. It is understood that the terminal device in this application embodiment can be replaced by a first network element, and the network device can be replaced by a second network element, both performing the corresponding communication methods described in this disclosure.
  • wireless communication networks such as mobile communication networks
  • the services supported by the networks are becoming increasingly diverse, thus requiring increasingly diverse demands.
  • networks need to support ultra-high speeds, ultra-low latency, and/or massive connectivity.
  • MIMO multiple-input multiple-output
  • network energy efficiency has become a hot research topic.
  • new demands, new scenarios, and new characteristics bring unprecedented challenges to network planning, operation, and efficient operation.
  • artificial intelligence (AI) technology can be introduced into wireless communication networks to achieve network intelligence.
  • AI nodes may also be introduced.
  • Figure 1 is a schematic diagram of a communication system applicable to the communication method of this application embodiment.
  • the communication system 100 may include at least one network device, such as network device 110 shown in Figure 1.
  • the communication system 100 may also include at least one terminal device, such as terminal device 120 and terminal device 130 shown in Figure 1.
  • Network device 110 and terminal devices can communicate via a wireless link.
  • the communication devices in this communication system for example, network device 110 and terminal device 120, can communicate via multi-antenna technology.
  • the communication system 100 further includes an AI network element 140.
  • the AI network element 140 is used to perform AI-related operations, such as building training datasets or training AI models.
  • network device 110 can send data related to the training of the AI model to AI network element 140, which then constructs a training dataset and trains the AI model.
  • the data related to the training of the AI model may include data reported by the terminal device.
  • AI network element 140 can send the results of operations related to the AI model to network device 110, which then forwards them to the terminal device.
  • the results of operations related to the AI model may include at least one of the following: a trained AI model, model evaluation results, or test results.
  • a portion of the trained AI model may be deployed on network device 110, and another portion on the terminal device.
  • the trained AI model may be deployed on network device 110.
  • the trained AI model may be deployed on the terminal device.
  • Figure 1 is only used as an example of the AI network element 140 being directly connected to the network device 110.
  • the AI network element 140 can also be connected to a terminal device.
  • the AI network element 140 can be connected to both the network device 110 and a terminal device simultaneously.
  • the AI network element 140 can also be connected to the network device 110 through a third-party network element. This application embodiment does not limit the connection relationship between the AI network element and other network elements.
  • AI element 140 can also be set as a module in network devices and/or terminal devices, for example, in network device 110 or terminal device shown in Figure 1.
  • Figure 1 is a simplified schematic diagram for ease of understanding.
  • the communication system may also include other devices, such as wireless relay devices and/or wireless backhaul devices, which are not shown in Figure 1.
  • the communication system may include multiple network devices or multiple terminal devices. This application embodiment does not limit the number of network devices and terminal devices included in the communication system.
  • the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device.
  • UE user equipment
  • Terminal devices can be devices that provide voice/data, such as handheld devices with wireless connectivity, in-vehicle devices, etc.
  • terminals include: mobile phones, tablets, laptops, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote medical surgery, wireless terminals in smart grids, wireless terminals in transportation safety, and so on.
  • the embodiments of this application do not limit the scope to wireless terminals in smart cities, smart homes, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication capabilities, computing devices or other processing devices connected to a wireless modem, wearable devices, terminal devices in 5G networks, or terminal devices in future evolved public land mobile networks (PLMNs).
  • SIP session initiation protocol
  • WLL wireless local loop
  • PDAs personal digital assistants
  • handheld devices with wireless communication capabilities computing devices or other processing devices connected to a wireless modem
  • wearable devices wearable devices
  • terminal devices in 5G networks or terminal devices in future evolved public land mobile networks (PLMNs).
  • PLMNs public land mobile networks
  • the terminal device can also be a wearable device.
  • Wearable devices also known as wearable smart devices, are a general term for devices that utilize wearable technology to intelligently design and develop everyday wearables, such as glasses, gloves, watches, clothing, and shoes.
  • Wearable devices are portable devices that are worn directly on the body or integrated into the user's clothing or accessories.
  • Wearable devices are not merely hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction.
  • wearable smart devices include those that are feature-rich, large in size, and can achieve complete or partial functions without relying on a smartphone, such as smartwatches or smart glasses, as well as those that focus on a specific type of application function and require the use of other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.
  • the device for implementing the functions of the terminal device can be the terminal device itself, or it can be any device capable of supporting the terminal device in implementing those functions, such as a chip system.
  • This device can be installed in or used in conjunction with the terminal device.
  • the chip system can be composed of chips or may include chips and other discrete components.
  • This embodiment only uses the terminal device as an example to illustrate the device for implementing the functions of the terminal device, and does not constitute a limitation on the solution of this embodiment.
  • the network device in this application embodiment can be a device for communicating with a terminal device.
  • This network device can also be called an access network device or a wireless access network device, such as a base station.
  • the network device can refer to a radio access network (RAN) node (or device) that connects the terminal device to the wireless network.
  • RAN radio access network
  • a base station can broadly encompass various names listed below, or be replaced by names such as: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), master station, auxiliary station, motor slide retainer (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), radio unit (RU), positioning node, etc.
  • a base station can be a macro base station, micro base station, relay node, donor node, or a combination thereof.
  • a base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus.
  • a base station can also be a mobile switching center, equipment performing base station functions in D2D, V2X, and M2M communications, network-side equipment in future communication networks, or equipment performing base station functions in future communication networks.
  • a base station can support networks using the same or different access technologies.
  • a RAN node can also be a server, wearable device, vehicle, or in-vehicle equipment.
  • the access network equipment in vehicle-to-everything (V2X) technology can be a roadside unit (RSU).
  • V2X vehicle-to-everything
  • RSU roadside unit
  • Base stations can be fixed or mobile.
  • a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move depending on the location of the mobile base station.
  • a helicopter or drone can be configured as a device to communicate with another base station.
  • the network devices mentioned in the embodiments of this application may be devices including CU, DU, or CU and DU, or devices with control plane CU nodes (central unit-control plane (CU-CP)) and user plane CU nodes (central unit-user plane (CU-UP)) and DU nodes.
  • the network devices may include gNB-CU-CP, gNB-CU-UP, and gNB-DU.
  • RAN nodes collaborate to assist terminals in achieving wireless access, with different RAN nodes each implementing some of the base station's functions.
  • RAN nodes can be CUs, DUs, CU-CPs, CU-UPs, or RUs.
  • CUs and DUs can be configured separately or included in the same network element, such as a BBU.
  • RUs can be included in radio frequency equipment or radio frequency units, such as RRUs, AAUs, or RRHs.
  • RAN nodes can support one or more types of fronthaul interfaces, with different fronthaul interfaces corresponding to DUs and RUs with different functions. If the fronthaul interface between the DU and RU is a common public radio interface (CPRI), the DU is configured to implement one or more baseband functions, and the RU is configured to implement one or more radio frequency functions.
  • CPRI common public radio interface
  • some downlink and/or uplink baseband functions such as, for downlink, precoding, digital beamforming (BF), or one or more of inverse fast Fourier transform (IFFT)/cyclic prefix addition (CP), are moved from the DU to the RU; and for uplink, one or more of digital beamforming (BF), or fast Fourier transform (FFT)/cyclic prefix removal (CP), are moved from the DU to the RU.
  • the interface can be an enhanced common public radio interface (eCPRI).
  • eCPRI enhanced common public radio interface
  • the segmentation between DU and RU differs, corresponding to different categories (Cat) of eCPRI, such as eCPRI Cat A, B, C, D, E, F.
  • the DU is configured to implement one or more functions before and after the layer mapping (i.e., coding, rate matching, scrambling, modulation, layer mapping).
  • Other functions after the layer mapping e.g., resource element (RE) mapping, digital beamforming (BF), or one or more of inverse fast Fourier transform (IFFT)/adding a cyclic prefix (CP)
  • the de-RE mapping is used as the dividing line.
  • the DU is configured to implement one or more functions preceding de-mapping (i.e., decoding, rate matching de-matching, descrambling, demodulation, inverse discrete Fourier transform (IDFT), channel equalization, and one or more functions in de-RE mapping).
  • Other functions following de-mapping e.g., one or more functions in digital BF or fast Fourier transform (FFT)/de-CP
  • FFT fast Fourier transform
  • the processing unit in the BBU used to implement baseband functions is called the baseband high (BBH) unit
  • the processing unit in the RRU/AAU/RRH used to implement baseband functions is called the baseband low (BBL) unit.
  • CU or CU-CP and CU-UP
  • DU or RU
  • RU may have different names, but those skilled in the art will understand their meaning.
  • CU can also be called O-CU (open CU)
  • DU can also be called O-DU
  • CU-CP can also be called O-CU-CP
  • CU-UP can also be called O-CU-UP
  • RU can also be called O-RU.
  • Any of the units among CU (or CU-CP, CU-UP), DU, and RU in this application can be implemented through software modules, hardware modules, or a combination of software modules and hardware modules.
  • the apparatus for implementing the functions of a network device can be a network device itself, or an apparatus capable of supporting the network device in implementing those functions, such as a chip system, hardware circuit, software module, or a hardware circuit plus a software module.
  • This apparatus can be installed in or used in conjunction with the network device.
  • the example of a network device is used only to illustrate the apparatus for implementing the functions of the network device, and does not constitute a limitation on the solutions described in this embodiment.
  • Network devices and/or terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; and they can also be deployed in the air on airplanes, balloons, and satellites. This application does not limit the scenario in which the network devices and terminal devices are located.
  • terminal devices and network devices can be hardware devices, or software functions running on dedicated hardware or general-purpose hardware, such as virtualization functions instantiated on a platform (e.g., a cloud platform), or entities that include dedicated or general-purpose hardware devices and software functions. This application does not limit the specific form of the terminal devices and network devices.
  • the AI node can be deployed in one or more of the following locations within the communication system: access network devices, terminal devices, or core network devices, etc.
  • the AI node can be deployed independently, for example, in a location other than any of the aforementioned devices, such as in the host or cloud server of an over-the-top (OTT) system.
  • the AI node can communicate with other devices in the communication system, which can be one or more of the following: network devices, terminal devices, or core network elements, etc.
  • this application does not limit the number of AI nodes. For example, when there are multiple AI nodes, they can be divided based on function, such as different AI nodes being responsible for different functions.
  • AI nodes can be AI network elements or AI modules.
  • AI nodes can be independent devices, or they can be integrated into the same device to implement different functions.
  • they can be network elements in hardware devices, software functions running on dedicated hardware, or virtualization functions instantiated on a platform (e.g., a cloud platform). This application does not limit the specific form of the AI nodes described above.
  • FIG. 2 illustrates a possible application framework in a communication system.
  • network elements in the communication system are connected via interfaces (e.g., NG, Xn) or air interfaces.
  • These network element nodes such as core network equipment, access network nodes (RAN nodes), terminal equipment, or one or more devices in the operation administration and maintenance (OAM) system, are equipped with one or more AI modules (only one is shown in Figure 2 for clarity).
  • An access network node can be a single RAN node or can include multiple RAN nodes, for example, including CU and DU.
  • CU and/or DU can also be equipped with one or more AI modules.
  • a CU can be further divided into CU-CP and CU-UP.
  • One or more AI models are configured in CU-CP and/or CU-UP.
  • CU and DU are connected via an F1 interface.
  • CU and CU are connected via an Xn interface.
  • AI modules are used to implement corresponding AI functions.
  • AI modules deployed in different network elements can be the same or different.
  • the AI module can implement different functions.
  • the AI module model can be configured based on one or more of the following parameters: structural parameters (e.g., at least one of the following: number of neural network layers, neural network width, inter-layer connections, neuron weights, neuron activation function, or biases in the activation function), input parameters (e.g., the type and/or dimension of the input parameters), or output parameters (e.g., the type and/or dimension of the output parameters).
  • the biases in the activation function can also be referred to as the neural network biases.
  • An AI module can have one or more models.
  • a model can infer an output, which includes one or more parameters.
  • the learning, training, or inference processes of different models can be deployed on different nodes or devices, or they can be deployed on the same node or device.
  • the network device can be a network device equipped with one or more AI modules.
  • the network device can be one or more devices in the core network, access network (RAN) node, or OAM as shown in Figure 2.
  • the AI module can be the RIC shown in Figure 3, such as a near real-time RIC or a non-real-time RIC.
  • the near real-time RIC is set in the RAN node (e.g., in CU, DU), while the non-real-time RIC is set in the OAM, cloud server, core network device, or other network device.
  • the RIC can obtain a subset from multiple terminal devices from the RAN node (e.g., CU, CU-CP, CU-UP, DU, and/or RU), reassemble it into a training dataset #2, and train based on the training dataset #2.
  • the near real-time RIC and the non-real-time RIC can also be set up separately as a network element; the network device can be a near real-time RIC or a non-real-time RIC.
  • Figure 3 illustrates a possible application framework in a communication system.
  • the communication system includes a RAN intelligent controller (RIC).
  • the RIC can be the AI module shown in Figure 2, used to implement AI-related functions.
  • RICs include near-real-time RICs (near-RT RICs) and non-real-time RICs (non-RT RICs).
  • Non-real-time RICs primarily process non-real-time information, such as data that is not sensitive to latency, with latency in the order of seconds.
  • Real-time RICs primarily process near-real-time information, such as data that is relatively sensitive to latency, with latency in the order of tens of milliseconds.
  • NRT RICs are used for model training and inference. For example, they are used to train AI models and then use those models for inference.
  • NRT RICs can obtain network-side and/or terminal-side information from RAN nodes (e.g., CUs, CU-CPs, CU-UPs, DUs, and/or RUs) and/or terminals. This information can be used as training data or inference data.
  • the NRT RIC can deliver inference results to RAN nodes and/or terminals.
  • inference results can be exchanged between CUs and DUs, and/or between DUs and RUs.
  • the NRT RIC delivers inference results to a DU, which then forwards them to an RU.
  • Non-real-time RICs are also used for model training and inference. For example, they can be used to train AI models and then use those models for inference.
  • Non-real-time RICs can obtain network-side and/or terminal-side information from RAN nodes (e.g., CUs, CU-CPs, CU-UPs, DUs, and/or RUs) and/or terminals. This information can be used as training data or inference data, and the inference results can be delivered to RAN nodes and/or terminals.
  • RAN nodes e.g., CUs, CU-CPs, CU-UPs, DUs, and/or RUs
  • This information can be used as training data or inference data, and the inference results can be delivered to RAN nodes and/or terminals.
  • inference results can be exchanged between CUs and DUs, and/or between DUs and RUs; for example, a non-real-time RIC delivers inference results
  • Near real-time RICs and non-real-time RICs can also be configured as separate network elements.
  • near real-time RICs and non-real-time RICs can also be part of other devices.
  • near real-time RICs can be set in RAN nodes (e.g., CU, DU), while non-real-time RICs can be set in OAM, cloud servers, core network devices, or other network devices.
  • AI has been introduced into wireless communication networks and is widely used in many application scenarios of air interface technology, such as channel state information (CSI) feedback, CSI prediction, beam management, and positioning.
  • CSI channel state information
  • terminal devices or network devices can efficiently and accurately identify the best downlink beam using AI models.
  • This AI model can reside solely in the terminal device or solely in the network device.
  • AI-based beam management includes two typical use cases: spatial downlink beam prediction and temporal downlink beam prediction.
  • the terminal device performs measurements based on reference signal resources and reports the index of the reference signal resources and/or channel state information to achieve beam management.
  • Each reference signal resource carries a reference signal, including SSB, CSI-RS, etc., and this reference signal resource is, for example, a beam.
  • the optimal reference signal resource e.g., the reference signal resource with the largest measured value of channel state information.
  • the set of reference signal resources can be very large (e.g., 1024), and traditional scanning processes require significant measurement overhead.
  • only a portion of the reference signal resources e.g., set A
  • the top k (top-k) optimal reference signal resources in set A can be predicted, thus significantly reducing measurement overhead.
  • k is a positive integer.
  • the AI beam prediction model can use the measured channel state information corresponding to reference signal resources at historical moments to predict the predicted channel state information at future moments, thereby improving beam management robustness in scenarios with rapidly changing channels and avoiding frequent signal measurements and handovers.
  • the beam prediction model can reside in terminal devices or network devices.
  • terminal devices need to predict the channel state information (CSO) value for each reference signal resource in the reference resource set based on measured values of CSO for a subset of reference resources. They then report one or more reference resources with higher predicted CSO values to the network device. Therefore, improving the accuracy of predicting the CSO for reference resources is crucial in beam management scenarios.
  • CSO channel state information
  • Figure 4 is a schematic flowchart of a communication method provided in an embodiment of this application.
  • the method in Figure 4 is applied to a communication system, such as the communication system shown in Figure 1, Figure 2, or Figure 3.
  • the network device in Figure 4 is, for example, the network device 110 in Figure 1, the core network device in Figure 2, the access network node, or the access network node in Figure 3.
  • the terminal device in Figure 4 is, for example, the terminal device in Figure 1, Figure 2, or Figure 3.
  • the method in Figure 4 includes the following steps.
  • the terminal device performs measurements based on each reference signal resource in the first reference signal resource set to obtain the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the first reference signal resource set includes at least one reference signal resource.
  • the channel state information includes RSRP or SINR, etc.
  • step S410 the network device executes step S401.
  • each reference signal resource in the first set of reference signal resources corresponds to a reference signal.
  • the reference signal includes an SSB and/or a CSI-RS.
  • the reference signal resource is, for example, a beam. In other words, the reference signal resource in the embodiments of this application can be replaced with a beam.
  • the network device sends fourth indication information to the terminal device.
  • the terminal device receives the fourth indication information.
  • the fourth indication information includes the at least one reference signal.
  • the fourth indication information includes the index of the at least one reference signal in a first set of reference signals.
  • the first set of reference signals includes at least one reference signal.
  • the terminal device predicts the channel state information corresponding to each reference signal resource in the second reference signal resource set based on the measured values of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the second reference signal resource set includes multiple reference signal resources, and the first reference signal resource set is a subset of the second reference signal resource set.
  • the second reference signal resource set may be a virtual set.
  • the network device may not have configured the second reference signal resource set to the terminal device.
  • the terminal device uses the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set as input to the first model, thereby obtaining the output of the first model, which is the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set.
  • the terminal device determines the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set based on the first model and the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • This first model is used to determine the predicted value of the channel state information corresponding to the reference signal resource.
  • This first model is an AI model.
  • the first model is a regression model.
  • the terminal device before step S410, sends a third indication message to the network device, the third indication message being used to indicate that the first model is a regression model.
  • the terminal device determines a first confidence level based on the measured values of the channel state information corresponding to each reference signal resource in the first reference signal resource set obtained in S410 and the predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set obtained in S420. This first confidence level is used to determine whether the predicted values corresponding to the second reference signal resource set are reliable.
  • the first confidence level indicates at least one of the following: the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the distribution of the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, the distribution of the difference including at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set; or, the maximum value x and the minimum value y among the differences between the measured and predicted values of the channel state information corresponding to
  • “includes” is one implementation of "instruction”.
  • one possible implementation of "A instructs B” is: A includes B.
  • the terminal device determines the first confidence level based on a first confidence level determination method and the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the first confidence level determination method is used to determine the confidence level of the predicted values of the channel state information corresponding to the reference signal resources.
  • the terminal device determines the difference between the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set, i.e., the first confidence level, based on the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the first confidence level determination method is pre-configured. Alternatively, the first confidence level determination method is indicated by the network device.
  • the network device before step S430, sends second indication information to the terminal device.
  • the terminal device receives the second indication information from the network device. This second indication information is used to indicate the first confidence level determination method.
  • the second indication information includes a first confidence level determination method.
  • the second indication information includes an index of the first confidence level determination method among at least one candidate confidence level determination method.
  • Each of the at least one candidate confidence level determination method is used to determine the confidence level of the predicted value of the channel state information corresponding to the reference signal resource.
  • the at least one candidate confidence level determination method is pre-configured.
  • the at least one candidate confidence level determination method is indicated by the network device.
  • the network device sends fifth indication information to the terminal device.
  • the terminal device receives the fifth indication information from the network device.
  • This fifth indication information is used to indicate at least one candidate confidence level determination method.
  • the terminal device executes step S402.
  • a first report is sent to the network device.
  • the network device receives the first report.
  • the first report is related to a first confidence level.
  • the first report is used to indicate the first confidence level.
  • the first report is determined based on the first confidence level.
  • the terminal device determines a first report based on the first confidence level and sends the first report to the network device, as shown in the method in FIG5.
  • the terminal device after determining the first confidence level, the terminal device directly sends a first report to the network device, as shown in the method in FIG6.
  • the terminal device determines a first confidence level by measuring and predicting the channel state information corresponding to the first reference signal resource set. This enables the network device and/or the terminal device to determine whether the predicted value of the channel state information corresponding to the reference signal resource is reliable based on the first confidence level, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • Figure 5 is a schematic flowchart of a communication method provided in an embodiment of this application.
  • the method in Figure 5 is applied to a communication system, such as the communication system shown in Figure 1, Figure 2, or Figure 3.
  • the network device in Figure 5 is, for example, the network device 110 in Figure 1, the core network device in Figure 2, the access network node, or the access network node in Figure 3.
  • the terminal device in Figure 5 is, for example, the terminal device in Figure 1, Figure 2, or Figure 3.
  • the method in Figure 5 includes the following steps.
  • Step S510 configure a first reference signal resource set for the terminal device.
  • the terminal device determines the first reference signal resource set.
  • Step S510 is similar to step S401, and will not be described again here.
  • step S520 the terminal device executes step S501.
  • a third indication message is sent to the network device.
  • the network device receives the third indication message.
  • This third indication message is used to indicate that the first model is a regression model.
  • the first model is used to determine the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set.
  • the first model is an AI model.
  • the second reference signal resource set is described in step S420.
  • S510 and S501 can be executed first, followed by S501.
  • S501 can be executed first, followed by S510.
  • S520 determine the first confidence level. For the specific implementation, see S410-S430 in Figure 4, which will not be described in detail here.
  • the first report is used to indicate the index of each reference signal resource in the third reference signal resource set.
  • the first report is used to indicate the index and a first confidence level of each reference signal resource in the third reference signal resource set.
  • the first report is used to indicate: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level.
  • the third reference signal resource set includes at least one reference signal resource.
  • the second reference signal resource set includes the third reference signal resource set, that is, the third reference signal resource set is a subset of the second reference signal resource set.
  • the predicted value of the channel state information corresponding to the reference signal resources in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resources in the second reference signal resource set excluding the third reference signal resource set.
  • this third reference signal resource set may be a virtual set. In other words, the network device may not have configured this third reference signal resource set to the terminal device.
  • the terminal device determines a first report based on preset conditions and a first confidence level. For example, a first report is determined when the first confidence level meets the preset conditions. This first report indicates: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and the first confidence level. A first report is determined when the first confidence level does not meet the preset conditions. This first report indicates the index of each reference signal resource in the third reference signal resource set, or it indicates both the index of each reference signal resource in the third reference signal resource set and the first confidence level.
  • a first confidence level satisfying a preset condition indicates that the predicted value of the channel state information corresponding to the third reference signal resource set has high confidence, or the predicted value of the channel state information corresponding to the third reference signal resource set is reliable. Conversely, a first confidence level not satisfying the preset condition indicates that the predicted value of the channel state information corresponding to the third reference signal resource set has low confidence, or the predicted value of the channel state information corresponding to the third reference signal resource set is unreliable.
  • the preset condition includes at least one of the following: the distribution of the difference between the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a first preset threshold, and the distribution of the difference includes at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference; or, the difference between the mean of the measured value and the mean of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a second preset threshold; or, the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a third preset threshold; or, the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fourth preset threshold; or, the difference between the maximum value
  • the first confidence level indicates the difference or distribution of the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set
  • the distribution of the difference includes at least one of the following: the mean of the difference, the variance of the difference, or the standard deviation of the difference. If the distribution of the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set is greater than the first preset threshold, it indicates that the first confidence level does not meet the preset condition.
  • the first confidence level indicates the difference between the mean of the measured values and the mean of the predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set
  • the difference between the mean of the measured values and the mean of the predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a second preset threshold, it indicates that the first confidence level meets the preset condition.
  • the difference between the mean of the measured values and the mean of the predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set is greater than the second preset threshold, it indicates that the first confidence level does not meet the preset condition.
  • the first confidence level indicates the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set
  • a third preset threshold it indicates that the first confidence level meets the preset condition. If the difference between the variance of the measured value and the variance of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is greater than the third preset threshold, it indicates that the first confidence level does not meet the preset condition.
  • the first confidence level indicates the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set
  • the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fourth preset threshold, it indicates that the first confidence level meets the preset condition. If the difference between the standard deviation of the measured value and the standard deviation of the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set is greater than the fourth preset threshold, it indicates that the first confidence level does not meet the preset condition.
  • the first confidence level indicates the difference between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, or when the first confidence level indicates the maximum value x and the minimum value y among the differences between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set, if the difference between the maximum value x and the minimum value y among the differences between the measured and predicted values of the channel state information corresponding to each reference signal resource in the first reference signal resource set is less than or equal to a fifth preset threshold, then the first confidence level satisfies the preset condition.
  • the first confidence level does not satisfy the preset condition.
  • the distribution of the difference between the measured value and the predicted value being less than or equal to a first preset threshold includes: the distribution of the absolute value of the difference between the measured value and the predicted value being less than or equal to the first preset threshold.
  • the mean of the absolute value of the difference between the measured value and the predicted value is less than or equal to the first preset threshold.
  • the variance of the absolute value of the difference between the measured value and the predicted value is less than or equal to the first preset threshold.
  • the standard deviation of the absolute value of the difference between the measured value and the predicted value is less than or equal to the first preset threshold.
  • the difference between the mean of the measured value and the mean of the predicted value being less than or equal to a second preset threshold includes: the absolute value of the difference between the mean of the measured value and the mean of the predicted value is less than or equal to the second preset threshold.
  • the difference between the variance of the measured value and the variance of the predicted value being less than or equal to a third preset threshold includes: the absolute value of the difference between the variance of the measured value and the variance of the predicted value is less than or equal to the third preset threshold.
  • the difference between the standard deviation of the measured value and the standard deviation of the predicted value being less than or equal to a fourth preset threshold includes: the absolute value of the difference between the standard deviation of the measured value and the standard deviation of the predicted value is less than or equal to the fourth preset threshold.
  • the difference between the maximum value x and the minimum value y is less than or equal to the fifth preset threshold, including: the absolute value of the difference between the maximum value x and the minimum value y is less than or equal to the fifth preset threshold.
  • the preset condition is pre-configured. Alternatively, the preset condition is indicated by the network device.
  • the network device sends first indication information to the terminal device.
  • the terminal device receives the first indication information from the network device. This first indication information is used to indicate the preset condition.
  • S540 sends a first report to the network device.
  • the network device receives the first report from the terminal device.
  • the network device determines that the predicted value of the channel state information corresponding to the third reference signal resource set is reliable.
  • the network device determines that the predicted value of the channel state information corresponding to the third reference signal resource set is unreliable.
  • the first network device executes step S550.
  • S550 configures a third reference signal resource set for the terminal device.
  • the terminal device receives the third reference signal resource set from the network device.
  • each reference signal resource in the third set of reference signal resources corresponds to a reference signal.
  • the reference signal includes an SSB and/or a CSI-RS.
  • the reference signal resource is, for example, a beam. In other words, the reference signal resource in the embodiments of this application can be replaced with a beam.
  • the terminal device after receiving the third reference signal resource set, performs measurements based on the third reference signal resource set to determine the measured value of the channel state information corresponding to each reference signal resource in the third reference signal resource set.
  • the terminal device determines the measured value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, it executes step S560.
  • a second report is sent to the network device.
  • the network device receives the second report from the terminal device.
  • This second report is used to indicate the measured values of the channel state information corresponding to each reference signal resource in the third reference signal resource set.
  • the terminal device after the terminal device determines the first confidence level, it can also determine the first report that needs to be reported based on the first confidence level. This enables the network device to determine whether the predicted value of the channel state information corresponding to the reference signal resource is reliable based on the content included in the first report after receiving it, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • Figure 6 is a schematic flowchart of a communication method provided in an embodiment of this application.
  • the method in Figure 6 is applied to a communication system, such as the communication system shown in Figure 1, Figure 2, or Figure 3.
  • the network device in Figure 6 is, for example, the network device 110 in Figure 1, the core network device in Figure 2, the access network node, or the access network node in Figure 3.
  • the terminal device in Figure 6 is, for example, the terminal device in Figure 1, Figure 2, or Figure 3.
  • the method in Figure 6 includes the following steps.
  • Step S610 Configure a first reference signal resource set for the terminal device.
  • the terminal device determines the first reference signal resource set.
  • Step S610 is similar to step S401, and will not be described again here.
  • step S610 the terminal device executes step S601.
  • Step S601 send third indication information to the network device.
  • the network device receives the third indication information.
  • Step S601 is similar to step S501, and will not be described again here.
  • S610 and S601 are executed.
  • S610 can be executed first, followed by S601.
  • S601 can be executed first, followed by S610.
  • S620 determine the first confidence level. For the specific implementation, see S410-S430 in Figure 4, which will not be described in detail here.
  • S630 sends a first report to the network device.
  • the network device receives the first report from the terminal device.
  • the first report indicates: the index of each reference signal resource in the third reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, and a first confidence level.
  • the third reference signal resource set includes at least one reference signal resource.
  • the second reference signal resource set includes the third reference signal resource set, meaning the third reference signal resource set is a subset of the second reference signal resource set.
  • the predicted value of the channel state information corresponding to the reference signal resources in the third reference signal resource set is greater than or equal to the predicted value of the channel state information corresponding to the reference signal resources in the second reference signal resource set excluding the third reference signal resource set.
  • this third reference signal resource set may be a virtual set. In other words, the network device may not have configured this third reference signal resource set to the terminal device.
  • the network device After determining a first confidence level based on the first report, the network device determines whether the predicted value of the channel state information corresponding to the third reference signal resource set is reliable based on the first confidence level and preset conditions. For example, if the first confidence level meets the preset conditions, the predicted value of the channel state information corresponding to the third reference signal resource set is determined to be reliable. If the first confidence level does not meet the preset conditions, the predicted value of the channel state information corresponding to the third reference signal resource set is determined to be unreliable.
  • the preset condition is described in step S530.
  • the relevant description of whether the first confidence level meets or does not meet the preset condition is also described in step S530.
  • the preset conditions are pre-configured.
  • the network device executes step S650.
  • step S650 Configure a third reference signal resource set for the terminal device.
  • the terminal device receives the third reference signal resource set from the network device.
  • the implementation of step S650 is similar to that of step S550, and will not be described again here.
  • the terminal device after receiving the third reference signal resource set, performs measurements based on the third reference signal resource set to determine the measured value of the channel state information corresponding to each reference signal resource in the third reference signal resource set.
  • the terminal device determines the measured value of the channel state information corresponding to each reference signal resource in the third reference signal resource set, it executes step S660.
  • step S660 Send a second report to the network device.
  • the network device receives the second report from the terminal device.
  • the implementation of step S660 is similar to that of step S560, and will not be described again here.
  • the terminal device after the terminal device determines the first confidence level, it sends the first confidence level to the network device, so that the network device determines whether the predicted value of the channel state information corresponding to the reference signal resource reported by the terminal device is reliable based on the first confidence level, thereby improving the accuracy of predicting the channel state information corresponding to the reference signal resource.
  • Figures 7 to 9 are schematic diagrams illustrating the possible structures of communication devices provided in embodiments of this application. These communication devices can be used to implement the functions of terminal devices or network devices in the above method embodiments, and thus can also achieve the beneficial effects of the above method embodiments.
  • the communication device can be the network device 110 shown in Figure 1, or the terminal device 120 or terminal device 130 shown in Figure 1.
  • the communication device can be the terminal device or network device shown in Figures 2 to 6.
  • the communication device 700 includes an acquisition unit 710 and a processing unit 720.
  • the communication device 700 is used to implement the functions of the terminal device in the method embodiments shown in Figures 4 to 6 above.
  • the acquisition unit 710 is used to acquire the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set, and the acquisition unit 710 is used to execute step S410 in FIG4.
  • the processing unit 720 is used to determine the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set based on the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the processing unit 720 is also used to determine a first confidence level based on the measured value and the predicted value of the channel state information corresponding to each reference signal resource in the first reference signal resource set.
  • the processing unit 720 is used to execute steps S420 and S430 in FIG4.
  • the measured value of the channel state information corresponding to each reference signal resource in the first reference signal resource set, the predicted value of the channel state information corresponding to each reference signal resource in the second reference signal resource set, and the first confidence level are similar to those in Figure 4, and will not be described again here.
  • the communication device 700 further includes a transceiver unit.
  • the transceiver unit is used to receive a first reference signal resource set and to send a first report to the network device.
  • the transceiver unit is used to perform step S402 in FIG4.
  • the first reference signal resource set and the first report are similar to those in FIG4, and will not be described again here.
  • the processing unit 720 is used to determine a first confidence level and to determine a first report based on the first confidence level.
  • the processing unit 720 is used to execute steps S520 and S530 in FIG5.
  • the first confidence level and the first report are similar to the first confidence level and the first report in FIG5, and will not be described again here.
  • the transceiver unit when the communication device 700 is used to implement the functions of the terminal device in the method embodiment shown in FIG5: the transceiver unit is used to send third indication information to the network device.
  • the transceiver unit is also used to receive a first reference signal resource set.
  • the transceiver unit is also used to send a first report to the network device.
  • the transceiver unit is also used to receive a third reference signal resource set.
  • the transceiver unit is also used to send a second report to the network device.
  • the transceiver unit is used to execute steps S501, S540, and S560 in FIG5.
  • the third indication information, the first reference signal resource set, the third reference signal resource set, and the second report are similar to those in FIG5, and will not be described again here.
  • the processing unit 720 is used to determine a first confidence level.
  • the processing unit 720 is used to execute step S620 in FIG. 6.
  • the first confidence level is similar to the first confidence level in FIG. 6, and will not be described again here.
  • the transceiver unit when the communication device 700 is used to implement the functions of the terminal device in the method embodiment shown in FIG6: the transceiver unit is used to send third indication information to the network device.
  • the transceiver unit is also used to receive a first reference signal resource set.
  • the transceiver unit is also used to send a first report to the network device.
  • the transceiver unit is also used to receive a third reference signal resource set.
  • the transceiver unit is also used to send a second report to the network device.
  • the transceiver unit is used to execute steps S601, S630, and S660 in FIG6.
  • the third indication information, the first reference signal resource set, the first report, the third reference signal resource set, and the second report are similar to those in FIG6, and will not be described again here.
  • the communication device 800 includes a processing unit 810 and a transceiver unit 820.
  • the communication device 800 is used to implement the functions of the network device in the method embodiments shown in Figures 4 to 6 above.
  • the transceiver unit 820 is used to configure a first reference signal resource set for the terminal device and to receive a first report.
  • the transceiver unit 820 is used to execute step S401 in FIG4.
  • the first reference signal resource set and the first report are similar to those in FIG4, and will not be described again here.
  • the transceiver unit 820 is used to receive third indication information.
  • the transceiver unit 820 is also used to configure a first reference signal resource set for the terminal device.
  • the transceiver unit 820 is also used to receive a first report.
  • the transceiver unit 820 is also used to configure a third reference signal resource set for the terminal device.
  • the transceiver unit 820 is also used to receive a second report.
  • the transceiver unit 820 is used to execute steps S510 and S550 in FIG5.
  • the third indication information, the first reference signal resource set, the third reference signal resource set, and the second report are similar to those in FIG5, and will not be described again here.
  • the transceiver unit 820 is used to receive third indication information.
  • the transceiver unit 820 is also used to configure a first reference signal resource set for the terminal device.
  • the transceiver unit 820 is also used to receive a first report.
  • the transceiver unit 820 is also used to configure a third reference signal resource set for the terminal device.
  • the transceiver unit 820 is also used to receive a second report.
  • the transceiver unit 820 is used to execute steps S610 and S650 in FIG6.
  • the third indication information, the first reference signal resource set, the first report, the third reference signal resource set, and the second report are similar to those in FIG6, and will not be described again here.
  • the processing unit 810 is used to determine whether the predicted value of the channel state information corresponding to the third reference signal resource set is reliable based on the first confidence level.
  • the processing unit 810 is used to execute step S640 in FIG6.
  • the first confidence level is similar to the first confidence level in FIG6, and will not be described again here.
  • processing unit 810 and the transceiver unit 820 please refer to the relevant descriptions in the method embodiments shown in Figures 4 to 6.
  • the communication device 900 includes a processing circuit 910. Further, the communication device 900 may also include a processing circuit 910 and a communication circuit 920. The processing circuit 910 and the communication circuit 920 are coupled to each other. The processing circuit may be one or more processors, or all or part of the circuitry within one or more processors used for control or processing functions. It is understood that when the communication device 900 is a network device or a terminal device, the communication circuit 920 may be a transceiver circuit, a transceiver, or an input/output interface. When the communication device 900 is a chip for a network device or a terminal device, the communication circuit 920 may be an input/output interface or an input/output circuit.
  • the communication device 900 may also include a memory 930 for storing instructions executed by the processor 910, or storing input data required by the processor 910 to execute instructions, or storing data generated after the processor 910 executes instructions.
  • the processing circuit 910 is used to implement the functions of the acquisition unit and the processing unit, and the communication circuit 920 is used to implement the functions of the transceiver unit.
  • the terminal chip implements the functions of the terminal in the above method embodiments.
  • the terminal chip receives information from other modules (such as radio frequency modules or antennas) in the terminal, which is information sent to the terminal by the base station; or, the terminal chip sends information to other modules (such as radio frequency modules or antennas) in the terminal, which is information sent to the base station by the terminal.
  • the base station module implements the functions of the base station in the above method embodiments.
  • the base station module receives information from other modules (such as radio frequency modules or antennas) in the base station, information sent by the terminal to the base station; or, the base station module sends information to other modules (such as radio frequency modules or antennas) in the base station, information sent by the base station to the terminal.
  • the base station module can be the baseband chip of the base station, or a DU (Digital Unit) or other modules.
  • the DU can be a DU under an Open Radio Access Network (O-RAN) architecture.
  • OF-RAN Open Radio Access Network
  • processors in the embodiments of this application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), graphics processing units, neural processing units, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof.
  • DSPs digital signal processors
  • ASICs application-specific integrated circuits
  • FPGAs field-programmable gate arrays
  • graphics processing units neural processing units, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof.
  • a general-purpose processor can be a microprocessor or any conventional processor.
  • the method steps in the embodiments of this application can be implemented in hardware or in software instructions executable by a processor.
  • the software instructions can consist of corresponding software modules, which can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, registers, hard disks, portable hard disks, compact disc read-only memory (CD-ROM), or any other form of storage medium well known in the art.
  • An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium.
  • the storage medium can also be a component of the processor.
  • the processor and storage medium can reside in an ASIC. Alternatively, the ASIC can reside in a base station or terminal.
  • the processor and storage medium can also exist as discrete components in a base station or terminal.
  • This application also provides a communication system, which includes the network device and terminal device described in the embodiments of this application.
  • the computer-readable storage medium can be any available medium that a computing device can store, or a data storage device such as a data center containing one or more available media.
  • the available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state drive).
  • the computer-readable storage medium includes instructions or program code that, when executed on a computing device, cause the computing device to perform the methods provided above.
  • This application also provides a computer program product, which may be a software or program product containing instructions capable of running on a computing device or stored on any usable medium.
  • the computing device When the instructions are executed on the computing device, the computing device performs the methods provided above, or performs the functions of the apparatus provided above.
  • This application also provides a chip including at least one processor, which, when program instructions are executed by the at least one processor, causes the at least one processor to perform the methods provided above.
  • the disclosed systems, apparatuses, and methods can be implemented in other ways.
  • the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods.
  • multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
  • the units described as separate components may or may not be physically separate.
  • the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
  • the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
  • the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.
  • the aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

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Abstract

本申请提供了一种通信方法和相关设备。该方法包括：获取第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值；根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值，第一参考信号资源集合为第二参考信号资源集合的子集；根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。该方法通过第一参考信号资源集合对应的信道状态信息的测量值和预测值，确定第一置信度，从而确定该预测值是否可信，进而有利于提高参考信号资源对应的信道状态信息的预测的准确度。

Description

一种通信方法和相关设备
本申请要求在2024年5月24日提交中国国家知识产权局、申请号为202410652599.0的中国专利申请的优先权，发明名称为“一种通信方法和相关设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信领域，并且更具体地，涉及一种通信方法、通信装置、计算机可读存储介质、芯片和计算机程序产品。
背景技术
在基于人工智能(artificial intelligence，AI)的波束管理场景下，为节省测量开销，终端设备根据参考信号资源集合中的部分参考信号资源进行测量，获得该部分参考信号资源对应的信道状态信息的测量值。终端设备根据该部分参考信号资源对应的信道状态信息的测量值和AI模型，预测该参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。终端设备从该参考信号资源集合中确定对应的信道状态信息的预测值较大的一个或多个参考信号资源进行上报。该参考信号资源集合中的每个参考信号资源用于承载一个参考信号，该参考信号包括同步信号块(synchronizing signal block，SSB)和/或信道状态信息参考信号(channel state information reference signal，CSI-RS)等。该参考信号资源例如为波束。
因此，如何提高预测参考信号资源对应的信道状态信息的准确度成为亟待解决的问题。
发明内容
本申请提供一种通信方法、通信装置、计算机可读存储介质、芯片和计算机程序产品，可以确定参考信号资源对应的信道状态信息的预测值的置信度，以期有利于提高预测参考信号资源对应的信道状态信息的准确度。
第一方面，提供了一种通信方法。该方法包括：获取第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，该第一参考信号资源集合中包括至少一个参考信号资源；根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值，该第二参考信号资源集合包括多个参考信号资源，第一参考信号资源集合为第二参考信号资源集合的子集；根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。
本申请实施例中，通过第一参考信号资源集合对应的信道状态信息的测量值和预测值，确定第一置信度，从而使得网络设备和/或终端设备可以根据该第一置信度，确定该参考信号资源对应的信道状态信息的预测值是否可信，进而有利于提高预测参考信号资源对应的信道状态信息的准确度。
在一些实施例中，该第一置信度用于第二参考信号资源集合对应的信道状态信息的预测值是否可信的确定。
在一些实施例中，信道状态信息例如为参考信号接收功率(reference signal received power，RSRP)或信号干扰噪声比(signal to interference plus noise ratio，SINR)等。
结合第一方面，在第一方面的某些实现方式中，第一置信度指示以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
本申请实施例中，提供了标准化的置信度计算方案，使得终端设备可以根据标准化的置信度计算方案，确定参考信号资源对应的信道状态信息的预测值的置信度。
结合第一方面，在第一方面的某些实现方式中，根据第一置信度，确定第一报告，该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引，或者该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度，或者该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度，其中第三参考信号资源集合中包括至少一个参考信号资源，第二参考信号资源集合包括第三参考信号资源集合，第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值；发送第一报告。
本申请实施例中，终端设备根据第一置信度，确定上报的第一报告指示的内容，从而使得网络设备在接收到该第一报告后，确定是否可以根据该第一报告中指示的参考信号资源确定与终端设备进行通信的通信资源。
结合第一方面，在第一方面的某些实现方式中，在第一置信度满足预设条件时，确定第一报告，该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度；或者，在第一置信度不满足预设条件时，确定第一报告，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引。
本申请实施例中，终端设备根据第一置信度是否满足预设条件，确定上报的第一报告的内容，从而便于网络设备确定是否可以根据该第一报告中指示的参考信号资源确定与终端设备进行通信的通信资源。
结合第一方面，在第一方面的某些实现方式中，预设条件包括以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。
本申请实施例中，在第一置信度指示的内容不同时，根据对应的预设阈值，确定第一置信度是否满足预设条件，从而便于终端设备确定上报的第一报告中包括的内容。
结合第一方面，在第一方面的某些实现方式中，接收第一指示信息，第一指示信息用于指示预设条件。
本申请实施例中，第一指示信息可以是预配置的信息。或者，第一指示信息可以由网络设备指示。
结合第一方面，在第一方面的某些实现方式中，发送第一报告，该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度，其中第三参考信号资源集合中包括至少一个参考信号资源，第二参考信号资源集合包括第三参考信号资源集合，第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
本申请实施例中，终端设备确定第一置信度之后，直接向网络设备上报第一报告，使得网络设备可以根据第一报告中的第一置信度，确定终端设备上报的参考信号资源对应的信道状态信息的预测值是否可信，从而以期有利于提高预测参考信号资源对应的信道状态信息的准确度。
结合第一方面，在第一方面的某些实现方式中，接收第二指示信息，该第二指示信息用于指示第一置信度确定方式，第一置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度；根据第一置信度确定方式、第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。
本申请实施例中，终端设备根据网络设备指示的置信度确定方式，确定第一置信度，从而增强网络设备对终端设备上报的置信度的可信度。
结合第一方面，在第一方面的某些实现方式中，第二指示信息包括第一置信度确定方式，或者第二指示信息包括第一置信度确定方式在至少一个候选置信度确定方式中的索引，至少一个候选置信度确定方式中的每个候选置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度。
本申请实施例中，网络设备可以直接向终端设备指示一种具体的置信度确定方式，或者网络设备可以向终端设备指示置信度确定方式的索引，从而使得终端设备确定该第一置信度确定方式。
结合第一方面，在第一方面的某些实现方式中，发送第三指示信息，第三指示信息用于指示第一模型为回归模型，第一模型用于确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。
本申请实施例中，终端设备可以向网络设备上报确定参考信号资源对应的信道状态信息的预测值的模型为回归模型，从而使得网络设备可以向终端设备指示置信度确定方式和/或预设条件等。
第二方面，提供了一种通信方法。该方法包括：配置第一参考信号资源集合，该第一参考信号资源集合中包括至少一个参考信号资源；接收第一报告，该第一报告与第一置信度相关，其中第一置信度是基于第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的，第一参考信号资源集合为第二参考信号资源集合的子集，第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值是基于第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的。
本申请实施例中，通过第一参考信号资源集合对应的信道状态信息的测量值和预测值，确定第一置信度，从而使得网络设备可以根据该第一置信度，确定该参考信号资源对应的信道状态信息的预测值是否可信，进而有利于提高预测参考信号资源对应的信道状态信息的准确度。
在一些实施例中，第一报告与第一置信度相关包括：第一报告用于指示第一置信度，或者第一报告是基于第一置信度确定的。
结合第二方面，在第二方面的某些实现方式中，第一置信度指示以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
本申请实施例中，提供了标准化的置信度计算方案，从而根据标准化的置信度计算方案，确定参考信号资源对应的信道状态信息的预测值的置信度。
结合第二方面，在第二方面的某些实现方式中，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引；或者，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度；或者，第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度；其中，第三参考信号资源集合中包括至少一个参考信号资源，第二参考信号资源集合包括第三参考信号资源集合，第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
本申请实施例中，网络设备根据接收到的第一报告中指示的内容，确定是否可以根据该第一报告中指示的参考信号资源确定与终端设备进行通信的通信资源。
结合第二方面，在第二方面的某些实现方式中，在第一置信度满足预设条件时，确定第三参考信号资源集合对应的信道状态信息的预测值可信；或者，在第一置信度不满足预设条件时，确定第三参考信号资源集合对应的信道状态信息的预测值不可信。
本申请实施例中，网络设备根据第一置信度和预设条件，确定第一报告中指示的参考信号资源对应的信道状态信息的预测值是否可信，从而以期有利于提高预测参考信号资源对应的信道状态信息的准确度。
结合第二方面，在第二方面的某些实现方式中，在第一置信度不满足预设条件，或者，在第一报告未指示第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值时，配置第三参考信号资源集合。
本申请实施例中，在第三参考信号资源集合对应的信道状态信息的预测值不可信时，网络设备可以向终端设备配置该第三参考信号资源集合，从而使得终端设备可以根据该第三参考信号资源集合进行测量，进而获得第三参考信号资源集合对应的信道状态信息的测量值。
结合第二方面，在第二方面的某些实现方式中，发送第一指示信息，该第一指示信息用于指示预设条件，该预设条件用于第二参考信号资源集合对应的信道状态信息的预测值是否可信的确定。
本申请实施例中，网络设备可以向终端设备指示该预设条件，从而由终端设备根据该预设条件，确定第三参考信号资源集合对应的信道状态信息的预测值是否可信。
结合第二方面，在第二方面的某些实现方式中，预设条件包括以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。
本申请实施例中，在第一置信度指示的内容不同时，根据对应的预设阈值，确定第一置信度是否满足预设条件，进而便于确定第三参考信号资源集合对应的信道状态信息的预测值是否可信。
结合第二方面，在第二方面的某些实现方式中，发送第二指示信息，第二指示信息用于指示第一置信度确定方式，该第一置信度确定方式用于参考信号资源对应的信道状态信息的预测值的置信度的确定。
本申请实施例中，网络设备向终端设备指示置信度确定方式，从而使得终端设备根据该置信度确定方式确定第一置信度，进而增强网络设备对终端设备上报的置信度的可信度。
结合第二方面，在第二方面的某些实现方式中，第二指示信息包括第一置信度确定方式，或者第二指示信息包括第一置信度确定方式在至少一个候选置信度确定方式中的索引，至少一个候选置信度确定方式中的每个候选置信度确定方式用于参考信号资源对应的信道状态信息的预测值的置信度的确定。
本申请实施例中，网络设备可以直接向终端设备指示一种具体的置信度确定方式，或者网络设备可以向终端设备指示置信度确定方式的索引，从而使得终端设备确定该第一置信度确定方式。
结合第二方面，在第二方面的某些实现方式中，接收第三指示信息，第三指示信息用于指示第一模型为回归模型，第一模型用于第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值的确定。
本申请实施例中，终端设备可以向网络设备上报确定参考信号资源对应的信道状态信息的预测值的模型为回归模型，从而使得网络设备可以向终端设备指示置信度确定方式和/或预设条件等。
第三方面，提供了一种通信方法。该方法包括：接收第一参考信号资源集合，该第一参考信号资源集合中包括至少一个参考信号资源；根据第一参考信号资源集合，确定第一置信度，该第一置信度是基于第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值确定的，该第一参考信号资源集合为第二参考信号资源集合的子集，该第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值是基于第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值确定的；发送第一报告，该第一报告与第一置信度相关。
本申请实施例中，终端设备通过第一参考信号资源集合对应的信道状态信息的测量值和预测值，确定第一置信度，从而基于该第一置信度，向网络设备上报第一报告，以期有利于提高参考信号资源对应的信道状态信息的预测的准确度。
在一些实施例中，第一报告与第一置信度相关包括：第一报告用于指示第一置信度，或者第一报告是基于第一置信度确定的。
结合第三方面，在第三方面的某些实现方式中，第一置信度指示以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
结合第三方面，在第三方面的某些实现方式中，根据第一置信度，确定第一报告，该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引，或者该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度，或者该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度，其中第三参考信号资源集合中包括至少一个参考信号资源，第二参考信号资源集合包括第三参考信号资源集合，第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
结合第三方面，在第三方面的某些实现方式中，在第一置信度满足预设条件时，确定第一报告，该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度；或者，在第一置信度不满足预设条件时，确定第一报告，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引。
结合第三方面，在第三方面的某些实现方式中，预设条件包括以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。
结合第三方面，在第三方面的某些实现方式中，接收第一指示信息，第一指示信息用于指示预设条件。
结合第三方面，在第三方面的某些实现方式中，该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度，其中第三参考信号资源集合中包括至少一个参考信号资源，第二参考信号资源集合包括第三参考信号资源集合，第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
结合第三方面，在第三方面的某些实现方式中，接收第二指示信息，该第二指示信息用于指示第一置信度确定方式，第一置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度；根据第一置信度确定方式和第一参考信号资源集合，确定第一置信度。
结合第三方面，在第三方面的某些实现方式中，第二指示信息包括第一置信度确定方式，或者第二指示信息包括第一置信度确定方式在至少一个候选置信度确定方式中的索引，至少一个候选置信度确定方式中的每个候选置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度。
结合第三方面，在第三方面的某些实现方式中，发送第三指示信息，第三指示信息用于指示第一模型为回归模型，第一模型用于确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。
应理解，第三方面的某些实现方式所能达到的技术效果与对应的第一方面的某些实现方式所能达到的技术效果类似，此处不再赘述。
第四方面，提供了一种通信装置。该装置包括用于实现第一方面或第三方面中的任一方面或任一方面的任一种可能的实现方式的模块或单元。
第五方面，提供了一种通信装置。该装置包括用于实现第二方面或第二方面中的任一种可能的实现方式的模块或单元。
第六方面，提供了一种通信装置。该通信装置包括至少一个处理器和通信接口，所述通信接口用于所述通信装置与其他通信装置进行信息交互，当程序指令在所述至少一个处理器中执行时，使得所述通信装置执行如第一方面或第三方面中任一方面或任一方面的任一种可能的实现方式中所述的方法。
第七方面，提供了一种通信装置。该通信装置包括至少一个处理器和通信接口，所述通信接口用于所述通信装置与其他通信装置进行信息交互，当程序指令在所述至少一个处理器中执行时，使得所述通信装置执行如第二方面或第二方面中的任一种可能的实现方式中所述的方法。
第八方面，提供了一种通信系统。该通信系统包括如第四方面所述的通信装置和如第五方面所述的通信装置，或者包括如第六方面所述的通信装置和如第七方面所述的通信装置。
第九方面，提供了一种计算机可读存储介质，该计算机可读存储介质存储用于设备执行的程序代码，当所述程序代码被执行时，如上述第一方面至第三方面中的任一方面或任一方面的任意一种可能的实现方式中所述的方法被执行。
第十方面，提供了一种芯片，该芯片包括至少一个处理器，当程序指令被所述至少一个处理器中执行时，使得如上述第一方面至第三方面中的任一方面或任一方面的任意一种可能的实现方式中所述的方法被执行。
第十一方面，提供了一种计算机程序产品，该计算机程序产品包括程序指令，当该计算机程序产品在通信装置上运行时，使得通信装置执行上述第一方面至第三方面中的任一方面或任一方面的任意一种可能的实现方式中所述的方法。
附图说明
图1是根据本申请一个实施例的通信系统的示意性结构图。
图2是根据本申请另一实施例的通信系统的示意性结构图。
图3是根据本申请另一实施例的通信系统的示意性结构图。
图4是根据本申请一个实施例的通信方法的示意性流程图。
图5是根据本申请另一实施例的通信方法的示意性流程图。
图6是根据本申请另一实施例的通信方法的示意性流程图。
图7是根据本申请一个实施例的通信装置的示意性结构框图。
图8是根据本申请另一实施例的通信装置的示意性结构框图。
图9是根据本申请另一实施例的通信装置的示意性结构框图。
具体实施方式
下面将结合附图，对本申请中的技术方案进行描述。
本申请实施例将围绕包括多个设备、组件、模块等的系统来呈现各个方面、实施例或特征。应当理解和明白的是，各个系统可以包括另外的设备、组件、模块等，并且/或者可以并不包括结合附图讨论的所有设备、组件、模块等。此外，还可以使用这些方案的组合。
另外，在本申请实施例中，“示例的”、“例如”等词用于表示作例子、例证或说明。本申请实施例中被描述为“示例”的任何实施例或设计方案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言，使用示例的一词旨在以具体方式呈现概念。
本申请实施例描述的业务场景是为了更加清楚地说明本申请实施例的技术方案，并不构成对于本申请实施例提供的技术方案的限定，本领域普通技术人员可知，随着技术的演变和新业务场景的出现，本申请实施例提供的技术方案对于类似的技术问题，同样适用。
在本说明书中描述的参考“一个实施例”或“一些实施例”等意味着在本申请的一个或多个实施例中包括结合该实施例描述的特定特征、结构或特点。由此，在本说明书中的不同之处出现的语句“在一个实施例中”、“在一些实施例中”、“在其他一些实施例中”、“在另外一些实施例中”等不是必然都参考相同的实施例，而是意味着“一个或多个但不是所有的实施例”，除非是以其他方式另外特别强调。术语“包括”、“包含”、“具有”及它们的变形都意味着“包括但不限于”，除非是以其他方式另外特别强调。
本申请实施例中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：包括单独存在A，同时存在A和B，以及单独存在B的情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个。
本申请实施例中提供的技术方案可以应用于各种通信系统，例如：第五代(5th generation，5G)或新无线(new radio，NR)系统、长期演进(long term evolution，LTE)系统、LTE频分双工(frequency division duplex，FDD)系统、LTE时分双工(time division duplex，TDD)系统、无线局域网(wireless local area network，WLAN)系统、卫星通信系统、未来通信网络，如多种系统的融合系统等。本申请提供的技术方案还可以应用于设备到设备(device to device，D2D)通信，车到万物(vehicle-to-everything，V2X)通信，机器到机器(machine to machine，M2M)通信，机器类型通信(machine type communication，MTC)，以及物联网(internet of things，IoT)通信系统或者其他通信系统。
本申请实施例中的通信系统中的一个网元可以向另一个网元发送信号或从另一个网元接收信号。其中信号可以包括信息、信令或者数据等。其中，网元也可以被替换为实体、网络实体、设备、通信设备、通信模块、节点、通信节点等等，本申请实施例中以网元为例进行描述。例如，通信系统可以包括至少一个终端设备和至少一个网络设备。网络设备可以向终端设备发送下行信号，和/或终端设备可以向网络设备发送上行信号。可以理解的是，本申请实施例中的终端设备可以替换为第一网元，网络设备可以替换为第二网元，二者执行本公开中相应的通信方法。
在无线通信网络中，例如在移动通信网络中，网络支持的业务越来越多样，因此需要满足的需求越来越多样。例如，网络需要能够支持超高速率、超低时延、和/或超大连接。该特点使得网络规划、网络配置、和/或资源调度越来越复杂。此外，由于网络的功能越来越强大，例如支持的频谱越来越高、支持高阶多入多出(multiple input multiple output，MIMO)技术、支持波束赋形、和/或支持波束管理等新技术，使得网络节能成为了热门研究课题。这些新需求、新场景和新特性给网络规划、运维和高效运营带来了前所未有的挑战。为了迎接该挑战，可以将人工智能技术引入无线通信网络中，从而实现网络智能化。为了在无线网络中支持AI技术，网络中还可能引入AI节点。
图1是适用于本申请实施例的通信方法的一种通信系统的示意图。如图1所示，通信系统100可以包括至少一个网络设备，例如图1所示的网络设备110。通信系统100还可以包括至少一个终端设备，例如图1所示的终端设备120和终端设备130。网络设备110与终端设备(如终端设备120和终端设备130)可通过无线链路通信。该通信系统中的各通信设备之间，例如，网络设备110与终端设备120之间，可通过多天线技术通信。
在一些实施例中，通信系统100还包括AI网元140。AI网元140用于执行AI相关的操作，例如，构建训练数据集或训练AI模型等。
在一种可能的实现方式中，网络设备110可以将与AI模型的训练相关的数据发送给AI网元140，由AI网元140构建训练数据集，并训练AI模型。例如，与AI模型的训练相关的数据可以包括终端设备上报的数据。AI网元140可以将AI模型相关的操作的结果发送至网络设备110，并通过网络设备110转发至终端设备。例如，AI模型相关的操作的结果可以包括以下至少一项：已完成训练的AI模型、模型的评估结果或测试结果等。示例性地，已完成训练的AI模型的一部分可以部署于网络设备110上，另一部分部署于终端设备上。可替换地，已完成训练的AI模型可以部署于网络设备110上。或者，已完成训练的AI模型可以部署于终端设备上。
应理解，图1仅以AI网元140与网络设备110直接相连为例进行说明，在其他场景中，AI网元140也可以与终端设备相连。或者，AI网元140可以同时与网络设备110和终端设备相连。或者，AI网元140还可以通过第三方网元与网络设备110相连。本申请实施例对AI网元与其他网元的连接关系不做限定。
AI网元140也可以作为一个模块设置于网络设备和/或终端设备中，例如，设置于图1所示的网络设备110或终端设备中。
需要说明的是，图1仅为便于理解而示例的简化示意图，例如，通信系统中还可以包括其它设备，如还可以包括无线中继设备和/或无线回传设备等，图1中未予以画出。在实际应用中，该通信系统可以包括多个网络设备，也可以包括多个终端设备。本申请实施例对通信系统中包括的网络设备和终端设备的数量不做限定。
在本申请实施例中，终端设备也可以称为用户设备(user equipment，UE)、接入终端、用户单元、用户站、移动站、移动台、远方站、远程终端、移动设备、用户终端、终端、无线通信设备、用户代理或用户装置。
终端设备可以是一种提供语音/数据的设备，例如，具有无线连接功能的手持式设备、车载设备等。目前，一些终端的举例为：手机(mobile phone)、平板电脑、笔记本电脑、掌上电脑、移动互联网设备(mobile internet device，MID)、可穿戴设备，虚拟现实(virtual reality，VR)设备、增强现实(augmented reality，AR)设备、工业控制(industrial control)中的无线终端、无人驾驶(self driving)中的无线终端、远程手术(remote medical surgery)中的无线终端、智能电网(smart grid)中的无线终端、运输安全(transportation safety)中的无线终端、智慧城市(smart city)中的无线终端、智慧家庭(smart home)中的无线终端、蜂窝电话、无绳电话、会话启动协议(session initiation protocol，SIP)电话、无线本地环路(wireless local loop，WLL)站、个人数字助理(personal digital assistant，PDA)、具有无线通信功能的手持设备、计算设备或连接到无线调制解调器的其它处理设备、可穿戴设备，5G网络中的终端设备或者未来演进的公用陆地移动通信网络(public land mobile network，PLMN)中的终端设备等，本申请实施例对此并不限定。
作为示例而非限定，在本申请实施例中，该终端设备还可以是可穿戴设备。可穿戴设备也可以称为穿戴式智能设备，是应用穿戴式技术对日常穿戴进行智能化设计、开发出可以穿戴的设备的总称，如眼镜、手套、手表、服饰及鞋等。可穿戴设备即直接穿在身上，或是整合到用户的衣服或配件的一种便携式设备。可穿戴设备不仅仅是一种硬件设备，更是通过软件支持以及数据交互、云端交互来实现强大的功能。广义穿戴式智能设备包括功能全、尺寸大、可不依赖智能手机实现完整或者部分的功能，例如：智能手表或智能眼镜等，以及只专注于某一类应用功能，需要和其它设备如智能手机配合使用，如各类进行体征监测的智能手环、智能首饰等。
本申请实施例中，用于实现终端设备的功能的装置可以是终端设备，也可以是能够支持终端设备实现该功能的装置，例如芯片系统，该装置可以被安装在终端设备中或者和终端设备匹配使用。本申请实施例中，芯片系统可以由芯片构成，也可以包括芯片和其他分立器件。在本申请实施例中仅以用于实现终端设备的功能的装置为终端设备为例进行说明，不对本申请实施例的方案构成限定。
本申请实施例中的网络设备可以是用于与终端设备通信的设备，该网络设备也可以称为接入网设备或无线接入网设备，如网络设备可以是基站。本申请实施例中的网络设备可以是指将终端设备接入到无线网络的无线接入网(radio access network，RAN)节点(或设备)。基站可以广义的覆盖如下中的各种名称，或与如下名称进行替换，比如：节点B(NodeB)、演进型基站(evolved NodeB，eNB)、下一代基站(next generation NodeB，gNB)、中继站、接入点、传输点(transmitting and receiving point，TRP)、发射点(transmitting point，TP)、主站、辅站、多制式无线(motor slide retainer，MSR)节点、家庭基站、网络控制器、接入节点、无线节点、接入点(access point，AP)、传输节点、收发节点、基带单元(baseband unit，BBU)、射频拉远单元(remote radio unit，RRU)、有源天线单元(active antenna unit，AAU)、射频头(remote radio head，RRH)、中心单元(central unit，CU)、分布式单元(distributed unit，DU)、射电单元(radio unit,RU)、定位节点等。基站可以是宏基站、微基站、中继节点、施主节点或类似物，或其组合。基站还可以指用于设置于前述设备或装置内的通信模块、调制解调器或芯片。基站还可以是移动交换中心以及D2D、V2X、M2M通信中承担基站功能的设备、未来通信网络中的网络侧设备、未来通信网络中承担基站功能的设备等。基站可以支持相同或不同接入技术的网络。可选的，RAN节点还可以是服务器，可穿戴设备，车辆或车载设备等。例如，车辆外联(vehicle to everything，V2X)技术中的接入网设备可以为路侧单元(road side unit，RSU)。本申请的实施例对网络设备所采用的具体技术和具体设备形态不做限定。
基站可以是固定的，也可以是移动的。例如，直升机或无人机可以被配置成充当移动基站，一个或多个小区可以根据该移动基站的位置移动。在其他示例中，直升机或无人机可以被配置成用作与另一基站通信的设备。
在一些部署中，本申请实施例所提及的网络设备可以为包括CU、或DU、或包括CU和DU的设备、或者控制面CU节点(中央单元控制面(central unit-control plane，CU-CP))和用户面CU节点(中央单元用户面(central unit-user plane，CU-UP))以及DU节点的设备。例如，网络设备可以包括gNB-CU-CP、gNB-CU-UP和gNB-DU。
在一些部署中，由多个RAN节点协作协助终端实现无线接入，不同RAN节点分别实现基站的部分功能。例如，RAN节点可以是CU，DU，CU-CP，CU-UP，或者RU等。CU和DU可以是单独设置，或者也可以包括在同一个网元中，例如BBU中。RU可以包括在射频设备或者射频单元中，例如包括在RRU、AAU或RRH中。
RAN节点可以支持一种或多种类型的前传接口，不同前传接口分别对应具有不同功能的DU和RU。若DU和RU之间的前传接口为通用公共无线电接口(common public radio interface，CPRI)，DU被配置用于实现基带功能中的一项或多项，RU被配置用于实现射频功能中的一项或多项。若DU和RU之间的前传接口为另一种接口，其相对于CPRI，将下行和/或上行的部分基带功能，比如，针对下行，预编码(precoding)，数字波束赋形(beamforming，BF)，或快速傅立叶反变换(inverse fast Fourier transform，IFFT)/添加循环前缀(cyclic prefix，CP)中的一项或多项，从DU中移至RU中实现，针对上行，数字波束赋形(beamforming，BF)，或快速傅立叶变换(fast Fourier transform，FFT)/去除循环前缀(cyclic prefix，CP)中的一项或多项，从DU中移至RU中实现。在一种可能的实现方式中，该接口可以为增强型通用公共无线电接口(enhanced common public radio interface，eCPRI)。在eCPRI架构下，DU和RU之间的切分方式不同，对应不同类型(category，Cat)的eCPRI，比如eCPRI Cat A,B,C,D,E,F。
以eCPRI Cat A为例，对于下行传输，以层映射为切分，DU被配置用于实现层映射及之前的一项或多项功能(即编码、速率匹配，加扰，调制，层映射中的一项或多项)，而层映射之后的其他功能(例如，资源元素(resource element,RE)映射，数字波束赋形(beamforming，BF)，或快速傅立叶反变换(inverse fast Fourier transform，IFFT)/添加循环前缀(cyclic prefix，CP)中的一项或多项)移至RU中实现。对于上行传输，以解RE映射为切分，DU被配置用于实现解映射及之前的一项或多项功能(即解码，解速率匹配，解扰，解调，离散傅里叶逆变换(inverse discrete Fourier transform，IDFT)，信道均衡，解RE映射中的一项或多项功能)，而解映射之后的其他功能(例如，数字BF或快速傅里叶变换(fast Fourier transform，FFT)/去CP中的一项或多项)移至RU中实现。可以理解的是，关于各种类型的eCPRI所对应的DU和RU的功能描述，可以参考eCPRI协议，在此不予赘述。
一种可能的设计中，BBU中用于实现基带功能的处理单元称为基带高层(base band high，BBH)单元，RRU/AAU/RRH中用于实现基带功能的处理单元称为基带低层(base band low，BBL)单元。
在不同系统中，CU(或CU-CP和CU-UP)、DU或RU也可以有不同的名称，但是本领域的技术人员可以理解其含义。例如，在ORAN系统中，CU也可以称为O-CU(开放式CU)，DU也可以称为O-DU，CU-CP也可以称为O-CU-CP，CU-UP也可以称为O-CU-UP，RU也可以称为O-RU。本申请中的CU(或CU-CP、CU-UP)、DU和RU中的任一单元，可以是通过软件模块、硬件模块、或者软件模块与硬件模块结合来实现。
本申请实施例中，用于实现网络设备的功能的装置可以是网络设备，也可以是能够支持网络设备实现该功能的装置，例如芯片系统、硬件电路、软件模块、或硬件电路加软件模块。该装置可以被安装在网络设备中或者和网络设备匹配使用。在本申请实施例中仅以用于实现网络设备的功能的装置为网络设备为例进行说明，不对本申请实施例的方案构成限定。
网络设备和/或终端设备可以部署在陆地上，包括室内或室外、手持或车载；也可以部署在水面上；还可以部署在空中的飞机、气球和卫星上。本申请实施例中对网络设备和终端设备所处的场景不做限定。此外，终端设备和网络设备可以是硬件设备，也可以是在专用硬件上运行的软件功能，通用硬件上运行的软件功能，比如，是平台(例如，云平台)上实例化的虚拟化功能，又或者，是包括专用或通用硬件设备和软件功能的实体，本申请对于终端设备和网络设备的具体形态不作限定。
可选地，AI节点可以部署于通信系统中的如下位置中的一项或多项：接入网络设备、终端设备、或核心网设备等，或者，AI节点也可单独部署，例如，部署于上述任一项设备之外的位置，比如，过顶(over the top，OTT)系统的主机或云端服务器中。AI节点可以与通信系统中的其它设备通信，其它设备例如可以为以下中的一项或多项：网络设备，终端设备，或，核心网的网元等。
可以理解，本申请对于AI节点的数量不予限制。例如，当有多个AI节点时，多个AI节点可以基于功能进行划分，如不同的AI节点负责不同的功能。
还可以理解，AI节点可以为AI网元或AI模块。AI节点可以是各自独立的设备，也可以集成于同一设备中实现不同的功能，或者可以是硬件设备中的网络元件，也可以是在专用硬件上运行的软件功能，或者是平台(例如，云平台)上实例化的虚拟化功能，本申请对于上述AI节点的具体形态不作限定。
图2为通信系统中的一种可能的应用框架示意图。如图2所示，通信系统中网元之间通过接口(例如NG，Xn)，或空口相连。这些网元节点，例如核心网设备、接入网节点(RAN节点)、终端设备或操作维护管理(operation administration and maintenance，OAM)中的一个或多个设备中设置有一个或多个AI模块(为清楚起见，图2中仅示出1个)。接入网节点可以作为单独的RAN节点，也可以包括多个RAN节点，例如，包括CU和DU。CU和/或DU也可以设置一个或多个AI模块。可选的，CU还可以被拆分为CU-CP和CU-UP。CU-CP和/或CU-UP中设置有一个或多个AI模型。示例性地，CU和DU之间通过F1接口相连。CU和CU之间通过Xn接口相连。
AI模块用以实现相应的AI功能。不同网元中部署的AI模块可以相同或不同。AI模块的模型根据不同的参数配置，AI模块可以实现不同的功能。AI模块的模型可以是基于以下一项或多项参数配置的：结构参数(例如神经网络层数、神经网络宽度、层间的连接关系、神经元的权值、神经元的激活函数、或激活函数中的偏置中的至少一项)、输入参数(例如输入参数的类型和/或输入参数的维度)、或输出参数(例如输出参数的类型和/或输出参数的维度)。其中，激活函数中的偏置还可以称为神经网络的偏置。
一个AI模块可以具有一个或多个模型。一个模型可以推理得到一个输出，该输出包括一个参数或者多个参数。不同模型的学习过程、训练过程、或推理过程可以部署在不同的节点或设备中，或者可以部署在相同的节点或设备中。
网络设备可以为设置有一个或多个AI模块的网络设备。网络设备可以为图2所示的核心网设备、接入网节点(RAN节点)或OAM中的一个或多个设备。比如，AI模块可以为图3所示的RIC，如近实时RIC或非实时RIC等。例如，近实时RIC设置在RAN节点中(例如，CU、DU中)，而非实时RIC设置在OAM中、云服务器中、核心网设备、或者其他网络设备中。RIC可以通过从RAN节点(例如CU、CU-CP、CU-UP、DU和/或RU)获得来自多个终端设备的子集，重组为训练数据集#2，并基于训练数据集#2进行训练。示例性地，近实时RIC，非实时RIC也可以分别作为一个网元单独设置，网络设备可以为近实时RIC或非实时RIC。
图3为通信系统中的一种可能的应用框架示意图。如图3所示，通信系统中包括RAN智能控制器(RAN intelligent controller，RIC)。例如，RIC可以是图2中示出的AI模块，用于实现AI相关的功能。RIC包括近实时RIC(near-real time RIC，near-RT RIC)和非实时RIC(non-real time RIC，Non-RT RIC)。其中，非实时RIC主要处理非实时的信息，比如，对时延不敏感的数据，该数据的时延可以为秒级。实时RIC主要处理近实时的信息，比如，对时延相对敏感的数据，该数据的时延为数十毫秒级。
近实时RIC用于进行模型训练和推理。例如，用于训练AI模型，利用该AI模型进行推理。近实时RIC可以从RAN节点(例如CU、CU-CP、CU-UP、DU和/或RU)和/或终端获得网络侧和/或终端侧的信息。该信息可以作为训练数据或者推理数据。可选的，近实时RIC可以将推理结果递交给RAN节点和/或终端。可选的，CU和DU之间，和/或DU和RU之间可以交互推理结果。例如近实时RIC将推理结果递交给DU，DU将其发给RU。
非实时RIC也用于进行模型训练和推理。例如，用于训练AI模型，利用该模型进行推理。非实时RIC可以从RAN节点(例如CU、CU-CP、CU-UP、DU和/或RU)和/或终端获得网络侧和/或终端侧的信息。该信息可以作为训练数据或者推理数据，推理结果可以被递交给RAN节点和/或终端。可选的，CU和DU之间，和/或DU和RU之间可以交互推理结果，例如非实时RIC将推理结果递交给DU，由DU将其发给RU。
近实时RIC，非实时RIC也可以分别作为一个网元单独设置。可选的，近实时RIC、非实时RIC也可以作为其他设备的一部分，例如，近实时RIC设置在RAN节点中(例如，CU，DU中)，而非实时RIC设置在OAM中、云服务器中、核心网设备、或者其他网络设备中。
目前，AI被引入无线通信网络中，已广泛应用于空口技术的诸多应用场景，例如：信道状态信息(channel state information，CSI)反馈场景、CSI预测场景、波束管理场景、定位场景等。示例性地，在下行波束管理场景中应用AI时，终端设备或者网络设备利用AI模型可以高效准确的识别出最好的下行波束。该AI模型可以仅位于终端设备中，也可以仅位于网络设备中。具体的，基于AI的波束管理包含两个典型用例：空域下行波束预测和时域下行波束预测。终端设备根据参考信号资源进行测量，上报参考信号资源的索引和/或信道状态信息，以达到波束管理的目的。其中，每个参考信号资源用于承载一个参考信号，该参考信号包括SSB、CSI-RS等，该参考信号资源例如为波束。传统的下行波束测量需要针对参考信号资源集合中的所有参考信号资源进行扫描得到最优的参考信号资源(例如信道状态信息的测量值最大的参考信号资源)。对于使用大规模天线的系统，该参考信号资源集合可能很大(如：1024个)，传统的扫描过程需要很大的测量开销。引入AI后，可以只测量该参考信号资源集合(例如set A)中的部分参考信号资源(例如参考信号资源集合set B)，根据该部分参考信号资源(set B)对应的信道状态信息的测量值预测参考信号资源集合(set A)中前k(top-k)个最优的参考信号资源，因此可以大大减少测量开销。其中，k为正整数。在时域波束预测中，AI波束预测模型可以利用历史时刻的参考信号资源对应的信道状态信息的测量值预测未来时刻的信道状态信息的预测值，从而提高信道变化很快的场景下的波束管理鲁棒性，避免频繁的信号测量和切换。波束预测模型可以位于终端设备或网络设备中。
在基于AI的波束管理场景中，终端设备需要根据参考信号资源集合中的部分参考信号资源对应的信道状态信息的测量值，预测参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值，从而向网络设备上报对应的信道状态信息的预测值较高的一个或多个参考信号资源。因此，提高预测参考信号资源对应的信道状态信息的准确度在波束管理场景中非常重要。
图4是本申请实施例提供的通信方法的示意性流程图。图4中的方法应用于通信系统，例如应用于图1、图2或图3所示的通信系统。图4中的网络设备例如为图1中的网络设备110、图2中的核心网设备、接入网节点或图3中的接入网节点。图4中的终端设备例如为图1、图2或图3中的终端设备。图4中的方法包括如下步骤。
S410，获取第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值。
终端设备根据第一参考信号资源集合中的每个参考信号资源进行测量，获得第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值。该第一参考信号资源集合中包括至少一个参考信号资源。
在一些实施例中，该信道状态信息包括RSRP或SINR等。
可选地，在步骤S410前，网络设备执行步骤S401。
S401，给终端设备配置第一参考信号资源集合。对应地，终端设备确定该第一参考信号资源集合。
在一些实施例中，该第一参考信号资源集合中的每个参考信号资源对应于一个参考信号。该参考信号包括SSB和/或CSI-RS。该参考信号资源例如为波束。换句话说，本申请实施例中的参考信号资源可以替换为波束。
在一些实施例中，网络设备向终端设备发送第四指示信息。对应地，终端设备接收该第四指示信息。该第四指示信息包括该至少一个参考信号。或者，该第四指示信息包括该至少一个参考信号在第一参考信号集合中的索引。该第一参考信号集合包括至少一个参考信号。
S420，根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。
终端设备根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，预测获得第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。其中，第二参考信号资源集合中包括多个参考信号资源，且第一参考信号资源集合为第二参考信号资源集合的子集。
应理解，该第二参考信号资源集合可能为虚拟集合。换句话说，网络设备可能并未向终端设备配置该第二参考信号资源集合。
可选地，终端设备将第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值作为第一模型的输入，从而获得第一模型的输出，即第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。换句话说，终端设备根据第一模型、第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。该第一模型用于确定参考信号资源对应的信道状态信息的预测值。该第一模型为AI模型。
在一些实施例中，该第一模型为回归模型。
在一些实施例中，在步骤S410前，终端设备向网络设备发送第三指示信息，该第三指示信息用于指示该第一模型为回归模型。
S430，根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。
终端设备根据S410中测量获得的第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值、以及S420中预测获得的第一参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值，确定第一置信度。该第一置信度用于确定该第二参考信号资源集合对应的预测值是否可信。
可选地，第一置信度指示以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
在一些实施例中，“包括”为“指示”的其中一种实现方式。例如，“A指示B”的一种可能的实现方式为：A包括B。
可选地，终端设备根据第一置信度确定方式、第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定该第一置信度。该第一置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度。
例如，在第一置信度确定方式用于指示第一置信度包括第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值时，终端设备根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值，即第一置信度。
在一些实施例中，第一置信度确定方式为预配置的。或者，第一置信度确定方式为网络设备指示的。
在一些实施例中，在步骤S430前，网络设备向终端设备发送第二指示信息。对应地，终端设备接收来自于网络设备的第二指示信息。该第二指示信息用于指示第一置信度确定方式。
示例性地，第二指示信息包括第一置信度确定方式。或者，第二指示信息包括第一置信度确定方式在至少一个候选置信度确定方式中的索引。该至少一个候选置信度确定方式中的每个候选置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度。
示例性地，该至少一个候选置信度确定方式为预配置的。或者，该至少一个候选置信度确定方式为网络设备指示的。
示例性地，在步骤S430前，网络设备向终端设备发送第五指示信息。对应地，终端设备接收来自于网络设备的第五指示信息。该第五指示信息用于指示至少一个候选置信度确定方式。
可选地，终端设备确定第一置信度之后，执行步骤S402。
S402，向网络设备发送第一报告。对应地，网络设备接收该第一报告。该第一报告与第一置信度相关。示例性地，该第一报告用于指示第一置信度。或者，该第一报告是根据第一置信度确定的。
在一些实施例中，终端设备在确定第一置信度之后，根据第一置信度，确定第一报告，并向网络设备发送第一报告，如图5中的方法所示。
在一些实施例中，终端设备确定第一置信度之后，直接向网络设备发送第一报告，如图6中的方法所示。
本申请实施例中，终端设备通过第一参考信号资源集合对应的信道状态信息的测量值和预测值，确定第一置信度，从而使得网络设备和/或终端设备可以根据该第一置信度，确定该参考信号资源对应的信道状态信息的预测值是否可信，进而有利于提高预测参考信号资源对应的信道状态信息的准确度。
图5是本申请实施例提供的通信方法的示意性流程图。图5中的方法应用于通信系统，例如应用于图1、图2或图3所示的通信系统。图5中的网络设备例如为图1中的网络设备110、图2中的核心网设备、接入网节点或图3中的接入网节点。图5中的终端设备例如为图1、图2或图3中的终端设备。图5中的方法包括如下步骤。
S510，给终端设备配置第一参考信号资源集合。对应地，终端设备确定该第一参考信号资源集合。步骤S510与步骤S401类似，此处不再赘述。
可选地，在步骤S520之前，终端设备执行步骤S501。
S501，向网络设备发送第三指示信息。对应地，网络设备接收第三指示信息。该第三指示信息用于指示第一模型为回归模型。该第一模型用于确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。该第一模型为AI模型。该第二参考信号资源集合参见步骤S420中的描述。
本申请实施例对执行步骤S510和S501的先后顺序并不限定。例如可以先执行S510，再执行S501。或者，可以先执行S501，再执行S510。
S520，确定第一置信度。具体实现方式参见图4中的S410-S430，此处不再赘述。
S530，根据第一置信度，确定第一报告。
可选地，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引。或者，第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度。或者，第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值和第一置信度。其中，第三参考信号资源集合中包括至少一个参考信号资源。第二参考信号资源集合包括第三参考信号资源集合，即第三参考信号资源集合为第二参考信号资源集合的子集。第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
应理解，该第三参考信号资源集合可能为虚拟集合。换句话说，网络设备可能并未向终端设备配置该第三参考信号资源集合。
可选地，终端设备根据预设条件和第一置信度，确定第一报告。示例性地，在第一置信度满足预设条件时，确定第一报告。该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度。在第一置信度不满足预设条件时，确定第一报告。该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引，或者该第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度。
在一些实施例中，第一置信度满足预设条件表示：该第三参考信号资源集合对应的信道状态信息的预测值的可信度较高，或者该第三参考信号资源集合对应的信道状态信息的预测值是可信的。对应地，第一置信度不满足预设条件表示：该第三参考信号资源集合对应的信道状态信息的预测值的可信度较低，或者该第三参考信号资源集合对应的信道状态信息的预测值是不可信的。
可选地，该预设条件包括以下至少一项：第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。本申请实施例对第一预设阈值、第二预设阈值、第三预设阈值、第四预设阈值、第五预设阈值的具体取值并不限定。该第一预设阈值、第二预设阈值、第三预设阈值、第四预设阈值、第五预设阈值中的至少两个预设阈值相同或不同。
示例性地，在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值或差值的分布时，若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，则表示第一置信度满足预设条件。该差值的分布包括以下至少一项：差值的均值、差值的方差、或差值的标准差。若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布大于第一预设阈值，则表示第一置信度不满足预设条件。
示例性地，在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值时，若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值，则表示第一置信度满足预设条件。若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值大于第二预设阈值，则表示第一置信度不满足预设条件。
示例性地，在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值时，若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值，则表示第一置信度满足预设条件。若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值大于第三预设阈值，则表示第一置信度不满足预设条件。
示例性地，在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值时，若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值，则表示第一置信度满足预设条件。若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值大于第四预设阈值，则表示第一置信度不满足预设条件。
示例性地，在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值时，或者在第一置信度指示第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y时，若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值，则表示第一置信度满足预设条件。若第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值大于第五预设阈值，则表示第一置信度不满足预设条件。
示例性地，测量值和预测值的差值的分布小于或等于第一预设阈值包括：测量值和预测值的差值的绝对值的分布小于或等于第一预设阈值。例如，测量值和预测值的差值的绝对值的均值小于或等于第一预设阈值。测量值和预测值的差值的绝对值的方差小于或等于第一预设阈值。测量值和预测值的差值的绝对值的标准差小于或等于第一预设阈值。类似地，测量值的均值和预测值的均值的差值小于或等于第二预设阈值包括：测量值的均值和预测值的均值的差值的绝对值小于或等于第二预设阈值。测量值的方差和预测值的方差的差值小于或等于第三预设阈值包括：测量值的方差和预测值的方差的差值的绝对值小于或等于第三预设阈值。测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值包括：测量值的标准差和预测值的标准差的差值的绝对值小于或等于第四预设阈值。最大值x和最小值y的差值小于或等于第五预设阈值包括：最大值x和最小值y的差值的绝对值小于或等于第五预设阈值。
在一些实施例中，该预设条件为预配置的。或者，该预设条件为网络设备指示的。
示例性地，在步骤S530前，网络设备向终端设备发送第一指示信息。对应地，终端设备接收来自于网络设备的第一指示信息。该第一指示信息用于指示该预设条件。
S540，向网络设备发送第一报告。对应地，网络设备接收来自于终端设备的第一报告。
在第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值和第一置信度时，或者，在第一报告用于指示第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值时，网络设备确定第三参考信号资源集合对应的信道状态信息的预测值可信。在第一报告未指示第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值时，或者，在第一报告仅指示第三参考信号资源集合中每个参考信号资源的索引时，网络设备确定第三参考信号资源集合对应的信道状态信息的预测值不可信。
可选地，在第一报告未指示第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值时，或者在第一报告仅指示第三参考信号资源集合中每个参考信号资源的索引时，或者，在第一报告仅指示第三参考信号资源集合中每个参考信号资源的索引和第一置信度时，第一网络设备执行步骤S550。
S550，给终端设备配置第三参考信号资源集合。对应地，终端设备接收来自于网络设备的第三参考信号资源集合。
在一些实施例中，该第三参考信号资源集合中的每个参考信号资源对应于一个参考信号。该参考信号包括SSB和/或CSI-RS。该参考信号资源例如为波束。换句话说，本申请实施例中的参考信号资源可以替换为波束。
在一些实施例中，终端设备接收该第三参考信号资源集合后，根据第三参考信号资源集合进行测量，确定第三参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值。
可选地，终端设备确定第三参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值之后，执行步骤S560。
S560，向网络设备发送第二报告。对应地，网络设备接收来自于终端设备的第二报告。该第二报告用于指示第三参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值。
本申请实施例中，终端设备确定第一置信度之后，还可以根据第一置信度确定需要上报的第一报告，从而使得网络设备在接收到第一报告后，根据第一报告中包括的内容确定参考信号资源对应的信道状态信息的预测值是否可信，进而有利于提高预测参考信号资源对应的信道状态信息的准确度。
图6是本申请实施例提供的通信方法的示意性流程图。图6中的方法应用于通信系统，例如应用于图1、图2或图3所示的通信系统。图6中的网络设备例如为图1中的网络设备110、图2中的核心网设备、接入网节点或图3中的接入网节点。图6中的终端设备例如为图1、图2或图3中的终端设备。图6中的方法包括如下步骤。
S610，给终端设备配置第一参考信号资源集合。对应地，终端设备确定该第一参考信号资源集合。步骤S610与步骤S401类似，此处不再赘述。
可选地，在步骤S610之前，终端设备执行步骤S601。
S601，向网络设备发送第三指示信息。对应地，网络设备接收第三指示信息。步骤S601与步骤S501类似，此处不再赘述。
本申请实施例对执行步骤S610和S601的先后顺序并不限定。例如可以先执行S610，再执行S601。或者，可以先执行S601，再执行S610。
S620，确定第一置信度。具体实现方式参见图4中的S410-S430，此处不再赘述。
S630，向网络设备发送第一报告。对应地，网络设备接收来自于终端设备的第一报告。
该第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值和第一置信度。其中，第三参考信号资源集合中包括至少一个参考信号资源。第二参考信号资源集合包括第三参考信号资源集合，即第三参考信号资源集合为第二参考信号资源集合的子集。第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于第二参考信号资源集合中除第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
应理解，该第三参考信号资源集合可能为虚拟集合。换句话说，网络设备可能并未向终端设备配置该第三参考信号资源集合。
S640，根据第一置信度，确定第三参考信号资源集合对应的信道状态信息的预测值是否可信。
网络设备根据第一报告确定第一置信度之后，根据第一置信度和预设条件，确定第三参考信号资源集合对应的信道状态信息的预测值是否可信。示例性地，在第一置信度满足预设条件时，确定第三参考信号资源集合对应的信道状态信息的预测值可信。在第一置信度不满足预设条件时，确定第三参考信号资源集合对应的信道状态信息的预测值不可信。
可选地，该预设条件参见步骤S530中的描述。该第一置信度满足预设条件或不满足预设条件的相关描述参见步骤S530中的描述。
在一些实施例中，该预设条件为预配置的。
可选地，在第一置信度不满足预设条件时，网络设备执行步骤S650。
S650，给终端设备配置第三参考信号资源集合。对应地，终端设备接收来自于网络设备的第三参考信号资源集合。步骤S650的实现方式与步骤S550类似，此处不再赘述。
在一些实施例中，终端设备接收该第三参考信号资源集合后，根据第三参考信号资源集合进行测量，确定第三参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值。
可选地，终端设备确定第三参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值之后，执行步骤S660。
S660，向网络设备发送第二报告。对应地，网络设备接收来自于终端设备的第二报告。步骤S660的实现方式与步骤S560类似，此处不再赘述。
本申请实施例中，终端设备确定第一置信度之后，向网络设备发送该第一置信度，使得网络设备根据该第一置信度确定终端设备上报的参考信号资源对应的信道状态信息的预测值是否可信，从而有利于提高预测参考信号资源对应的信道状态信息的准确度。
图7至图9为本申请实施例提供的可能的通信装置的结构示意图。这些通信装置可以用于实现上述方法实施例中终端设备或网络设备的功能，因此也能实现上述方法实施例所具备的有益效果。在本申请的实施例中，该通信装置可以是如图1所示的网络设备110，也可以是如图1所示的终端设备120或终端设备130。或者，该通信装置可以是图2至图6中的终端设备或网络设备。
如图7所示，通信装置700包括获取单元710和处理单元720。通信装置700用于实现上述图4至图6中所示的方法实施例中终端设备的功能。
当通信装置700用于实现图4所示的方法实施例中终端设备的功能时：获取单元710用于获取第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，该获取单元710用于执行图4中的步骤S410。处理单元720用于根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。该处理单元720还用于根据第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。该处理单元720用于执行图4中的步骤S420、S430。该第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值、第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度与图4中的第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值、第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、第一置信度类似，此处不再赘述。
在一些实施例中，通信装置700还包括收发单元。当通信装置700用于实现图4所示的方法实施例中终端设备的功能时：收发单元用于接收第一参考信号资源集合，还用于向网络设备发送第一报告。该收发单元用于执行图4中的步骤S402。该第一参考信号资源集合、第一报告与图4中的第一参考信号资源集合、第一报告类似，此处不再赘述。
当通信装置700用于实现图5所示的方法实施例中终端设备的功能时：处理单元720用于确定第一置信度，还用于根据第一置信度确定第一报告。该处理单元720用于执行图5中的步骤S520、S530。该第一置信度、第一报告与图5中的第一置信度、第一报告类似，此处不再赘述。
在一些实施例中，当通信装置700用于实现图5所示的方法实施例中终端设备的功能时：收发单元用于向网络设备发送第三指示信息。收发单元还用于接收第一参考信号资源集合。收发单元还用于向网络设备发送第一报告。收发单元还用于接收第三参考信号资源集合。收发单元还用于向网络设备发送第二报告。收发单元用于执行图5中的步骤S501、S540、S560。该第三指示信息、第一参考信号资源集合、第三参考信号资源集合、第二报告与图5中的第三指示信息、第一参考信号资源集合、第三参考信号资源集合、第二报告类似，此处不再赘述。
当通信装置700用于实现图6所示的方法实施例中终端设备的功能时：处理单元720用于确定第一置信度。该处理单元720用于执行图6中的步骤S620。该第一置信度与图6中的第一置信度类似，此处不再赘述。
在一些实施例中，当通信装置700用于实现图6所示的方法实施例中终端设备的功能时：收发单元用于向网络设备发送第三指示信息。收发单元还用于接收第一参考信号资源集合。收发单元还用于向网络设备发送第一报告。收发单元还用于接收第三参考信号资源集合。收发单元还用于向网络设备发送第二报告。收发单元用于执行图6中的步骤S601、S630、S660。该第三指示信息、第一参考信号资源集合、第一报告、第三参考信号资源集合、第二报告与图6中的第三指示信息、第一参考信号资源集合、第一报告、第三参考信号资源集合、第二报告类似，此处不再赘述。
有关上述获取单元710和处理单元720更详细的描述可以参考图4至图6所示的方法实施例中相关描述。
如图8所示，通信装置800包括处理单元810和收发单元820。通信装置800用于实现上述图4至图6中所示的方法实施例中网络设备的功能。
当通信装置800用于实现图4所示的方法实施例中网络设备的功能时：收发单元820用于给终端设备配置第一参考信号资源集合，还用于接收第一报告。收发单元820用于执行图4中的步骤S401。该第一参考信号资源集合、第一报告与图4中的第一参考信号资源集合、第一报告类似，此处不再赘述。
当通信装置800用于实现图5所示的方法实施例中网络设备的功能时：收发单元820用于接收第三指示信息。收发单元820还用于给终端设备配置第一参考信号资源集合。收发单元820还用于接收第一报告。收发单元820还用于给终端设备配置第三参考信号资源集合。收发单元820还用于接收第二报告。收发单元820用于执行图5中的步骤S510、S550。该第三指示信息、第一参考信号资源集合、第三参考信号资源集合、第二报告与图5中的第三指示信息、第一参考信号资源集合、第三参考信号资源集合、第二报告类似，此处不再赘述。
当通信装置800用于实现图6所示的方法实施例中网络设备的功能时：收发单元820用于接收第三指示信息。收发单元820还用于给终端设备配置第一参考信号资源集合。收发单元820还用于接收第一报告。收发单元820还用于给终端设备配置第三参考信号资源集合。收发单元820还用于接收第二报告。收发单元820用于执行图6中的步骤S610、S650。该第三指示信息、第一参考信号资源集合、第一报告、第三参考信号资源集合、第二报告与图6中的第三指示信息、第一参考信号资源集合、第一报告、第三参考信号资源集合、第二报告类似，此处不再赘述。
当通信装置800用于实现图6所示的方法实施例中网络设备的功能时：处理单元810用于根据第一置信度，确定第三参考信号资源集合对应的信道状态信息的预测值是否可信。处理单元810用于执行图6中的步骤S640。该第一置信度与图6中的第一置信度类似，此处不再赘述。
有关上述处理单元810和收发单元820更详细的描述可以参考图4至图6所示的方法实施例中相关描述。
如图9所示，通信装置900包括处理电路910。进一步的，该通信装置900还可以包括处理电路910和通信电路920。处理电路910和通信电路920之间相互耦合。其中，处理电路可以为一个或多个处理器，或者，为一个或多个处理器中用于控制或处理功能的全部或部分电路。可以理解的是，通信装置900为网络设备或终端设备的情况下，通信电路920可以为收发电路，收发器或输入输出接口。通信装置900为用于网络设备或终端设备的芯片情况下，通信电路920可以为输入输出接口或输入输出电路。可选的，通信装置900还可以包括存储器930，用于存储处理器910执行的指令或存储处理器910运行指令所需要的输入数据或存储处理器910运行指令后产生的数据。
当通信装置900用于实现图4至图6所示的方法时，处理电路910用于实现上述获取单元、处理单元的功能，通信电路920用于实现上述收发单元的功能。
当上述通信装置为应用于终端的芯片时，该终端芯片实现上述方法实施例中终端的功能。该终端芯片从终端中的其它模块(如射频模块或天线)接收信息，该信息是基站发送给终端的；或者，该终端芯片向终端中的其它模块(如射频模块或天线)发送信息，该信息是终端发送给基站的。
当上述通信装置为应用于基站(或者说网络设备)的模块时，该基站模块实现上述方法实施例中基站的功能。该基站模块从基站中的其它模块(如射频模块或天线)接收信息，该信息是终端发送给基站的；或者，该基站模块向基站中的其它模块(如射频模块或天线)发送信息，该信息是基站发送给终端的。这里的基站模块可以是基站的基带芯片，也可以是DU或其他模块，这里的DU可以是开放式无线接入网(open radio access network，O-RAN)架构下的DU。
可以理解的是，本申请的实施例中的处理器可以是中央处理单元(central processing unit，CPU)，还可以是其它通用处理器(general-purpose processor)、数字信号处理器(digital signal processor，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现场可编程门阵列(field programmable gate array，FPGA)、图形处理器(graphics processing unit)、神经网络处理器(neural processing unit)或者其它可编程逻辑器件、晶体管逻辑器件，硬件部件或者其任意组合。通用处理器可以是微处理器，也可以是任何常规的处理器。
本申请的实施例中的方法步骤可以在硬件中实现，也可以在可由处理器执行的软件指令中实现。软件指令可以由相应的软件模块组成，软件模块可以被存放于随机存取存储器、闪存、只读存储器、可编程只读存储器、可擦除可编程只读存储器、电可擦除可编程只读存储器、寄存器、硬盘、移动硬盘、只读光盘存储器(compact disc read-only memory，CD-ROM)或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息。存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外，该ASIC可以位于基站或终端中。处理器和存储介质也可以作为分立组件存在于基站或终端中。
本申请实施例还提供一种通信系统，该通信系统包括本申请实施例中所述的网络设备和终端设备。
本申请实施例还提供一种计算机可读存储介质，计算机可读存储介质可以是计算设备能够存储的任何可用介质或者是包含一个或多个可用介质的数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，数字化视频光盘(digital video disc，DVD))、或者半导体介质(例如固态硬盘)等。该计算机可读存储介质包括指令或程序代码，当计算机可读存储介质中的指令或程序代码在计算设备上被执行时，使得计算设备执行上述所提供的方法。
本申请实施例还提供一种计算机程序产品，所述计算机程序产品可以是包含指令的，能够运行在计算设备上或被储存在任何可用介质中的软件或程序产品。当该指令在计算设备上运行时，使得计算设备执行上述所提供的方法，或者使得该计算设备实现上述提供的装置的功能。
本申请实施例还提供一种芯片，该芯片包括至少一个处理器，当程序指令被该至少一个处理器执行时，使得该至少一个处理器执行上述所提供的方法。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (26)

  1. 一种通信方法，其特征在于，包括：
    获取第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，所述第一参考信号资源集合中包括至少一个参考信号资源；
    根据所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值，确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值，所述第二参考信号资源集合包括多个参考信号资源，所述第一参考信号资源集合为所述第二参考信号资源集合的子集；
    根据所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度。
  2. 根据权利要求1所述的方法，其特征在于，所述第一置信度指示以下至少一项：
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，所述差值的分布包括以下至少一项：所述差值的均值、所述差值的方差、或所述差值的标准差；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
  3. 根据权利要求1或2所述的方法，其特征在于，所述方法还包括：
    根据所述第一置信度，确定第一报告，所述第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引，或者所述第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和所述第一置信度，或者所述第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、所述第一置信度，其中所述第三参考信号资源集合中包括至少一个参考信号资源，所述第二参考信号资源集合包括所述第三参考信号资源集合，所述第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于所述第二参考信号资源集合中除所述第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值；
    发送所述第一报告。
  4. 根据权利要求3所述的方法，其特征在于，所述根据所述第一置信度，确定第一报告，包括：
    在所述第一置信度满足预设条件时，确定所述第一报告，所述第一报告用于指示：所述第三参考信号资源集合中每个参考信号资源的索引、所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、所述第一置信度；或者，
    在所述第一置信度不满足预设条件时，确定所述第一报告，所述第一报告用于指示所述第三参考信号资源集合中每个参考信号资源的索引。
  5. 根据权利要求4所述的方法，其特征在于，所述预设条件包括以下至少一项：
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，所述差值的分布包括以下至少一项：所述差值的均值、所述差值的方差、或所述差值的标准差；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。
  6. 根据权利要求4或5所述的方法，其特征在于，所述方法还包括：
    接收第一指示信息，所述第一指示信息用于指示所述预设条件。
  7. 根据权利要求1或2所述的方法，其特征在于，所述方法还包括：
    发送第一报告，所述第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、所述第一置信度，其中所述第三参考信号资源集合中包括至少一个参考信号资源，所述第二参考信号资源集合包括所述第三参考信号资源集合，所述第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于所述第二参考信号资源集合中除所述第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
  8. 根据权利要求1至7中任一项所述的方法，其特征在于，所述根据所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定第一置信度，包括：
    接收第二指示信息，所述第二指示信息用于指示第一置信度确定方式，所述第一置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度；
    根据所述第一置信度确定方式、所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值，确定所述第一置信度。
  9. 根据权利要求8所述的方法，其特征在于，所述第二指示信息包括所述第一置信度确定方式，或者所述第二指示信息包括所述第一置信度确定方式在至少一个候选置信度确定方式中的索引，所述至少一个候选置信度确定方式中的每个候选置信度确定方式用于确定参考信号资源对应的信道状态信息的预测值的置信度。
  10. 根据权利要求1至9中任一项所述的方法，其特征在于，所述方法还包括：
    发送第三指示信息，所述第三指示信息用于指示第一模型为回归模型，所述第一模型用于确定第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值。
  11. 一种通信方法，其特征在于，包括：
    配置第一参考信号资源集合，所述第一参考信号资源集合中包括至少一个参考信号资源；
    接收第一报告，所述第一报告与第一置信度相关，其中所述第一置信度是基于所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的，所述第一参考信号资源集合为第二参考信号资源集合的子集，所述第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值是基于所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的。
  12. 根据权利要求11所述的方法，其特征在于，所述第一置信度指示以下至少一项：
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布，所述差值的分布包括以下至少一项：所述差值的均值、所述差值的方差、所述差值的标准差；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y。
  13. 根据权利要求11或12所述的方法，其特征在于，所述第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引；或者，
    所述第一报告用于指示第三参考信号资源集合中每个参考信号资源的索引和所述第一置信度；或者，
    所述第一报告用于指示：第三参考信号资源集合中每个参考信号资源的索引、所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值、所述第一置信度；
    其中，所述第三参考信号资源集合中包括至少一个参考信号资源，所述第二参考信号资源集合包括所述第三参考信号资源集合，所述第三参考信号资源集合中的参考信号资源对应的信道状态信息的预测值大于或等于所述第二参考信号资源集合中除所述第三参考信号资源集合外的参考信号资源对应的信道状态信息的预测值。
  14. 根据权利要求13所述的方法，其特征在于，所述方法还包括：
    在所述第一置信度满足预设条件时，确定所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值可信；或者，
    在所述第一置信度不满足预设条件时，确定所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值不可信。
  15. 根据权利要求13或14所述的方法，其特征在于，所述方法还包括：
    在所述第一置信度不满足预设条件，或者，在所述第一报告未指示所述第三参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值时，配置所述第三参考信号资源集合。
  16. 根据权利要求11至13中任一项所述的方法，其特征在于，所述方法还包括：
    发送第一指示信息，所述第一指示信息用于指示预设条件，所述预设条件用于所述第二参考信号资源集合对应的信道状态信息的预测值是否可信的确定。
  17. 根据权利要求14至16中任一项所述的方法，其特征在于，所述预设条件包括以下至少一项：
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值的分布小于或等于第一预设阈值，所述差值的分布包括以下至少一项：所述差值的均值、所述差值的方差、或所述差值的标准差；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的均值和预测值的均值的差值小于或等于第二预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的方差和预测值的方差的差值小于或等于第三预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值的标准差和预测值的标准差的差值小于或等于第四预设阈值；或者，
    所述第一参考信号资源集合中每个参考信号资源对应的信道状态信息的测量值和预测值的差值中的最大值x和最小值y的差值小于或等于第五预设阈值。
  18. 根据权利要求11至13中任一项所述的方法，其特征在于，所述方法还包括：
    发送第二指示信息，所述第二指示信息用于指示第一置信度确定方式，所述第一置信度确定方式用于参考信号资源对应的信道状态信息的预测值的置信度的确定。
  19. 根据权利要求18所述的方法，其特征在于，所述第二指示信息包括所述第一置信度确定方式，或者所述第二指示信息包括所述第一置信度确定方式在至少一个候选置信度确定方式中的索引，所述至少一个候选置信度确定方式中的每个候选置信度确定方式用于参考信号资源对应的信道状态信息的预测值的置信度的确定。
  20. 根据权利要求11至19中任一项所述的方法，其特征在于，所述方法还包括：
    接收第三指示信息，所述第三指示信息用于指示第一模型为回归模型，所述第一模型用于所述第二参考信号资源集合中每个参考信号资源对应的信道状态信息的预测值的确定。
  21. 一种通信装置，其特征在于，包括用于执行如权利要求1至20中任一项所述的方法的模块。
  22. 一种通信装置，其特征在于，所述通信装置包括：至少一个处理器和通信接口，所述通信接口用于所述通信装置与其他通信装置进行信息交互，当程序指令在所述至少一个处理器中执行时，使得所述通信装置执行如权利要求1至20中任一项所述的方法。
  23. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质存储用于设备执行的程序代码，当所述程序代码被执行时，如权利要求1至20中任一项所述的方法被执行。
  24. 一种芯片，其特征在于，所述芯片包括至少一个处理器，当程序指令被所述至少一个处理器中执行时，使得如权利要求1至20中任一项所述的方法被执行。
  25. 一种计算机程序产品，其特征在于，包括程序指令，当所述计算机程序产品在计算机上运行时，如权利要求1至20中任一项所述的方法被执行。
  26. 一种通信系统，其特征在于，包括用于实现如权利要求1至10中任一项所述方法的装置和用于实现如权利要求11至20中任一项所述方法的装置。
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