WO2025140232A1 - Data reporting method and apparatus, and device and medium - Google Patents

Abstract

The present application belongs to the technical field of communications. Disclosed are a data reporting method and apparatus, and a device and a medium. The data reporting method in the embodiments of the present application comprises: a first device sending target information to a second device, wherein the target information comprises first information of at least one data sample group, and the first information of each data sample group comprises: data measurement information, first annotation information and second annotation information; each data sample in the data sample group is associated with one piece of data measurement information, each data sample is associated with one piece of first annotation information, and each piece of first annotation information is annotation information of the associated piece of data measurement information; and the second annotation information is annotation information shared by data measurement information associated with data samples in the same data sample group.

Description

Data reporting method, device, equipment and medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 202311827117.2 filed in China on December 27, 2023, the entire contents of which are incorporated herein by reference.

Technical Field

The present application belongs to the field of communication technology, and specifically relates to a data reporting method, device, equipment and medium.

Background Art

In related technologies, the process of reporting labeled data, such as the data collection and reporting process of artificial intelligence (AI), usually labels and reports the data one by one. However, since some labeled content may be the same between different data samples, the current data reporting has a large problem of information redundancy.

Summary of the invention

The embodiments of the present application provide a data reporting method, apparatus, device and medium, which can solve the problem of large information redundancy in current data reporting.

In a first aspect, a data reporting method is provided, the method comprising: a first device sending target information to a second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In a second aspect, a data reporting method is provided, the method comprising: a second device receiving target information sent by a first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In a third aspect, a data reporting device is provided, which is applied to a first device, including:

A first sending module, used to send target information to the second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In a fourth aspect, a data reporting device is provided, including:

A second receiving module, used to receive target information sent by the first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In a fifth aspect, a communication device is provided, which terminal includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented, or when the program or instruction is executed by the processor, the steps of the method described in the second aspect are implemented.

In a sixth aspect, a first device is provided, comprising a communication interface, wherein the communication interface is used to send target information to a second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In a seventh aspect, a second device is provided, comprising a communication interface, wherein the communication interface is used to receive target information sent by the first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In an eighth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method described in the second aspect are implemented.

In a ninth aspect, a wireless communication system is provided, comprising: a first device and a second device, wherein the first device can be used to execute the steps of the method described in the first aspect, and the second device can be used to execute the steps of the method described in the second aspect.

In the tenth aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect, or to implement the method described in the second aspect.

In the eleventh aspect, a computer program/program product is provided, wherein the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement the steps of the data reporting method as described in the first aspect, or the computer program/program product is executed by at least one processor to implement the steps of the data reporting method as described in the second aspect.

The present application discloses a data reporting method, device, equipment and medium, belonging to the field of communication technology. The data reporting method of the embodiment of the present application includes: a first device sends target information to a second device; wherein the target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first labeling information and second labeling information; each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is the labeling information of the associated piece of the data measurement information; the second labeling information is the labeling information shared by the data measurement information associated with the data samples in the same data sample group. In the embodiment of the present application, the data measurement information and labeling information of the data sample are reported in the form of a data sample group, and specifically the shared labeling information corresponding to the sample data in the group is uniformly reported, which can effectively reduce the information redundancy of the data report.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a block diagram of a wireless communication system to which an embodiment of the present application can be applied;

FIG2 is a flow chart of a data reporting method provided in an embodiment of the present application;

FIG3 is a schematic diagram of a data grouping provided in an embodiment of the present application;

FIG4 is a flow chart of another data reporting method provided in an embodiment of the present application;

FIG5 is a schematic diagram of a data reporting device provided in an embodiment of the present application;

FIG6 is a schematic diagram of another data reporting device provided in an embodiment of the present application;

FIG7 is a schematic diagram of a communication device provided in an embodiment of the present application;

FIG8 is a schematic diagram of a hardware structure of a terminal provided in an embodiment of the present application;

FIG9 is a schematic diagram of a network-side device provided in an embodiment of the present application.

FIG10 is a schematic diagram of another network-side device provided in an embodiment of the present application.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of this application.

The terms "first", "second", etc. of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of one type, and the number of objects is not limited, for example, the first object can be one or more. In addition, "or" in the present application represents at least one of the connected objects. For example, "A or B" covers three schemes, namely, Scheme 1: including A but not including B; Scheme 2: including B but not including A; Scheme 3: including both A and B. The character "/" generally indicates that the objects associated with each other are in an "or" relationship.

The term "indication" in this application can be a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, operations to be performed, or request results in the sent indication; an indirect indication can be understood as the receiver determining the corresponding information according to the indication sent by the sender, or making a judgment and determining the operation to be performed or the request result according to the judgment result.

It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE)/LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned systems and radio technologies as well as other systems and radio technologies. The following description describes a New Radio (NR) system for example purposes, and NR terms are used in most of the following descriptions, but these technologies can also be applied to systems other than NR systems, such as ^6th Generation (6G) communication systems.

FIG1 shows a block diagram of a wireless communication system applicable to the embodiment of the present application. The wireless communication system includes a terminal 11 and a network side device 12 . Among them, the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (Ultra-mobile Personal Computer, UMPC), a mobile Internet device (Mobile Internet Device, MID), an augmented reality (Augmented Reality, AR), a virtual reality (Virtual Reality, VR) device, a robot, a wearable device (Wearable Device), a flight vehicle (flight vehicle), a vehicle user equipment (VUE), a shipborne equipment, a pedestrian terminal (Pedestrian User Equipment, PUE), a smart home (home appliances with wireless communication functions, such as refrigerators, televisions, washing machines or furniture, etc.), a game console, a personal computer (Personal Computer, PC), a teller machine or a self-service machine and other terminal side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be called a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) access point (Access Point, AP) or a wireless fidelity (Wireless Fidelity, WiFi) node, etc. Among them, the base station can be called Node B (Node B, NB), Evolved Node B (Evolved Node B, eNB), the next generation Node B (the next generation Node B, gNB), New Radio Node B (New Radio Node B, NR Node B), access point, Relay Base Station (Relay Base Station, RBS), Serving Base Station (Serving Base Station, SBS), Base Transceiver Station (Base Transceiver Station, BTS), radio base station, radio transceiver, base Basic Service Set (BSS), Extended Service Set (ESS), home Node B (HNB), home evolved Node B (home evolved Node B), Transmission Reception Point (TRP) or other appropriate term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that, in the embodiments of the present application, only the base station in the NR system is taken as an example for introduction, and the specific type of the base station is not limited.

The core network equipment may include but is not limited to at least one of the following: core network nodes, core network functions, mobility management entity (Mobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane function (User Plane Function, UPF), policy control function (Policy Control Function, PCF), policy and charging rules function unit (Policy and Charging Rules Function, PCRF), edge application service discovery function (Edge Application Server Discovery ... user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user plane function (User Plane Function, UPF), user ion, EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), Binding Support Function (BSF), Application Function (AF), etc. It should be noted that in the embodiments of the present application, only the core network device in the NR system is taken as an example for introduction, and the specific type of the core network device is not limited. But not limited to at least one of the following: core network nodes, core network functions, Mobility Management Entity (MME), Access and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), etc. itory, UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (Local NEF, or L-NEF), Binding Support Function (BSF), Application Function (AF), Location Management Function (LMF), Gateway Mobile Location Centre (GMLC), Network Data Analytics Function (NWDAF), etc. It should be noted that in the embodiments of the present application, only the core network device in the NR system is taken as an example for introduction, and the specific type of the core network device is not limited.

For ease of understanding, some contents involved in the embodiments of the present application are described below:

Artificial intelligence (AI) has been widely used in various fields. Integrating artificial intelligence into wireless communication networks will significantly improve technical indicators such as throughput, latency, and user capacity, and is an important task for future wireless communication networks. There are many ways to implement AI modules, such as neural networks, decision trees, support vector machines, Bayesian classifiers, etc. Some embodiments of this application are described using neural networks as an example, but the specific type of AI module is not limited.

A neural network is composed of neurons, with a ₁ , a ₂ , …, a _K as input, w as weight (multiplicative coefficient), b as bias (additive coefficient), and σ(.) as activation function. Common activation functions include Sigmoid, tanh, ReLU (Rectified Linear Unit), etc. The parameters of the neural network are optimized by the gradient optimization algorithm. The gradient optimization algorithm is a type of algorithm that minimizes or maximizes the objective function (or loss function), and the objective function is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, a neural network model f(.) can be constructed. With the model, the predicted output f(x) can be obtained according to the input x, and the difference between the predicted value and the true value (f(x)-Y) can be calculated. This is the loss function. The purpose of model training is to find the appropriate W (which can be understood as a vector group of different weights w) and b (bias) to minimize the value of the above loss function. The smaller the loss value, the closer the model is to the actual situation.

The common optimization algorithms currently used are usually based on the error back propagation (BP) algorithm. The basic idea of the BP algorithm is that the learning process consists of two processes: the forward propagation of the signal and the back propagation of the error. During the forward propagation, the input sample is transmitted from the input layer, processed by each hidden layer layer by layer, and then transmitted to the output layer. If the actual output of the output layer does not match the expected output, it will enter the error back propagation stage. Error back propagation is to propagate the output error layer by layer through the hidden layer to the input layer in some form, and distribute the error to all units in each layer, so as to obtain the error signal of each layer unit, and this error signal is used as the basis for correcting the weights of each unit. This process of adjusting the weights of each layer of the signal forward propagation and error back propagation is repeated. The process of continuous adjustment of weights is the learning and training process of the network (model). This process continues until the error of the network output is reduced to an acceptable level, or until the pre-set number of learning times is reached. Common optimization algorithms include Gradient Descent, Stochastic Gradient Descent (SGD), mini-batch gradient descent, Momentum, Nesterov (name of the inventor, specifically stochastic gradient descent with momentum), Adaptive Gradient Descent (Adagrad), Adadelta, root mean square prop (RMSprop), Adaptive Moment Estimation (Adam), etc. When the error is back-propagated, these optimization algorithms all calculate the derivative/partial derivative of the current neuron based on the error/loss obtained from the loss function, add the learning rate, the previous gradient/derivative/partial derivative, etc., to obtain the gradient, and pass the gradient to the previous layer.

In the embodiments of the present application, the AI-related content (e.g., AI unit/AI model) may also be understood as AI unit, AI model, machine learning (ML) model, ML unit, AI structure, AI function, AI characteristic, neural network, neural network function, neural network function, etc., or the AI-related content may also refer to a processing unit capable of implementing specific algorithms, formulas, processing procedures, capabilities, etc. related to AI, or the AI-related content may be a processing method, algorithm, function, module or unit for a specific data set, or the AI-related content may be a processing method, algorithm, function, module or unit running on AI/ML-related hardware such as a graphics processing unit (GPU), a graphics processing unit (Neural Processing Unit, NPU), a tensor processing unit (TPU), an application-specific integrated circuit (ASIC), etc., and the present application does not make specific limitations on this. Optionally, the specific data set (data sample set or sample set) includes at least one of the input and output of the AI unit/AI model.

Optionally, the identifier of the AI unit/AI model may be an AI model identifier, an AI structure identifier, an AI algorithm identifier, or an identifier of a specific data set associated with the AI unit/AI model, or an identifier of a specific scenario, environment, channel feature, or device related to the AI/ML, or an identifier of a function, feature, capability, or module related to the AI/ML, and this application does not specifically limit this.

The data reporting method, apparatus, device and medium provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings through some embodiments and their application scenarios.

Referring to FIG. 2 , FIG. 2 is a flow chart of a data reporting method provided in an embodiment of the present application, which is used for a first device. As shown in FIG. 2 , the method includes the following steps:

Step 201: The first device sends target information to the second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

In an embodiment of the present application, relevant information of data samples is reported in groups, that is, relevant information of data samples is reported in units of data sample groups, and the data sample group corresponding to the reported target information may be one group or multiple groups, and each group of data sample groups includes the above-mentioned first information, wherein the above-mentioned first information includes data measurement information and annotation information corresponding to the data measurement information, and the above-mentioned annotation information may include features associated with the above-mentioned data measurement information. The above-mentioned annotation information includes first annotation information (also referred to as first data annotation information) and second annotation information (also referred to as second data annotation information). Considering that the features associated with the data measurement information of each sample may be different, the embodiment of the present application sets the first annotation information of the data measurement information; since the features associated with the data measurement information of a group of samples may be the same or similar, the embodiment of the present application sets the second annotation information of the data measurement information.

Among them, the first annotation information can be understood as annotation information that corresponds one-to-one with the data measurement information, that is, data sample annotation (data sample-specific). A data sample group may include one or more data samples, which depends on the choice of data grouping method and the specific data sample characteristics. Optionally, each data sample group in at least some of the data sample groups includes multiple data samples. Each data sample in a data sample group is associated with a piece of data measurement information, and multiple data samples are associated with multiple pieces of data measurement information. Correspondingly, one piece of data measurement information corresponds to one piece of first annotation information, that is, each data sample in the data sample group is associated with one piece of the data measurement information and one piece of the first annotation information.

Among them, the second annotation information can be understood as the annotation information shared by the sample data or data measurement information within the group, and can be understood as data grouping annotation and group reporting, that is, data sample group annotation (data group-specific).

The difference between the first annotation information and the second annotation information is that the first annotation information is the annotation information for each sample and describes the characteristics of each sample; the second annotation information is the annotation information for a group of samples and describes the common characteristics of a group of data samples, such as the same associated TRP.

In an embodiment of the present application, in order to reduce the redundancy of data labeling and the overhead of data collection and reporting, a method for data group labeling and reporting is designed, namely: a piece of data has two types of labels, the first type of labeling information is data sample-specific, each piece of data corresponds to a label, which describes the characteristics of each piece of data, such as location coordinates; the second type of labeling information is data group-specific, a group (N _i data samples) shares a label, which describes the common characteristics of a data sample, such as data quality indication, cell ID, etc.

That is, in the embodiment of the present application, a data sample is associated with a piece of data measurement information and a first annotation information, and a group of data samples is associated with a second annotation information; that is, by uniformly reporting the shared (identical) annotation information of the same group of data samples, the redundancy of the reported information and the overhead of data reporting are reduced, while ensuring the flexibility of data reporting.

In the embodiment of the present application, data measurement information and annotation information of data samples are reported in the form of data sample groups, and specifically, the common annotation information corresponding to the sample data in the group is uniformly reported, which can effectively reduce information redundancy in data reporting.

Optionally, the target information is used for at least one of the following: artificial intelligence (AI) model training, AI model performance monitoring, AI model switching, AI model selection, AI model activation, AI model deactivation, AI function performance monitoring, AI function switching, AI function selection, AI function activation, AI function deactivation, and AI function fall back.

In the embodiment of the present application, the target information can be understood as labeled data measurement information. The labeled data measurement information can be used in AI-related scenarios, and can also be used in other scenarios that require data labeling. The embodiment of the present application does not limit this.

Taking the application of the target information to AI model training as an example, the data measurement information is related to the input of the AI model, the first annotation information is related to the output of the AI model, and at least includes the characteristics of each sample; the second annotation information contains at least the common characteristics of a group of data samples; the second annotation information can be the input of the AI model or the output of the AI model.

It can be understood that the relevant information of the reported data measurement information (for example, the content and format involved in the data measurement information) and the relevant information of the annotation information (for example, the annotation method) are related to the usage requirements of the data sample, and can be based on the requirements of the second device (indicated by the second device), or can also be agreed upon by the protocol.

The annotation method of the above-mentioned annotation information may include: data annotation content (specific information elements included in the first annotation information and the second annotation information), priority (priority of the annotation content), format (size, preprocessing method), etc.

Optionally, the data measurement information is agreed upon by a protocol or indicated by the second device;

Or, the marking method of the first marking information is agreed upon by a protocol or indicated by the second device;

Alternatively, the marking method of the second marking information is agreed upon by a protocol or indicated by the second device.

In the embodiment of the present application, when the second device indicates, it can be understood that the target information is reported according to the needs of the second device. For example, the second device needs to train the AI model, and the corresponding input and output requirements of the AI model also correspond to specific data measurement information and annotation information, but the annotation information is divided into the first annotation information set for each sample and the second annotation information set uniformly for each group of samples.

Optionally, the data measurement information includes at least one of the following:

Identification of the data sample;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

In an embodiment of the present application, each piece of data measurement information may include one or more kinds of information, and the specific information content may be at least one of the following: an identifier of a data sample; channel state information; layer 3 reference signal received power (L3 Reference Signal Received Power, L3-RSRP); layer 3 reference signal received quality (L3 Reference Signal Received Quality, L3-RSRQ); and a beam identifier (Beam ID).

Optionally, the first annotation information includes at least one of the following:

Identification of the data sample;

Location coordinates;

Timestamp information;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

In an embodiment of the present application, each first annotation information may include one or more kinds of information, and the specific information content may be at least one of the following: identification of the data sample; location coordinates; timestamp information; channel state information; layer 3 reference signal received power L3-RSRP; layer 3 reference signal received quality L3-RSRQ; and beam identification.

It can be understood that since the content of the data measurement information and the content of the first annotation information corresponding to each data sample are related to the usage requirements of the data sample, in different use cases, the content of the data measurement information and the content of the first annotation information are different, that is, in different use cases, the content of the data measurement information and the content of the first annotation information may be replaced.

In an embodiment of the present application, the identifier of the above data sample may also be a data ID. The beam identifier may be a reference signal resource identifier (RS ID) or a reference signal resource set identifier, which is used to indicate beam information.

Optionally, the channel state information includes at least one of the following:

Channel quality information; time domain channel impulse response; channel delay power spectrum; channel delay spectrum; channel frequency response; precoding matrix indication PMI; original channel information; characteristic information of the channel matrix; large-scale parameters; layer 1 reference signal received power L1-RSRP; layer 1 reference signal received quality L1-RSRQ; reference signal resource indication; strongest layer indication; rank indication RI; layer indication LI.

In the embodiment of the present application, the above-mentioned channel state information includes but is not limited to at least one of the following:

Channel quality information;

Time domain channel impulse response;

Channel delay power spectrum;

Channel delay profile;

Channel frequency response;

Precoding Matrix Indicator (PMI);

Original channel information, where the original channel information can be understood as channel information that has not been processed by feature extraction or the like. Other channel state information except the original channel information can be partial information extracted from the original channel information. In other words, the original channel contains all the channel information;

Characteristic information of the channel matrix, for example, eigenvectors/singular vectors/SVD vectors/eigenvalues/singular values obtained by singular value decomposition (SVD) of the channel matrix; or vectors, matrices or values obtained by other decompositions of the channel matrix other than SVD decomposition, such as triangular factorization, QR factorization, Cholesky decomposition, spectral decomposition, etc.;

Large-scale parameters, such as Doppler shift, Doppler spread, average delay, and delay spread;

Layer 1 reference signal received power L1-RSRP;

Layer 1 reference signal received quality L1-RSRQ;

reference signal resource indication;

Strongest layer indication.

Optionally, the channel quality information includes at least one of the following:

Channel quality indicator CQI, signal-to-noise ratio SNR, signal-to-interference-plus-noise ratio SINR, signal power, noise power, interference power.

In the embodiment of the present application, the above-mentioned channel quality information includes but is not limited to at least one of the following:

Channel Quality Indicator (CQI), Rank Indicator (RI), Layer Indicator (LI), Signal-to-Noise Ratio (SNR), Signal to Interference plus Noise Ratio (SINR) (for example, L1-SINR, or L3-SINR), signal power, noise power, interference power, etc.

Optionally, the second annotation information includes at least one of the following:

Data cache window identifier;

an identification of the data sample group;

The number of data samples included in the data sample group;

Identification of the data sample;

Cell ID;

Reference signal type;

Reference signal identification;

Port number;

Quasi-co-sited QCL information;

Data quality indication;

Timestamp information;

Location information;

Beam identification;

Reference signal resource set identifier;

Reference signal resource representation;

Frequency layer.

In the embodiment of the present application, the second annotation information includes at least one of the following:

a) The data cache window identifier may be an ID of a data cache window, and the data cache window may be understood as a space for the first device to cache data;

b) the identifier of the data sample group may be a data group ID, indicating the ID of the group of samples;

c) the number of samples contained in the data set;

d) The identifier of the above-mentioned data sample can be a data ID, that is, when the same group of data samples reports the above-mentioned second annotation information, the identifier of all data samples corresponding to the second annotation information (data ID) can be carried in the second annotation information, so that the second device can restore the second annotation information corresponding to each data sample; it can be understood that the identifier of the above-mentioned data sample is not necessary for the second annotation information, and the association relationship between the second annotation information and the data measurement information and the first annotation information in the group can also be reflected in the organizational form of data reporting.

e) The cell identifier may be a cell ID: the group of data samples is associated with the same cell ID; the cell ID may be at least one of the following: a physical cell ID, a serving cell ID, a transmission reception point TRP ID, a tracking area identifier (TAI), an area identifier, a scene identifier, a cell group ID, a reference signal RS identifier associated with a cell (e.g., a synchronization signal block index SSB index is associated with a cell, and a certain SSB index represents a certain cell), etc.;

f) Reference signal type: the group of data samples are associated with the same reference signal type;

g) reference signal ID; the group of data samples is associated with the same reference signal ID;

h) Port number: the group of data samples is associated with the same port number;

i) Quasi Co-Location (QCL) information: contains the channel characteristics of this group of samples and other reference signals or ports;

j) Data quality indication: the group of samples are associated with the same data quality;

k) Timestamp information; the group of samples has a strong time correlation, or the group of samples can be marked with a timestamp;

l) Position coordinates, which may be data samples collected at the same position or within the same position range as the same data sample group;

m) The above beam identifier may be a beam ID: indicating that the group of samples is associated with the same beam ID, or is associated with the same transmit beam angle, or is associated with the same receive beam angle;

Optionally, the identifier of the data sample includes at least one of the following:

an identification of the data sample in the data sample group;

The identification of the data sample in the data buffer window;

The global identifier of the data sample.

In the embodiment of the present application, it can be considered that the IDs of different data samples are unique, or at least the IDs of different data samples are different within a period of time. The identification of a data sample can also be understood as the number of the data sample, which can be a number within the data sample group. For example, if the data sample group includes _Ni data samples, then the identification of the data sample in the data sample group can be one of 1 to _Ni ; it can also be the number of the data sample in the data cache window. For example, if the data cache window includes N data samples, then the identification of the data sample in the data cache window can be one of 1 to N; the identification of the above data sample can also be a number in the global scope, that is, it is numbered together with all data samples.

In an embodiment of the present application, the length N of the data cache window is determined based on the device status of the first device (for example, at least one of the battery status and the storage space). Assuming that the maximum storage space of the first device used for data acquisition cache data is P, and the average storage space occupied by each data is M, then N is an integer less than or equal to P/M.

Optionally, the data cache window of the first device includes N data samples, where N is a positive integer and is determined according to a device state of the first device.

In the embodiment of the present application, the number of data sample groups included in the data cache window needs to be determined according to the grouping rule of the data samples to determine the number of groups that the N data samples can be divided into, which can be one group or multiple groups.

Optionally, the data cache window of the first device includes T groups of data sample groups, where T is a positive integer; when T is greater than 1, each group of data sample groups includes the same number of data samples, or at least two data sample groups include different numbers of data samples.

In the embodiment of the present application, the data buffer window of the first device contains at least T groups of samples, and each group of data samples may contain the same or different numbers of data samples. Whether the number of data samples included in different data sample groups is the same is determined according to the grouping rules and the characteristics of the data itself.

Optionally, the grouping mode of the data sample group includes at least one of the following:

The data samples are grouped continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped continuously, and the number of data samples in each group of data samples is different;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different;

The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous.

In the embodiment of the present application, the mode of data grouping includes at least one of the following:

a) Continuous grouping, with the same number of samples in each group;

b) Non-consecutive grouping, with the same number of samples in each group;

c) Continuous grouping, with different sample sizes in each group;

d) Non-continuous grouping, the number of samples in each group is different.

In the embodiment of the present application, the difference between continuous grouping and non-continuous grouping lies in whether the data IDs in the same group are continuous.

In the embodiment of the present application, the grouping mode of the data sample group, exemplarily, as shown in FIG3 , can be divided into the following modes.

Mode 1: The data in the same group are continuous data samples. For example, for the i-th group of data, they are continuous data samples in time, and the number of data samples _Ni in different groups is the same;

Mode 2: The data in the same group are continuous data samples. For example, for the i-th group of data, they are continuous data samples in time. The number of data samples _Ni in different groups can be different.

Mode 3: The data classified into the same group are non-continuous data samples. For example, for the i-th group of data, they are data samples with certain common features, and the number of data samples _Ni in different groups is the same;

Mode 4: The data classified into the same group are non-continuous data samples. For example, for the i-th group of data, they are data samples with certain common features. The number _Ni of data samples in different groups may be different.

Modes 1 and 2 are continuous groupings, and the data in the same group is continuous in time. In some time series prediction use cases, the reporting of timestamp information and data ID can be omitted in a group. For example, in CSI prediction, the UE collects and reports CSI at continuous moments. In this case, the continuous grouping mode can be used, and the length of the group can be set according to the task requirements. For example, the task requirement of CSI prediction is to predict the CSI at D2 moments (for example, time slots) in the future based on the CSI at the past D1 moments (for example, time slots). In this case, the length of a group of data can be D=D1+D2. In addition, in cases where the channel changes slowly, a group of data can be marked with a timestamp, which can also save reporting overhead.

Modes 3 and 4 are non-continuous groupings. The data of the same group may be discontinuous in time. For example, in AI-based positioning, the location information is estimated based on the channel measurement information of the UE and multiple TRPs, and the grouping may be based on at least one of the following information (second annotation information):

Channel measurement information of the same group can be associated with a label of the same location coordinate;

Channel measurement information of the same group can be associated with the same TRP ID or cell ID;

Channel measurement information of the same group may be associated with the same data quality indication information;

Channel measurement information of the same group can be associated with the same port number, etc.

Referring to the content of the aforementioned second annotation information, the grouping result can also be determined based on the reference signal, beam ID, QCL and other contents.

Optionally, the method further includes:

The first device receives third information sent by the second device;

Or, the first device sends fourth information to the second device;

The third information or the fourth information is used to indicate a grouping mode of the data sample group.

The above-mentioned grouping mode may be sent from the first device to the second device, or may be sent from the second device to the first device.

Optionally, the method further includes:

The first device sends fifth information to the second device;

The fifth information is used for at least one of the following:

In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples;

In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated.

In the embodiment of the present application, when the data samples are grouped continuously, the time interval between two consecutive data samples is indicated, wherein the time intervals between different data samples may be the same or different.

Optionally, the difference between the same and different numbers of samples in each group lies in whether it is necessary to indicate the number of samples in each group. When the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated; or, when the number of data samples in each data sample group is different, the number of data samples in each data sample group is indicated separately.

Optionally, the method further includes:

The first device determines the target information based on at least one of the first data and the second data;

The first data is obtained by measuring the first device, and the second data is obtained by receiving data sent by a third device.

In the embodiment of the present application, the first device obtains the first data through data measurement; the first device determines the target information based on the first data; or, the first device receives the second data sent by the third device; the first device determines the target information based on the second data. That is, the target information reported in the embodiment of the present application may include at least one of the data (first data) measured by the first device (e.g., terminal) itself and the data (second data) obtained from other devices (e.g., core network device).

Optionally, the method further includes: caching the first data or the second data in a data cache window of the first device by adopting any one of the following methods:

When the data cache window is full and new first data or second data is acquired, discarding the newly acquired first data or second data;

When the data cache window is full and new first data or second data is acquired, discarding the earliest data in the data cache window;

When the data cache window is full and new first data or second data is acquired, discarding low-priority data in the data cache window;

When the data cache window is full and new first data or second data is obtained, the reported data in the data cache window is discarded.

In the embodiment of the present application, when the first device is measuring the first data or receiving the second data, the storage space of the data cache window may be full. In this case, different data cache methods can be used:

a) When the data buffer window is full, the newly collected data is discarded (i.e., if the data buffer window is full, no more data will be collected);

b) When the data cache window is full, the earliest collected data is discarded (that is, the data cache window is sliding, and the earliest collected data is discarded even if the data cache window is full);

c) When the data buffer window is full, the reported data is discarded;

d) When the data buffer window is full, the low-priority data is discarded (i.e., the data is still collected even if it is full, and the low-priority data is thrown away).

Optionally, the priority of the data in the data cache window is determined based on at least one of the following: data quality and data diversity.

In an embodiment of the present application, the priority information of the data may be determined based on at least one of data quality and data diversity, or may be determined in a preset manner, for example, different types of data correspond to different preset priorities.

i. Assessing priority based on data quality: The above data quality can be determined based on the channel quality corresponding to the data, or can be determined based on other methods. The better the data quality, the higher the priority. Optionally, the above channel quality includes at least one of the following: SNR, L1-RSRP, L1-SINR, L1-RSRQ, L3-RSRP, L3-SINR, L3-RSRQ.

ii. Assessing priority based on data diversity: The more data with the same distribution/features, the lower the priority. For example, the more similar samples there are in the data cache window, the lower the priority. Conversely, the higher the priority. That is, try to cache data with different distributions/features. The distribution/features of data include at least one of: data measurement information, first data labeling information, and second data labeling information.

Optionally, the method further includes:

The first device sends second information to the second device;

The second information includes at least one of the following:

The length of the data buffer window of the first device;

The number of bits of the data buffer window of the first device;

The number of bits per data sample group;

The number of bits per data sample.

In an embodiment of the present application, the first device may report to the second device in advance at least one of the following: the length N of the data buffer window, the number of bits of the data buffer window, the number of bits reported by a group of samples, and the number of bits reported by a sample. The number of bits of each data sample may be the sum of the number of bits of the data measurement information, the first annotation information, and the second annotation information corresponding to the data sample. The size of a group of data (the number of bits of each data sample group, or the number of samples of each data sample group) may also be determined based on the air interface resources configured by the network for data reporting.

By reporting the second information before reporting the target information, the second device knows at least one of the buffering capacity and the reported data volume of the first device, so as to facilitate the second device to subsequently indicate the air interface resources required for data reporting (target information).

Optionally, the first device is a terminal or a network side device;

Or, the second device is a terminal, or a network side device, or a server.

In the embodiment of the present application, the reporting method of the above target information may include any of the following:

Method 1: UE->gNB->third-party server (such as Minimization of Drive Tests (MDT) server) (UE sends to gNB via RRC signaling);

Method 2: UE->core network equipment (such as LMF)->third-party server;

Method 3: UE->gNB;

Method 4: UE->core network equipment;

Method 5: core network equipment -> UE -> third-party server;

Method 6: Core network equipment->UE->gNB->third-party server (UE sends to gNB via RRC signaling).

Optionally, as shown in the above-mentioned method 1, the reporting of the above-mentioned target information in the embodiment of the present application can adopt the reporting process of minimization of drive tests (MDT), and the reporting process of MDT is UE->gNB->MDT server. Correspondingly, the first device in the embodiment of the present application can be UE or access network device, and the second device can be access network device or MDT server.

Further considering the existence of privacy issues and location management function (LMF), the data collected from the terminal side by the minimized drive test MDT framework (UE->gNB->MDT server) in the related technology through the radio resource management (RRM) mechanism may not be directly used for AI positioning. With the increase of AI use cases, the future data collection framework may not be targeted at a certain use case, but at all use cases. In order to increase the scope of application of data reporting, the MDT server may not be used as the reporting target device in method 1, or the device object for data reporting may be changed with reference to methods 2-6, thereby expanding the applicable scenarios of target information reporting.

In an embodiment of the present application, a data collection grouping annotation and reporting method is provided, wherein the data reporting method is: data measurement information, first annotation information, and second annotation information, and the three are associated together through at least one of data ID and timestamp information. Optionally, after reporting a data cache window, the second device can use the data measurement information, first data annotation information, and associated second data annotation information with the same data ID as a data sample.

Exemplarily, the UE reports data measurement information and first annotation information of data ID=1-6. Based on different characteristics, the second annotation information may include multiple pieces of second annotation information (for example, the second annotation information grouped by TRP ID or the second annotation information grouped by location coordinates), for example:

Grouped by TRP ID as common feature:

TRP ID＝1:Data ID＝1,3,5

TRP ID = 2: Data ID = 2, 4, 6

Group by position coordinates as common features:

Position coordinates = [0,0]: Data ID = 1, 2, 3, 4

Location coordinates = [1,1]: Data ID = 5,6

The second device combines the above information to obtain the data sample: data measurement information of the sample with data ID=1, first data annotation information of the sample with data ID=1, and second data annotation information of data ID=1 {position coordinates [0,0] and TRP ID=1}.

Referring to FIG. 4 , FIG. 4 is a flow chart of a data reporting method provided in an embodiment of the present application, which is used for a second device. As shown in FIG. 4 , the method includes the following steps:

Step 401: The second device receives target information sent by the first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

Optionally, the data measurement information includes at least one of the following:

Identification of the data sample;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the first annotation information includes at least one of the following:

Identification of the data sample;

Location coordinates;

Timestamp information;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the channel state information includes at least one of the following:

Channel quality information; time domain channel impulse response; channel delay power spectrum; channel delay spectrum; channel frequency response; precoding matrix indication PMI; original channel information; characteristic information of channel matrix; large-scale parameters; layer 1 reference signal received power L1-RSRP; layer 1 reference signal received quality L1-RSRQ; reference signal resource indication; strongest layer indication; rank indication RI; layer indication LI;

Optionally, the channel quality information includes at least one of the following:

Channel quality indicator CQI, signal-to-noise ratio SNR, signal-to-interference-plus-noise ratio SINR, signal power, noise power, interference power.

Optionally, the second annotation information includes at least one of the following:

Data cache window identifier;

an identification of the data sample group;

The number of data samples included in the data sample group;

Identification of the data sample;

Cell ID;

Reference signal type;

Reference signal identification;

Port number;

Quasi-co-sited QCL information;

Data quality indication;

Timestamp information;

Location information;

Beam identification;

Reference signal resource set identifier;

Reference signal resource representation;

Frequency layer.

Optionally, the identifier of the data sample includes at least one of the following:

an identification of the data sample in the data sample group;

The identification of the data sample in the data buffer window;

The global identifier of the data sample.

Optionally, the method further includes:

The second device sends indication information to the first device;

The indication information is used to indicate at least one of the following:

The content of the data measurement information, the marking method of the first marking information and the marking method of the second marking information.

Optionally, the method further includes:

The second device receives second information sent by the first device;

The second information includes at least one of the following:

The length of the data buffer window of the first device;

The number of bits of the data buffer window of the first device;

The number of bits per data sample group;

The number of bits per data sample.

Optionally, the method further includes:

The second device sends third information to the first device;

Or, the second device receives fourth information sent by the first device;

The third information or the fourth information is used to indicate a grouping mode of the data sample group.

Optionally, the grouping mode of the data sample group includes at least one of the following:

The data samples are grouped continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped continuously, and the number of data samples in each group of data samples is different;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different;

The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous.

Optionally, the method further includes:

The second device receives fifth information sent by the first device;

The fifth information is used for at least one of the following:

In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples;

In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated.

It should be noted that this embodiment is an implementation method of the data reporting method executed by the second device corresponding to the embodiment shown in Figure 2. Its specific implementation method can refer to the relevant description in the embodiment shown in Figure 2. To avoid repeated description, this embodiment will not be repeated.

In the embodiment of the present application, data measurement information and annotation information of data samples are reported in the form of data sample groups, and specifically, the common annotation information corresponding to the sample data in the group is uniformly reported, which can effectively reduce information redundancy in data reporting.

The data reporting method shown in FIG. 2 provided in the embodiment of the present application can be executed by a data reporting device. In the embodiment of the present application, the data reporting method is executed by a data reporting device as an example, as shown in FIG. 5, to illustrate the data reporting device 500 provided in the embodiment of the present application:

A first sending module 501, configured to send target information to a second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

Optionally, the data measurement information includes at least one of the following:

Identification of the data sample;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the first annotation information includes at least one of the following:

Identification of the data sample;

Location coordinates;

Timestamp information;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the channel state information includes at least one of the following:

Channel quality information; time domain channel impulse response; channel delay power spectrum; channel delay spectrum; channel frequency response; precoding matrix indication PMI; original channel information; characteristic information of channel matrix; large-scale parameters; layer 1 reference signal received power L1-RSRP; layer 1 reference signal received quality L1-RSRQ; reference signal resource indication; strongest layer indication; rank indication RI; layer indication LI;

The channel quality information includes at least one of the following:

Channel quality indicator CQI, signal-to-noise ratio SNR, signal-to-interference-plus-noise ratio SINR, signal power, noise power, interference power.

Optionally, the second annotation information includes at least one of the following:

Data cache window identifier;

an identification of the data sample group;

The number of data samples included in the data sample group;

Identification of the data sample;

Cell ID;

Reference signal type;

Reference signal identification;

Port number;

Quasi-co-sited QCL information;

Data quality indication;

Timestamp information;

Location information;

Beam identification;

Reference signal resource set identifier;

Reference signal resource representation;

Frequency layer.

Optionally, the identifier of the data sample includes at least one of the following:

an identification of the data sample in the data sample group;

The identification of the data sample in the data buffer window;

The global identifier of the data sample.

Optionally, the data cache window of the first device includes T groups of data sample groups, where T is a positive integer; when T is greater than 1, each group of data sample groups includes the same number of data samples, or at least two data sample groups include different numbers of data samples;

Or, the data cache window of the first device includes N data samples, where N is a positive integer and is determined according to a device state of the first device.

Optionally, the device further comprises:

A determination module, configured to determine the target information based on at least one of the first data and the second data;

The first data is obtained by measuring the first device, and the second data is obtained by receiving data sent by a third device.

Optionally, the device further comprises:

a cache module, configured to cache the first data or the second data in a data cache window of the first device;

The cache module comprises:

A first cache submodule, configured to discard the newly acquired first data or second data when the data cache window is full and new first data or second data is acquired;

A second cache submodule, configured to discard the earliest data in the data cache window when the data cache window is full and new first data or second data is acquired;

A third cache submodule, configured to discard low-priority data in the data cache window when the data cache window is full and new first data or second data is acquired;

The fourth cache submodule is used to discard the reported data in the data cache window when the data cache window is full and new first data or second data is obtained.

Optionally, the priority of the data in the data cache window is determined based on at least one of the following: data quality and data diversity.

Optionally, the data measurement information is agreed upon by a protocol or indicated by the second device;

Or, the marking method of the first marking information is agreed upon by a protocol or indicated by the second device;

Alternatively, the marking method of the second marking information is agreed upon by a protocol or indicated by the second device.

Optionally, the device further comprises:

A second sending module, used to send second information to the second device;

The second information includes at least one of the following:

The length of the data buffer window of the first device;

The number of bits of the data buffer window of the first device;

The number of bits per data sample group;

The number of bits per data sample.

Optionally, the device further comprises:

A first receiving module, configured to receive third information sent by the second device;

Or, a third sending module, used to send fourth information to the second device;

The third information or the fourth information is used to indicate a grouping mode of the data sample group.

Optionally, the grouping mode of the data sample group includes at least one of the following:

The data samples are grouped continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped continuously, and the number of data samples in each group of data samples is different;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different;

The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous.

Optionally, the device further comprises:

a fourth sending module, configured to send fifth information to the second device;

The fifth information is used for at least one of the following:

In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples;

In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated.

The data reporting device in the embodiment of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or it can be other devices other than a terminal. Exemplarily, the terminal can include but is not limited to the types of terminal 11 listed above, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiment of the present application.

The data reporting device provided in the embodiment of the present application can implement each process implemented by the method embodiment of Figure 2 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

The data reporting method provided in FIG. 4 of the embodiment of the present application can be executed by a data reporting device. In the embodiment of the present application, the data reporting method is performed by a data reporting device as an example, as shown in FIG. 6, to illustrate the data reporting device 600 provided in the embodiment of the present application:

The second receiving module 601 is used to receive target information sent by the first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

Optionally, the data measurement information includes at least one of the following:

Identification of the data sample;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the first annotation information includes at least one of the following:

Identification of the data sample;

Location coordinates;

Timestamp information;

Channel state information;

Layer 3 reference signal received power L3-RSRP;

Layer 3 reference signal reception quality L3-RSRQ;

Beam identification.

Optionally, the channel state information includes at least one of the following:

Channel quality information; time domain channel impulse response; channel delay power spectrum; channel delay spectrum; channel frequency response; precoding matrix indication PMI; original channel information; characteristic information of channel matrix; large-scale parameters; layer 1 reference signal received power L1-RSRP; layer 1 reference signal received quality L1-RSRQ; reference signal resource indication; strongest layer indication; rank indication RI; layer indication LI;

Optionally, the channel quality information includes at least one of the following:

Channel quality indicator CQI, signal-to-noise ratio SNR, signal-to-interference-plus-noise ratio SINR, signal power, noise power, interference power.

Optionally, the second annotation information includes at least one of the following:

Data cache window identifier;

an identification of the data sample group;

The number of data samples included in the data sample group;

Identification of the data sample;

Cell ID;

Reference signal type;

Reference signal identification;

Port number;

Quasi-co-sited QCL information;

Data quality indication;

Timestamp information;

Location information;

Beam identification;

Reference signal resource set identifier;

Reference signal resource representation;

Frequency layer.

Optionally, the identifier of the data sample includes at least one of the following:

an identification of the data sample in the data sample group;

The identification of the data sample in the data buffer window;

The global identifier of the data sample.

Optionally, the device further comprises:

A fifth sending module, configured to send indication information to the first device;

The indication information is used to indicate at least one of the following:

The content of the data measurement information, the marking method of the first marking information and the marking method of the second marking information.

Optionally, the device further comprises:

A third receiving module, configured to receive second information sent by the first device;

The second information includes at least one of the following:

The length of the data buffer window of the first device;

The number of bits of the data buffer window of the first device;

The number of bits per data sample group;

The number of bits per data sample.

Optionally, the device further comprises:

a sixth sending module, configured to send third information to the first device;

Or, a fourth receiving module, used to receive fourth information sent by the first device;

The third information or the fourth information is used to indicate a grouping mode of the data sample group.

Optionally, the grouping mode of the data sample group includes at least one of the following:

The data samples are grouped continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped continuously, and the number of data samples in each group of data samples is different;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same;

The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different;

The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous.

Optionally, the device further comprises:

a fifth receiving module, configured to receive fifth information sent by the first device;

The fifth information is used for at least one of the following:

In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples;

In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated.

The data reporting device in the embodiment of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or it can be other devices other than a terminal. Exemplarily, the terminal can include but is not limited to the types of terminal 11 listed above, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiment of the present application.

The data reporting device provided in the embodiment of the present application can implement each process implemented by the method embodiment of Figure 4 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

As shown in FIG7 , the embodiment of the present application further provides a communication device 700, including a processor 701 and a memory 702, wherein the memory 702 stores a program or instruction that can be run on the processor 701. For example, when the communication device 700 is a first device, the program or instruction is executed by the processor 701 to implement the various steps of the above-mentioned data reporting method embodiment, and can achieve the same technical effect. When the communication device 700 is a second device, the program or instruction is executed by the processor 701 to implement the various steps of the above-mentioned data reporting method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

The embodiment of the present application also provides a terminal, including a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the steps in the method embodiment shown in Figure 2 or Figure 4. This terminal embodiment corresponds to the above-mentioned terminal side method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to the terminal embodiment and can achieve the same technical effect. Specifically, Figure 8 is a schematic diagram of the hardware structure of a terminal implementing an embodiment of the present application.

The terminal 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809 and at least some of the components of a processor 810.

Those skilled in the art will appreciate that the terminal 800 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 810 through a power management system, so as to implement functions such as managing charging, discharging, and power consumption management through the power management system. The terminal structure shown in FIG8 does not constitute a limitation on the terminal, and the terminal may include more or fewer components than shown in the figure, or combine certain components, or arrange components differently, which will not be described in detail here.

It should be understood that in the embodiment of the present application, the input unit 804 may include a graphics processing unit (GPU) 8041 and a microphone 8042, and the graphics processor 8041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 807 includes a touch panel 8071 and at least one of other input devices 8072. The touch panel 8071 is also called a touch screen. The touch panel 8071 may include two parts: a touch detection device and a touch controller. Other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (such as a volume control key, a switch key, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

In the embodiment of the present application, after receiving downlink data from the network side device, the radio frequency unit 801 can transmit the data to the processor 810 for processing; in addition, the radio frequency unit 801 can send uplink data to the network side device. Generally, the radio frequency unit 801 includes but is not limited to an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

The memory 809 can be used to store software programs or instructions and various data. The memory 809 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 809 may include a volatile memory or a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 809 in the embodiment of the present application includes but is not limited to these and any other suitable types of memories.

The processor 810 may include one or more processing units; optionally, the processor 810 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 810.

The radio frequency unit 801 is used to send target information to the second device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

Alternatively, the radio frequency unit 801 is configured to receive target information sent by the first device;

The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information;

Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information;

The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group.

It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method embodiment Figure 2 or Figure 4, and achieve the same or corresponding technical effect. To avoid repetition, it will not be repeated here.

The embodiment of the present application also provides a network side device, including a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the steps of the method embodiment shown in Figure 2 or Figure 4. The network side device embodiment corresponds to the above-mentioned network side device method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to the network side device embodiment, and can achieve the same technical effect.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 9, the network side device 900 includes: an antenna 91, a radio frequency device 92, a baseband device 93, a processor 94 and a memory 95. The antenna 91 is connected to the radio frequency device 92. In the uplink direction, the radio frequency device 92 receives information through the antenna 91 and sends the received information to the baseband device 93 for processing. In the downlink direction, the baseband device 93 processes the information to be sent and sends it to the radio frequency device 92. The radio frequency device 92 processes the received information and sends it out through the antenna 91.

The method executed by the network-side device in the above embodiment may be implemented in the baseband device 93, which includes a baseband processor.

The baseband device 93 may include, for example, at least one baseband board, on which a plurality of chips are arranged, as shown in FIG. 9 , wherein one of the chips is, for example, a baseband processor, which is connected to the memory 95 through a bus interface to call a program in the memory 95 and execute the network device operations shown in the above method embodiment.

The network side device may also include a network interface 96, which is, for example, a Common Public Radio Interface (CPRI).

Specifically, the network side device 900 of the embodiment of the present application also includes: instructions or programs stored in the memory 95 and executable on the processor 94. The processor 94 calls the instructions or programs in the memory 95 to execute the methods executed by the modules shown in Figure 5 or Figure 6, and achieves the same technical effect. To avoid repetition, it will not be repeated here.

Specifically, the embodiment of the present application further provides a network side device. As shown in FIG10 , the network side device 1000 includes: a processor 1001, a network interface 1002 and a memory 1003. The network interface 1002 is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1000 of the embodiment of the present application also includes: instructions or programs stored in the memory 1003 and executable on the processor 1001. The processor 1001 calls the instructions or programs in the memory 1003 to execute the method executed by each module shown in Figure 5 or Figure 6, and achieves the same technical effect. To avoid repetition, it will not be repeated here.

An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the data reporting method embodiment shown in FIG. 2 or FIG. 4 is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk. In some examples, the readable storage medium may be a non-transient readable storage medium.

An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the method embodiments shown in Figures 2 or 4 above, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

The embodiments of the present application further provide a computer program/program product, which is stored in a storage medium and is executed by at least one processor to implement the various processes of the method embodiments shown in FIG. 2 or FIG. 4 above, and can achieve the same technical effect. To avoid repetition, it will not be described here.

An embodiment of the present application also provides a communication system, including: a first device and a second device, wherein the first device can be used to execute the steps of the data reporting method shown in FIG. 2 , and the second device can be used to execute the steps of the data reporting method shown in FIG. 4 .

It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general hardware platform, and of course, can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, disk, CD, etc.), including several instructions to enable a terminal or a network-side device to execute the methods described in each embodiment of the present application.

The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of the present application and the scope of protection of the claims, and these implementation methods are all within the protection of the present application.

Claims (37)

A data reporting method, comprising: The first device sends target information to the second device; The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information; Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information; The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group. The method according to claim 1, wherein the data measurement information includes at least one of the following: Identification of the data sample; Channel state information; Layer 3 reference signal received power L3-RSRP; Layer 3 reference signal reception quality L3-RSRQ; Beam identification. The method according to claim 1 or 2, wherein the first annotation information includes at least one of the following: Identification of the data sample; Location coordinates; Timestamp information; Channel state information; Layer 3 reference signal received power L3-RSRP; Layer 3 reference signal reception quality L3-RSRQ; Beam identification. The method according to claim 2 or 3, wherein the channel state information includes at least one of the following: Channel quality information; time domain channel impulse response; channel delay power spectrum; channel delay spectrum; channel frequency response; precoding matrix indication PMI; original channel information; characteristic information of channel matrix; large-scale parameters; layer 1 reference signal received power L1-RSRP; layer 1 reference signal received quality L1-RSRQ; reference signal resource indication; strongest layer indication; rank indication RI; layer indication LI; The channel quality information includes at least one of the following: Channel quality indicator CQI, signal-to-noise ratio SNR, signal-to-interference-plus-noise ratio SINR, signal power, noise power, interference power. The method according to any one of claims 1 to 4, wherein the second annotation information includes at least one of the following: Data cache window identifier; an identification of the data sample group; The number of data samples included in the data sample group; Identification of the data sample; Cell ID; Reference signal type; Reference signal identification; Port number; Quasi-co-sited QCL information; Data quality indication; Timestamp information; Location information; Beam identification; Reference signal resource set identifier; Reference signal resource representation; Frequency layer. The method according to any one of claims 2 to 5, wherein the identification of the data sample comprises at least one of the following: an identification of the data sample in the data sample group; The identification of the data sample in the data buffer window; The global identifier of the data sample. The method according to any one of claims 1 to 6, wherein the data cache window of the first device includes T groups of data sample groups, where T is a positive integer; when T is greater than 1, each group of data sample groups includes the same number of data samples, or at least two data sample groups include different numbers of data samples; Or, the data cache window of the first device includes N data samples, where N is a positive integer and is determined according to a device state of the first device. The method according to any one of claims 1 to 7, further comprising: The first device determines the target information based on at least one of the first data and the second data; The first data is obtained by measuring the first device, and the second data is obtained by receiving data sent by a third device. The method according to claim 8, further comprising: caching the first data or the second data in a data cache window of the first device in any one of the following ways: When the data cache window is full and new first data or second data is acquired, discarding the newly acquired first data or second data; When the data cache window is full and new first data or second data is acquired, discarding the earliest data in the data cache window; When the data cache window is full and new first data or second data is acquired, discarding low-priority data in the data cache window; When the data cache window is full and new first data or second data is obtained, the reported data in the data cache window is discarded. The method according to claim 9, wherein the priority of the data in the data cache window is determined based on at least one of the following: data quality and data diversity. The method according to any one of claims 1 to 10, wherein The data measurement information is agreed upon by a protocol or indicated by the second device; Or, the marking method of the first marking information is agreed upon by a protocol or indicated by the second device; Alternatively, the marking method of the second marking information is agreed upon by a protocol or indicated by the second device. The method according to any one of claims 1 to 11, further comprising: The first device sends second information to the second device; The second information includes at least one of the following: The length of the data buffer window of the first device; The number of bits of the data buffer window of the first device; The number of bits per data sample group; The number of bits per data sample. The method according to any one of claims 1 to 12, further comprising: The first device receives third information sent by the second device; Or, the first device sends fourth information to the second device; The third information or the fourth information is used to indicate a grouping mode of the data sample group. The method according to claim 13, wherein the grouping mode of the data sample group comprises at least one of the following: The data samples are grouped continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped continuously, and the number of data samples in each group of data samples is different; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different; The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous. The method according to claim 14, further comprising: The first device sends fifth information to the second device; The fifth information is used for at least one of the following: In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples; In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated. A data reporting method, comprising: The second device receives the target information sent by the first device; The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information; Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information; The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group. The method according to claim 16, wherein the data measurement information includes at least one of the following: Identification of the data sample; Channel state information; Layer 3 reference signal received power L3-RSRP; Layer 3 reference signal reception quality L3-RSRQ; Beam identification. The method according to claim 16 or 17, wherein the first annotation information includes at least one of the following: Identification of the data sample; Location coordinates; Timestamp information; Channel state information; Layer 3 reference signal received power L3-RSRP; Layer 3 reference signal reception quality L3-RSRQ; Beam identification. The method according to any one of claims 16 to 18, wherein the second annotation information includes at least one of the following: Data cache window identifier; an identification of the data sample group; The number of data samples included in the data sample group; Identification of the data sample; Cell ID; Reference signal type; Reference signal identification; Port number; Quasi-co-sited QCL information; Data quality indication; Timestamp information; Location information; Beam identification; Reference signal resource set identifier; Reference signal resource representation; Frequency layer. The method according to any one of claims 16 to 19, further comprising: The second device sends indication information to the first device; The indication information is used to indicate at least one of the following: The content of the data measurement information, the marking method of the first marking information and the marking method of the second marking information. The method according to any one of claims 16 to 20, further comprising: The second device receives second information sent by the first device; The second information includes at least one of the following: The length of the data buffer window of the first device; The number of bits of the data buffer window of the first device; The number of bits per data sample group; The number of bits per data sample. The method according to any one of claims 16 to 21, further comprising: The second device sends third information to the first device; Or, the second device receives fourth information sent by the first device; The third information or the fourth information is used to indicate a grouping mode of the data sample group. The method according to claim 22, wherein the grouping mode of the data sample group includes at least one of the following: The data samples are grouped continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped consecutively, and the number of data samples in each group of data samples is different; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different; The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous. The method according to claim 23, further comprising: The second device receives fifth information sent by the first device; The fifth information is used for at least one of the following: In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples; In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated. A data reporting device, applied to a first device, comprising: A first sending module, used to send target information to the second device; The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information; Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information; The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group. The device according to claim 25, further comprising: A determination module, configured to determine the target information based on at least one of the first data and the second data; The first data is obtained by measuring the first device, and the second data is obtained by receiving data sent by a third device. The device according to claim 26, further comprising: a cache module, configured to cache the first data or the second data in a data cache window of the first device; The cache module comprises: A first cache submodule, configured to discard the newly acquired first data or second data when the data cache window is full and new first data or second data is acquired; A second cache submodule, configured to discard the earliest data in the data cache window when the data cache window is full and new first data or second data is acquired; A third cache submodule, configured to discard low-priority data in the data cache window when the data cache window is full and new first data or second data is acquired; The fourth cache submodule is used to discard the reported data in the data cache window when the data cache window is full and new first data or second data is obtained. The device according to any one of claims 25 to 27, further comprising: A second sending module, used to send second information to the second device; The second information includes at least one of the following: The length of the data buffer window of the first device; The number of bits of the data buffer window of the first device; The number of bits per data sample group; The number of bits per data sample. The device according to any one of claims 25 to 28, further comprising: A first receiving module, configured to receive third information sent by the second device; Or, a third sending module, used to send fourth information to the second device; The third information or the fourth information is used to indicate a grouping mode of the data sample group. The apparatus according to claim 29, wherein the grouping mode of the data sample group comprises at least one of the following: The data samples are grouped continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped continuously, and the number of data samples in each group of data samples is different; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is the same; The data samples are grouped non-continuously, and the number of data samples in each group of data samples is different; The continuous grouping of data samples means that the identifiers of data samples in the same group are continuous; and the discontinuous grouping of data samples means that the identifiers of data samples in the same group are at least partially discontinuous. The device according to claim 30, further comprising: a fourth sending module, configured to send fifth information to the second device; The fifth information is used for at least one of the following: In the case where the data samples are grouped continuously, indicating the time interval between two consecutive data samples; In the case where the number of data samples in each data sample group is the same, the number of data samples in each data sample group is indicated. A data reporting device, comprising: A second receiving module, used to receive target information sent by the first device; The target information includes first information of at least one data sample group, and the first information of each data sample group includes: data measurement information, first annotation information and second annotation information; Each data sample in the data sample group is associated with one piece of the data measurement information, and each data sample is associated with one piece of the first labeling information, and each piece of the first labeling information is labeling information of an associated piece of the data measurement information; The second labeling information is labeling information shared by the data measurement information associated with the data samples in the same data sample group. The device according to claim 32, further comprising: A fifth sending module, configured to send indication information to the first device; The indication information is used to indicate at least one of the following: The content of the data measurement information, the marking method of the first marking information and the marking method of the second marking information. The device according to claim 32 or 33, further comprising: A third receiving module, configured to receive second information sent by the first device; The second information includes at least one of the following: The length of the data buffer window of the first device; The number of bits of the data buffer window of the first device; The number of bits per data sample group; The number of bits per data sample. The device according to any one of claims 32-34, further comprising: a sixth sending module, configured to send third information to the first device; Or, a fourth receiving module, used to receive fourth information sent by the first device; The third information or the fourth information is used to indicate a grouping mode of the data sample group. A communication device comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the data reporting method as described in any one of claims 1 to 15 are implemented, or when the program or instruction is executed by the processor, the steps of the data reporting method as described in any one of claims 16 to 24 are implemented. A readable storage medium storing a program or instruction, wherein the program or instruction, when executed by a processor, implements the data reporting method as described in any one of claims 1 to 15, or implements the steps of the data reporting method as described in any one of claims 16 to 24.