CN114158098B - A method, device and electronic equipment for improving private network community coverage - Google Patents

Abstract

This application proposes a private network cell coverage improvement method, device and electronic equipment, relating to the field of communication technology. Wherein, the above private network cell coverage improvement method includes: determining weak coverage cells in the first private network based on a minimized drive test report of the user equipment in the first private network. According to the channel quality indication of the user equipment in the weak coverage cell, the service information performed by the weak coverage cell is determined, and the rate threshold of the aggregate maximum bit rate of the weak coverage cell is adjusted. Thereby optimizing the coverage index of the private network community. Further, the low-speed user equipment is determined based on the movement speed and residence time of the user equipment in the weak coverage cell, and the low-speed user equipment is moved out of the first private network. Thus, the user perception of private network users can be improved in a targeted manner.

Description

A method, device and electronic equipment for improving private network community coverage

【Technical field】

The present application relates to the field of communication technology, and in particular to a method, device and electronic equipment for improving private network cell coverage.

【Background technique】

In the field of mobile communication technology, situations such as a large base station cell coverage area, a large distance between base stations, or cell signals being blocked by buildings may result in weak signals in the border areas of the base stations. The situation where the signal in the border area of the base station is weak can also be called weak cell signal coverage. Weak cell signal coverage will affect the quality of communication services and cause poor user perception.

Currently, the RSRP (Reference Signal Receiving Power) threshold for handover events in weak coverage cells can be lowered to make it easier for user equipment in weak coverage cells to switch to lightly loaded neighboring cells, thus improving the coverage of measurement reports. rate indicator. Alternatively, the coverage optimization of weak coverage cells can also be achieved by manually adjusting the background parameters of the antenna feeder.

However, the above-mentioned means of improving the coverage of weakly covered cells are mainly aimed at public network cells. It is difficult to apply to the scenario of collaborative coverage of public network and private network. For example, in the scenario of collaborative coverage between the public network and the high-speed rail private network, users of the high-speed rail private network move quickly and stay in the same community for a short time. Therefore, the weak coverage situation in the high-speed rail private network community is more complicated. Current technical means are mainly limited to improving the coverage of measurement reports, and cannot specifically improve the user perception of high-speed rail private network users.

[Content of the invention]

Embodiments of the present application provide a private network cell coverage improvement method, device and electronic equipment to optimize the coverage index of high-speed rail private network cells and specifically improve the user perception of high-speed rail private network users.

In a first aspect, embodiments of the present application provide a method for improving private network cell coverage, which includes: obtaining a minimum drive test report of each user equipment; the user equipment is a user equipment accessing the first private network; according to the minimum use the drive test report to determine the weak coverage cell in the first private network; determine the service information of the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell; adjust according to the service information The aggregate maximum bit rate AMBR rate threshold of the weak coverage cell; determine the low-speed user equipment in the weak coverage cell according to the moving speed and residence time of the user equipment in the weak coverage cell; migrate the low-speed user equipment Out of the first private network.

In one possible implementation manner, determining the weak coverage cell in the first private network based on the minimized drive test report includes: determining the reference signal reception of each user equipment based on the minimized drive test report. Power; determine the user equipment whose reference signal reception power is less than the first threshold as a weak coverage user equipment; if the ratio of the number of weak coverage user equipment in the cell to the total number of user equipment accessed by the cell is higher than the second threshold , then the cell is determined to be a weak coverage cell.

In one possible implementation, determining the service information of the weak coverage cell based on the channel quality indication of the user equipment in the weak coverage cell includes: based on the channel of each user equipment accessed by the weak coverage cell. Quality indication, determine the service type performed by each user equipment; determine the service type whose proportion exceeds the third threshold in the weak coverage cell according to the service type performed by each user equipment; determine the service type whose proportion exceeds the third threshold in the weak coverage cell , determine the service type carried out by the weak coverage cell.

In one possible implementation, adjusting the AMBR rate threshold of the weak coverage cell according to the service information includes: determining the rate baseline of the weak coverage cell according to the service type performed by the weak coverage cell; The rate baseline is determined as the AMBR rate threshold of the weak coverage cell.

In one possible implementation manner, after adjusting the AMBR rate threshold of the weak coverage cell, the method further includes: if the service quality of the user equipment in the weak coverage cell is lower than a preset value, then increasing the AMBR rate threshold. The third threshold: re-determine the service type performed by the weak coverage cell according to the increased third threshold.

In one possible implementation, determining the low-speed user equipment in the weak coverage cell based on the movement speed and residence time of the user equipment in the weak coverage cell includes: The moving speed and dwell time are input into the random forest algorithm model to obtain the user entropy value; based on the user entropy value, the low-speed user equipment in the weak coverage cell is determined; the random forest algorithm model is: Among them, E(τ) is the entropy value of the user equipment category; p is the category discrimination conditional probability; when q is 1, j _q is the moving speed of the user equipment; when q is 2, j _q is the dwell time of the user equipment .

In one possible implementation, determining the low-speed user equipment in the weak coverage cell according to the user entropy value includes: determining the user equipment whose user entropy value is greater than a fourth threshold and less than a fifth threshold as a candidate. Low-speed user equipment; determining the user equipment with a user entropy value greater than a fifth threshold as a high-speed user equipment; using a k-means algorithm to cluster the candidate low-speed user equipment according to the moving speed and residence time of the user equipment ; Determine the low-speed user equipment in the weak coverage cell according to the clustering result.

In the second aspect, embodiments of the present application provide a device for improving private network cell coverage, including: an acquisition module for obtaining a minimized drive test report of each user equipment; the user equipment is a user equipment connected to the first private network ; The first determination module is used to determine the weak coverage cell in the first private network based on the minimized drive test report; the second determination module is used to determine the channel quality indication of the user equipment in the weak coverage cell , determine the service information performed by the weak coverage cell; the adjustment module adjusts the AMBR rate threshold of the weak coverage cell according to the service information; the processing module adjusts the AMBR rate threshold of the weak coverage cell according to the moving speed and residence of the user equipment in the weak coverage cell time, determine the low-speed user equipment in the weak coverage cell; the processing module is further configured to: after determining the low-speed user equipment in the weak coverage cell, move the low-speed user equipment out of the first private network.

In a third aspect, embodiments of the present application provide an electronic device, including: at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores a program that can be executed by the processor. Instructions, the processor calls the program instructions to perform the method as described above.

In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium that stores computer instructions, and the computer instructions cause the computer to execute the method as described above.

In the above technical solution, the weak coverage cells in the first private network are determined based on the minimized drive test report of the user equipment in the first private network. And based on the channel quality indication of the user equipment in the weak coverage cell, the service information performed in the weak coverage cell is determined. Adjust the rate threshold of the aggregate maximum bit rate of the weak coverage cell based on the service information of the weak coverage cell. Thereby optimizing the coverage index of the private network community. Further, according to the moving speed and residence time of the user equipment in the weak coverage cell, the low-speed user equipment is determined, and the low-speed user equipment is moved out of the first private network. Thus, the user perception of private network users can be improved in a targeted manner.

[Picture description]

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of a private network cell coverage improvement method provided by an embodiment of the present application;

Figure 2 is a flow chart of another private network cell coverage improvement method provided by an embodiment of the present application;

Figure 3 is a schematic structural diagram of a private network cell coverage improvement device provided by an embodiment of the present application;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

【Detailed ways】

In order to better understand the technical solution of the present application, the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

It should be clear that the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of this application.

The terminology used in the embodiments of the present application is only for the purpose of describing specific embodiments and is not intended to limit the present application. As used in the embodiments and the appended claims, the singular forms "a," "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

Figure 1 is a flow chart of a private network cell coverage improvement method provided by an embodiment of the present application. As shown in Figure 1, the above private network cell coverage improvement method may include the following steps:

Step 101: Obtain a Minimization Drive Test (MDT) report of each user equipment in the first private network.

In this embodiment of the present application, the base station can obtain the MDT report of the user equipment accessing the first private network according to a preset time interval. Optionally, the base station can obtain MDT reports of all user equipments accessing the first private network. Alternatively, the base station may also obtain MDT reports of user equipments accessing some cells of the first private network. Among them, the MTD report is a measurement report of the user equipment, which can be used to characterize the current wireless network quality of the user equipment. The preset time interval can be set according to the actual situation. In the embodiment of the present application, for example, the preset time interval can be determined as 10S.

In some embodiments, the base station may obtain the MDT report of each user equipment in the first private network by: the user equipment generates the MDT report according to a preset time interval. After the user equipment generates the MDT report, the MDT report can be reported to the first equipment. Or, the user equipment receives the upload request sent by the base station. The user equipment sends an MTD report to the base station according to the upload request sent by the base station.

Step 102: Determine weak coverage cells in the first private network based on the MDT report.

In this embodiment of the present application, the reference signal receiving power (RSRP) of the user equipment can be obtained in the MDT report. Among them, RSRP can have time attributes and cell attributes. The time attribute indicates the acquisition time of the MDT report of the user equipment, and the cell attribute indicates the cell where the user equipment is located. Optionally, the obtained RSRP of each user equipment can be expressed as:

RSRP(i,j,τ)=Collection(C,U,T), i=1,2,3…m, j=1,2,3…n, τ=1,2,3,…t

Among them, Collection() is the sampling function. C is a private network cell cluster. U is the user cluster. T is the time cluster. m is the total number of private network cells. n is the total number of user equipment in any private network community. t is the number of MDT report acquisition times. i, j, τ are the serial numbers of the private network cell, user equipment and MDT report acquisition times respectively.

Then, the user equipment whose RSRP is smaller than the first threshold is determined to be a weakly covered user equipment.

The size of the first threshold can be set according to actual needs. In this embodiment of the present application, for example, the first threshold may be set to -110dbm.

Finally, if the ratio of the number of weakly covered user equipments in the cell to the total number of user equipments accessed by the cell is higher than the second threshold, the cell is determined to be a weakly covered cell.

For a specific private network cell, count the number of weakly covered user equipment in the cell and the total number of user equipment. If the proportion of weak coverage user equipment among all user equipment in the private network cell is higher than the second threshold, the private network cell is determined to be a weak coverage cell. The size of the second threshold can be set according to actual needs. In this embodiment of the present application, the second threshold may be set to 10%, for example.

Step 103: Determine the service information of the weak coverage cell based on the Channel Quality Indication (CQI) of the user equipment in the weak coverage cell.

First, the service type performed by each user equipment is determined based on the CQI of each user equipment in the weak coverage cell.

In this embodiment of the present application, the CQI of the user equipment may be included in the MDT report. It should be noted that CQI is divided into multiple different levels according to the size of the CQI value. Different levels of CQI correspond to different services.

Based on the above description, the corresponding CQI level can be determined according to the CQI value in the MDT report of the user equipment. According to the corresponding relationship between the CQI level and the service, the ongoing service in the user equipment can be further determined.

For a specific business, it can be classified according to the size of the business data packet. In the embodiment of the present application, for example, services can be divided into three types: large package service, medium package service and small package service.

Then, according to the service type performed by each user equipment, the service type whose proportion exceeds the third threshold in the weak coverage cell is determined.

In the embodiment of this application, for example, the proportion of large packet services, the proportion of medium packet services, and the proportion of small packet services in a weak coverage cell can be calculated. Among them, the size of the third threshold can be set according to the needs of the actual situation. In this embodiment of the present application, for example, the third threshold may be set to 30%.

Finally, the service type carried out by the weak coverage cell is determined based on the service types whose proportion exceeds the third threshold.

In some embodiments, after determining the service type whose proportion exceeds the third threshold, the weak coverage cell is determined to be a cell of the service type. for example. If the service type exceeding the third threshold is determined to be the small packet service, then the weak coverage cell is determined to be the small packet service cell.

Step 104: Adjust the aggregate maximum bit rate (Aggregated Maximum Bit Rate, AMBR) rate threshold of the weak coverage cell according to the service information.

First, according to the service type carried out by the weak coverage cell, the rate baseline of the weak coverage cell corresponding to the service type is determined.

It should be noted that in the embodiment of the present application, the rate baseline of the weak coverage cell of each service type may be determined in advance. Optionally, for each weak coverage cell of different service types, the service quality of user equipment in the cell under different AMBRs can be tested separately. In some embodiments, the AMBR that can guarantee the lowest service quality may be determined as the rate baseline of the weak coverage cell of the service type. In the embodiment of this application, the minimum service quality may be the service quality when the user complaint rate is equal to the complaint rate tolerance value. Among them, the size of the complaint rate tolerance value can be set according to the needs of the actual situation.

Then, adjust the AMBR rate threshold of the weak coverage cell based on the rate baseline.

For any weak coverage cell, query the rate baseline of the weak coverage cell under the service type according to the service type of the cell. In some embodiments, adjusting the AMBR rate threshold of the weak coverage cell according to the rate baseline may be to determine the rate baseline as the AMBR rate threshold of the weak coverage cell. In other embodiments, adjusting the rate threshold of the aggregate maximum bit rate of the weak coverage cell according to the rate baseline may also include adjusting the AMBR of the weak coverage cell to a value close to the rate baseline.

Step 105: Determine the low-speed user equipment in the weak coverage cell based on the moving speed and residence time of the user equipment in the weak coverage cell.

In a scenario where the high-speed rail private network and the ordinary public network coordinate coverage, there will be some public network user equipment that mistakenly connects to the high-speed rail private network. There is a big difference in mobile speed between public network user equipment and high-speed rail private network user equipment. Therefore, the low-speed user equipment in the weak coverage cell, that is, the public network user equipment, can be determined through the moving speed and residence time of the user equipment in the weak coverage cell.

Step 106: Migrate the low-speed user equipment out of the first private network.

For public network user equipment that mistakenly accesses the high-speed rail private network, that is, low-speed user equipment, the wireless network quality is poor. Moving low-speed user equipment out of the high-speed rail private network can, on the one hand, restore the normal wireless network quality of low-speed user equipment in the public network; on the other hand, it can specifically improve the network coverage of high-speed rail private network user equipment.

In the embodiment of the present application, the weak coverage cell in the first private network is determined based on the minimized drive test report of the user equipment in the first private network. According to the channel quality indication of the user equipment in the weak coverage cell, the service information performed in the weak coverage cell is determined. Adjust the rate threshold of the aggregate maximum bit rate of the weak coverage cell based on the service information of the weak coverage cell. Thereby optimizing the coverage index of the private network community. Further, the low-speed user equipment is determined based on the movement speed and residence time of the user equipment in the weak coverage cell, and the low-speed user equipment is moved out of the first private network. Thus, the user perception of private network users can be improved in a targeted manner.

In another embodiment of the present application, the method of determining low-speed user equipment in a weak coverage cell in the private network cell coverage improvement method of the present application is further described.

First, the moving speed and residence time of the user equipment in the weak coverage cell are input into the random forest algorithm model to obtain the user entropy value.

Among them, the number of decision trees of the random forest algorithm is set to 2. The two parameters of movement speed and dwell time correspond to a decision tree respectively.

The moving speed of the user equipment can be determined through multiple location information of the user equipment within a preset time period. Optionally, the location information of the user device can be collected at preset time intervals. Then, based on the distance and time interval between each location information, the moving speed of the user device is calculated. Wherein, the location information may be latitude and longitude information (x _jτ , y _jτ ). x _jτ is the longitude information of user equipment j at time τ, and y _jτ is the latitude information of user equipment j at time τ.

The distance between two location information can be calculated according to the following formula:

d＝R×arccos[cos y _jτ ×cos y _j(τ+1) ×cos(x _jτ -x _j(τ+1) )+sin y _jτ ×sin y _j(τ+1) ](meter)

Among them, R is the average radius of the earth.

The instantaneous moving speed and average moving speed of the user equipment can be calculated according to the following formulas:

Among them, d _jτ is the moving distance of the user equipment in time τ. T is the sampling time length of position information. t is the total number of position information samples in time T.

The residence time of the user equipment is the length of time between when the user equipment enters the weak coverage cell and when it leaves the cell. Optionally, the residence time can be determined based on the communication duration between the cell and the user equipment.

After the user equipment movement speed and dwell time are determined, the movement speed and dwell time are input into the random forest algorithm model. The random forest algorithm model performs supervised learning on the input data to obtain the user entropy value.

In the embodiment of this application, the random forest algorithm model can be:

Among them, E(τ) is the user entropy value; p is the category discrimination conditional probability; when q is 1, j _q is the moving speed of the user equipment; when q is 2, j _q is the residence time of the user equipment.

Then, based on the obtained user entropy value, the low-speed user equipment in the weak coverage cell is determined.

In some embodiments, a user equipment whose user entropy value is greater than the fourth threshold and less than the fifth threshold may be determined as a low-speed user equipment. Among them, the fourth threshold and the fifth threshold are critical values for judging the user equipment category, which can be obtained by supervised learning using the random forest algorithm.

In other embodiments, when determining the user equipment type based on the user entropy value, it is difficult to accurately determine the user equipment at the critical value. A user equipment with a user entropy value greater than the fourth threshold and less than the fifth threshold may be determined as a candidate low-speed user equipment. User equipment with a user entropy value greater than the fifth threshold is determined to be a high-speed user equipment. Then, the k-means algorithm is used to determine the low-speed user equipment. Specifically, the moving speed and residence time of the candidate low-speed user equipment can be used as the input of the k-means algorithm, and each candidate low-speed user equipment can be represented on the coordinate axis. According to the scattering trend of each candidate low-speed user equipment on the coordinate axis, each candidate low-speed user equipment is clustered. The low-speed user equipment among them is determined based on the clustering results.

In another embodiment of the present application, as shown in Figure 2, after the aforementioned step 104, the private network cell coverage improvement method of the present application further includes:

Step 1041: Increase the third threshold, and re-determine the service type of the weak coverage cell based on the increased third threshold.

In the embodiment of this application, if the service quality of the user equipment in the weak coverage cell is lower than the preset value, one possible situation is that the determination method is unreasonable when determining the type of service performed by the cell.

for example. If the proportion of the small packet service type exceeds the third threshold, that is, 30%, the weak coverage cell is determined to be a small packet service cell. At this time, the service quality of the user equipment in the weak coverage cell is lower than the preset value. This shows that under the AMBR corresponding to the small packet service cell, the service quality of the large packet service and medium packet service in the weak coverage cell is greatly affected. Among them, the service quality may be lower than the preset value and the user complaint rate may be higher than the complaint rate tolerance value. The size of the complaint rate tolerance value can be set according to the needs of the actual situation.

In the embodiment of the present application, in this case, the third threshold can be increased. For example, increase the third threshold value from 30% to 40%. Weak coverage cells with a small packet service type accounting for more than 40% are determined as small packet service cells. At this time, the proportion of large package services and medium package services in the community is further reduced, so that the service quality can be improved.

Figure 3 is a schematic structural diagram of a private network cell coverage improvement device provided by an embodiment of the present application. The private network cell coverage improvement device in this embodiment can be used as a private network cell coverage improvement device to implement the private network cell coverage improvement method provided in the embodiment of the present application. As shown in FIG. 3 , the above private network cell coverage improvement device may include: an acquisition module 31 , a first determination module 32 , a second determination module 33 , an adjustment module 34 and a processing module 35 .

The acquisition module 31 is used to obtain the minimized drive test report of each user equipment.

The first determination module 32 is configured to determine weak coverage cells in the first private network based on the minimized drive test report.

The second determination module 33 is used to determine the service information of the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell.

The adjustment module 34 adjusts the AMBR rate threshold of the weak coverage cell according to the service information.

The processing module 35 determines the low-speed user equipment in the weak coverage cell based on the moving speed and residence time of the user equipment in the weak coverage cell.

The processing module 35 is also configured to move the low-speed user equipment out of the first private network after determining the low-speed user equipment in the weak coverage cell.

In the embodiment of the present application, the first determination module 32 determines the weak coverage cell in the first private network based on the minimized drive test report of the user equipment in the first private network obtained by the acquisition module 31 . The second determination module 33 determines the service information of the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell. The adjustment module 34 adjusts the rate threshold of the aggregate maximum bit rate of the weak coverage cell according to the service information performed by the weak coverage cell. Thereby optimizing the coverage index of the private network community. Further, the processing module 35 determines the low-speed user equipment based on the movement speed and residence time of the user equipment in the weak coverage cell, and moves the low-speed user equipment out of the first private network. Thus, the user perception of private network users can be improved in a targeted manner.

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 4, the electronic device may include at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores program instructions that can be executed by the processor, and the processor can call the program instructions to Execute the private network cell coverage improvement method provided by the embodiment of this application.

The above-mentioned electronic device may be a coverage device of a private network cell, and this embodiment does not limit the specific form of the above-mentioned electronic device.

4 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present application. The electronic device shown in FIG. 4 is only an example and should not impose any restrictions on the functions and usage scope of the embodiments of the present application.

As shown in Figure 4, the electronic device takes the form of a general computing device. The components of the electronic device may include, but are not limited to: one or more processors 410, memory 430, and a communication bus 440 connecting different system components (including memory 430 and processing unit 410).

Communications bus 440 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics accelerated port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to the Industry Standard Architecture (Industry Standard Architecture; hereinafter referred to as: ISA) bus, Micro Channel Architecture (Micro Channel Architecture; hereinafter referred to as: MAC) bus, enhanced ISA bus, and video electronic standards Association (Video Electronics Standards Association; hereafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection; hereafter referred to as: PCI) bus.

Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by an electronic device, including volatile and nonvolatile media, removable and non-removable media.

The memory 430 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter referred to as: RAM) and/or cache memory. Electronic devices may further include other removable/non-removable, volatile/non-volatile computer system storage media. Although not shown in FIG. 4, a disk drive may be provided for reading and writing to removable non-volatile disks (e.g., "floppy disks"), and for removable non-volatile optical disks (e.g., compact disks). A disc drive that reads and writes from Disc Read Only Memory (hereinafter referred to as: CD-ROM), Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM) or other optical media). In these cases, each drive may be connected to communications bus 440 through one or more data media interfaces. The memory 430 may include at least one program product having a set of (eg, at least one) program modules configured to perform the functions of various embodiments of the present application.

A program/utility having a set of (at least one) program modules, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in memory 430 , each of these examples or some combination may include the implementation of a network environment. Program modules typically perform functions and/or methods in the embodiments described herein.

An electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device, and/or with one or more devices that enable the electronic device to Any device (such as a network card, modem, etc.) that can communicate with one or more other computing devices. This communication may occur through communication interface 420. Moreover, the electronic device can also communicate with one or more networks (such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (Wide Area Network; hereinafter referred to as: WAN) and/or through a network adapter (not shown in Figure 4) Public network, such as the Internet), the above-mentioned network adapter can communicate with other modules of the electronic device through the communication bus 440. It should be understood that, although not shown in Figure 4, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, disk arrays (Redundant Arrays) of Independent Drives (hereinafter referred to as: RAID) systems, tape drives and data backup storage systems, etc.

The processor 410 executes various functional applications and data processing by running programs stored in the memory 430, for example, implementing the private network cell coverage improvement method provided in the embodiment of the present application.

Embodiments of the present application also provide a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions. The computer instructions cause the computer to execute the private network cell coverage improvement method provided by the embodiments of the present application.

The above-mentioned non-transitory computer-readable storage medium may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections having one or more conductors, portable computer disks, hard drives, random access memory (RAM), read only memory (Read Only Memory) ;Hereinafter referred to as: ROM), Erasable Programmable Read Only Memory (Erasable Programmable Read Only Memory;hereinafter referred to as: EPROM) or flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device , or any suitable combination of the above. As used herein, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present application may be written in one or more programming languages, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional Procedural programming language - such as "C" or similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network - including a Local Area Network (Local Area Network; hereinafter referred to as: LAN) or a Wide Area Network (hereinafter referred to as: WAN), or can be connected to an external computer (such as using an Internet service provider to connect via the Internet).

In the description of this specification, reference to the terms "one embodiment," "some embodiments," "an example," "specific examples," or "some examples" or the like means that specific features are described in connection with the embodiment or example. , structures, materials or features are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine different embodiments or examples and features of different embodiments or examples described in this specification unless they are inconsistent with each other.

In addition, the terms “first” and “second” are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of this application, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically limited.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments, or portions of code that include one or more executable instructions for implementing customized logical functions or steps of the process. , and the scope of the preferred embodiments of the present application includes additional implementations in which functions may be performed out of the order shown or discussed, including in a substantially simultaneous manner or in the reverse order, depending on the functionality involved, which shall It should be understood by those skilled in the technical field to which the embodiments of this application belong.

It should be noted that the terminals involved in the embodiments of this application may include, but are not limited to, personal computers (Personal Computers; hereinafter referred to as PCs), personal digital assistants (Personal Digital Assistants; hereinafter referred to as PDAs), wireless handheld devices, and tablets. Computers (Tablet Computers), mobile phones, MP3 players, MP4 players, etc.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined. Either it can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

The integrated unit implemented in the form of a software functional unit may be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions to cause a computer device (which can be a personal computer, server, or network device, etc.) or processor (Processor) to execute the methods described in various embodiments of this application. Some steps. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-OnlyMemory; hereafter referred to as: ROM), random access memory (Random Access Memory; hereafter referred to as: RAM), magnetic disks or optical disks, etc. The medium on which program code is stored.

The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the present application. within the scope of protection.

Claims (8)

1. A method for improving private network cell coverage, which is characterized by including: Obtain the minimized drive test report of each user equipment; the user equipment is a user equipment connected to the first private network; Determine weak coverage cells in the first private network according to the minimized drive test report; Determine the service information performed by the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell; According to the service information, adjust the aggregate maximum bit rate AMBR rate threshold of the weak coverage cell; Determine the low-speed user equipment in the weak coverage cell according to the moving speed and residence time of the user equipment in the weak coverage cell; Move the low-speed user equipment out of the first private network; Wherein, determining the service information performed by the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell includes: Determine the service type performed by each user equipment according to the channel quality indication of each user equipment accessed by the weak coverage cell; According to the service type performed by each user equipment, determine the service type whose proportion in the weak coverage cell exceeds the third threshold; Determine the service type performed by the weak coverage cell according to the service types whose proportion exceeds the third threshold; According to the service information, adjusting the AMBR rate threshold of the weak coverage cell includes: Determine the rate baseline of the weak coverage cell according to the type of service carried out by the weak coverage cell; The rate baseline is determined as the AMBR rate threshold of the weak coverage cell. 2. The method according to claim 1, characterized in that, according to the minimized drive test report, determining the weak coverage cell in the first private network includes: Determine the reference signal received power of each user equipment according to the minimized drive test report; Determine the user equipment whose reference signal received power is less than the first threshold as a weakly covered user equipment; If the ratio of the number of weakly covered user equipments in the cell to the total number of user equipments accessed by the cell is higher than the second threshold, the cell is determined to be a weakly covered cell. 3. The method according to claim 1, characterized in that after adjusting the AMBR rate threshold of the weak coverage cell, the method further includes: If the service quality of the user equipment in the weak coverage cell is lower than the preset value, increase the third threshold; According to the increased third threshold, the service type performed by the weak coverage cell is re-determined. 4. The method according to claim 1, characterized in that determining the low-speed user equipment in the weak coverage cell according to the moving speed and residence time of the user equipment in the weak coverage cell includes: Enter the moving speed and dwell time of the user equipment in the weak coverage cell into the random forest algorithm model to obtain the user entropy value; Determine low-speed user equipment in the weak coverage cell according to the user entropy value; The random forest algorithm model is: Among them, E(τ) is the user entropy value; p is the category discrimination conditional probability; when q is 1, j _q is the moving speed of the user equipment; when q is 2, j _q is the residence time of the user equipment. 5. The method according to claim 4, characterized in that determining the low-speed user equipment in the weak coverage cell according to the user entropy value includes: Determine the user equipment whose user entropy value is greater than the fourth threshold and less than the fifth threshold as a candidate low-speed user equipment; Determine the user equipment with a user entropy value greater than the fifth threshold as a high-speed user equipment; The k-means algorithm is used to cluster the candidate low-speed user equipment according to the moving speed and residence time of the user equipment; the low-speed user equipment in the weak coverage cell is determined according to the clustering result. 6. A coverage improvement device for a private network community, which is characterized in that it includes: The acquisition module is used to obtain the minimized drive test report of each user equipment; the user equipment is the user equipment connected to the first private network; A first determination module, configured to determine weak coverage cells in the first private network based on the minimized drive test report; A second determination module, configured to determine the service information of the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell; The adjustment module adjusts the rate threshold of the aggregate maximum bit rate of the weak coverage cell according to the service information; A processing module that determines the low-speed user equipment in the weak coverage cell based on the movement speed and residence time of the user equipment in the weak coverage cell; After determining the low-speed user equipment in the weak coverage cell, the processing module is further configured to move the low-speed user equipment out of the first private network; Wherein, determining the service information performed by the weak coverage cell according to the channel quality indication of the user equipment in the weak coverage cell includes: Determine the service type performed by each user equipment according to the channel quality indication of each user equipment accessed by the weak coverage cell; According to the service type performed by each user equipment, determine the service type whose proportion in the weak coverage cell exceeds the third threshold; Determine the service type performed by the weak coverage cell according to the service types whose proportion exceeds the third threshold; According to the service information, adjusting the AMBR rate threshold of the weak coverage cell includes: Determine the rate baseline of the weak coverage cell according to the type of service carried out by the weak coverage cell; The rate baseline is determined as the AMBR rate threshold of the weak coverage cell. 7. An electronic device, characterized in that it includes: at least one processor; and at least one memory communicatively connected to the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor can execute the method according to any one of claims 1 to 5 by calling the program instructions. 8. A non-transitory computer-readable storage medium, characterized in that the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute as described in any one of claims 1 to 5 Methods.