CN115396907A

CN115396907A - Method and device for determining optimized cell and storage medium

Info

Publication number: CN115396907A
Application number: CN202210994422.XA
Authority: CN
Inventors: 雷景智; 王岩; 汪洲燕; 陆帅衡; 刘须杰; 赵春雷
Original assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Current assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Priority date: 2022-08-18
Filing date: 2022-08-18
Publication date: 2022-11-25
Anticipated expiration: 2042-08-18
Also published as: CN115396907B

Abstract

The application provides a method, a device and a storage medium for determining an optimized cell, relates to the technical field of communication, and is used for reasonably optimizing the cell and reducing the cost of an operator. The method comprises the following steps: acquiring cell information of each cell in a plurality of cells, wherein the cell information comprises: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. And determining the network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage mode of each cell. And determining the service evaluation information of each cell according to the service information of each cell. And determining the optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell. And determining a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold.

Description

Method, device and storage medium for determining optimized cell

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, and a storage medium for determining an optimized cell.

Background

With the development of the internet, network coverage gradually becomes a core problem concerned in the planning construction and operation optimization stages of the mobile communication network. In the process of network coverage, it is usually necessary to determine a network coverage area (e.g., an area where a wireless network signal is unstable, a network coverage signal is weak, and no signal exists) to optimize the network coverage area.

In order to optimize areas of network coverage aberrations, it is often necessary to add network equipment (e.g., base stations) in some areas. However, adding network equipment increases the cost to the operator. If there are a large number of areas requiring additional network devices, the cost of operators is stressed. Therefore, how to reasonably optimize the cells and reduce the cost of the operators becomes a problem to be solved urgently.

Disclosure of Invention

The application provides a method, a device and a storage medium for determining an optimized cell, which are used for reasonably optimizing the cell and reducing the cost of an operator.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, the present application provides a method for determining an optimized cell. In the method, a determining device for an optimized cell (which may be simply referred to as a "determining device") acquires cell information of each of a plurality of cells, where the cell information includes: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. Then, the determining means may determine the network evaluation information of each cell based on the wireless network quality of each grid of each cell and the network coverage of each cell. The determining means may determine the service evaluation information of each cell based on the service information of each cell. Then, the determining means may determine the optimization priority of each cell based on the network evaluation information of each cell and the service evaluation information of each cell. The determining device may determine the target optimized cell according to the optimized priority of each cell, where the optimized priority of the target optimized cell is greater than a preset priority threshold.

Optionally, the method for determining the network evaluation information of each cell according to the quality of the wireless network of each grid of each cell and the network coverage mode of each cell includes: determining network evaluation information for each cell according to a first operation comprising: the determining device may determine a first ratio according to the wireless network quality of each grid in a first cell, where the first cell is any one of a plurality of cells, the first ratio is a ratio between the number of first type grids in the first cell and the number of all grids in the first cell, and the first type grid is a grid whose wireless network quality is greater than a preset wireless network quality threshold. Then, the determining device may determine the first network coverage information according to the network coverage of the first cell and a first corresponding relationship, where the first corresponding relationship is a relationship between the network coverage and the network coverage information. The determining means may then determine network evaluation information for the first cell based on the first ratio and the first network coverage information.

Optionally, the service information includes: service generation times, service data volume and service income resources. The method for determining service evaluation information of each cell according to the service information of each cell includes: the determining means may determine the service evaluation information of each cell according to a second operation including: the determining means may determine a second ratio of the first cell, the second ratio being a ratio between a sum of the number of times of service generation of the plurality of cells and the number of times of service generation of the first cell. The determining means may determine a third ratio of the first cell, the third ratio being a ratio between a sum of the traffic data amounts of the plurality of cells and the traffic data amount of the first cell. The determining means may determine a fourth ratio for the first cell, the fourth ratio being a ratio between a sum of the traffic revenue resources of the plurality of cells and the traffic revenue resource of the first cell. Then, the determining device may determine the service evaluation information of the first cell according to the second ratio, the third ratio and the fourth ratio.

Optionally, the wireless network includes networks of multiple network types, and the first ratio includes: and a fifth ratio is a ratio between the number of the first type grids of one network type in the first cell and the number of all grids in the first cell.

In a second aspect, the present application provides an apparatus for determining an optimized cell, which includes an obtaining module and a processing module.

An obtaining module, configured to obtain cell information of each cell in a plurality of cells, where the cell information includes: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. And the processing module is used for determining the network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage mode of each cell. And the processing module is also used for determining the service evaluation information of each cell according to the service information of each cell. And then, the processing module is further configured to determine an optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell. And the processing module is also used for determining a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold.

Optionally, the processing module is specifically configured to determine the network evaluation information of each cell according to a first operation, where the first operation includes: the processing module is further configured to determine a first ratio according to the wireless network quality of each grid in a first cell, where the first cell is any one of the cells, the first ratio is a ratio between the number of first-type grids in the first cell and the number of all grids in the first cell, and the first-type grids are grids with a wireless network quality greater than a preset wireless network quality threshold. The processing module is further configured to determine first network coverage information according to the network coverage of the first cell and a first corresponding relationship, where the first corresponding relationship is a relationship between the network coverage and the network coverage information. And then, the processing module is further configured to determine network evaluation information of the first cell according to the first ratio and the first network coverage information.

Optionally, the processing module is specifically configured to determine service evaluation information of each cell according to a second operation, where the second operation includes: the processing module is further configured to determine a second ratio of the first cell, where the second ratio is a ratio between a sum of the service generation times of the multiple cells and the service generation time of the first cell. The processing module is further configured to determine a third ratio of the first cell, where the third ratio is a ratio between a sum of the service data amounts of the multiple cells and the service data amount of the first cell. The processing module is further configured to determine a fourth ratio of the first cell, where the fourth ratio is a ratio between a sum of the service income resources of the plurality of cells and the service income resource of the first cell. And then, the processing module is further configured to determine the service evaluation information of the first cell according to the second ratio, the third ratio and the fourth ratio.

In a third aspect, the present application provides an apparatus for determining an optimized cell, where the apparatus includes: a processor and a memory. A processor and a memory are coupled. The memory is used for storing one or more programs, the one or more programs comprising computer executable instructions, which when executed by the determination means of the optimized cell, are executed by the processor to implement the determination method of the optimized cell as described in the first aspect and any one of the possible implementations of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions are stored, and when the instructions are executed on a computer, the instructions cause the computer to perform the method for determining an optimized cell described in the first aspect and any one of the possible implementation manners of the first aspect.

In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, causes a computer to implement the method of determining an optimized cell as described in the first aspect and any one of the possible implementations of the first aspect.

In the foregoing solution, for technical problems that can be solved by the determination apparatus, the computer device, the computer storage medium, or the computer program product for optimizing a cell and technical effects that can be achieved by the determination apparatus for optimizing a cell, reference may be made to the technical problems and technical effects that are solved by the first aspect, and details are not described herein again.

The technical scheme provided by the application at least brings the following beneficial effects: the server may obtain cell information of each of the plurality of cells, the cell information including: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. Then, the server may determine the network evaluation information of each cell according to the quality of the wireless network of each grid of each cell and the network coverage of each cell. That is, the server may evaluate the network of the cell and determine the network evaluation information according to the wireless network quality of the cell and the wired network quality of the cell. The server may determine the service evaluation information of each cell according to the service information of each cell. The server may then determine an optimization priority for each cell based on the network evaluation information for each cell and the traffic evaluation information for each cell. The server can determine a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold. Therefore, the operator can complement the network resources only for the target optimization cell, the network construction utilization rate of the operator can be guaranteed to the maximum extent, and the cost can be reduced.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.

FIG. 1 is a schematic diagram illustrating the structure of a server in accordance with an exemplary embodiment;

FIG. 2 is a flow chart illustrating a method of determining an optimized cell in accordance with an exemplary embodiment;

FIG. 3 is a flow chart illustrating another method of determining an optimized cell in accordance with an exemplary embodiment;

FIG. 4 is a flow chart illustrating another method of determining an optimized cell in accordance with an exemplary embodiment;

fig. 5 is a block diagram illustrating an exemplary cell optimizing determination apparatus according to an exemplary embodiment;

fig. 6 is a schematic structural diagram illustrating an apparatus for determining an optimized cell according to an exemplary embodiment;

FIG. 7 is a conceptual partial view of a computer program product shown in accordance with an example embodiment.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship. For example, A/B may be understood as either A or B.

The terms "first" and "second" in the description and claims of the present application are used to distinguish between different objects, and are not used to describe a particular order of objects.

Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.

In addition, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "such as" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts in a concrete fashion.

For the sake of understanding, the following description will be made of terms related to the embodiments of the present application.

The grid is a grid obtained by dividing an area into a plurality of cells, each cell being a grid, according to the distribution of each area (for example, province, city, district, etc.) in a map.

Before describing the method for determining an optimized cell in the embodiment of the present application in detail, an implementation environment and an application scenario of the embodiment of the present application are described first.

With the development of the internet, the demand of users on the network is higher and higher, and operators need to strengthen the existing network resources to meet the demand of users. Before existing network resources are enhanced, it is usually necessary to determine a network coverage outage area and then add a network device in the network coverage outage area. However, adding network equipment increases the cost to the operator. If there are a large number of areas requiring additional network devices, the cost of operators is stressed. Therefore, how to reasonably optimize the cells and reduce the cost of operators becomes a problem to be solved urgently.

In order to solve the foregoing problem, an embodiment of the present application provides a method for determining an optimized cell, where a server may obtain cell information of each cell in a plurality of cells, where the cell information includes: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. Then, the server may determine the network evaluation information of each cell according to the quality of the wireless network of each grid in each cell and the network coverage of each cell. The server may determine the service evaluation information of each cell according to the service information of each cell. Then, the server may determine an optimization priority for each cell based on the network evaluation information for each cell and the service evaluation information for each cell. And then, the server determines a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold. Therefore, the operator can complement the network resources only for the target optimization cell, the network construction utilization rate of the operator can be guaranteed to the maximum extent, and the cost can be reduced.

The following describes an implementation environment of embodiments of the present application.

Fig. 1 is a schematic structural diagram of a server to which the method provided by the present disclosure is applied according to an embodiment of the present disclosure. The server 10 includes a processor 101 and a memory 102.

The processor 101 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 101 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. Wherein, the different processing units may be independent devices or may be integrated in one or more processors.

Memory 102 may include one or more computer-readable storage media, which may be non-transitory. Memory 102 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In an implementable manner, the non-transitory computer readable storage medium in the memory 102 is configured to store at least one instruction for execution by the processor 101 to implement the method of determining an optimized cell provided by the method embodiments of the present disclosure.

In an implementation manner, the server 10 may further include: a peripheral interface 103 and at least one peripheral. The processor 101, memory 102, and peripheral interface 103 may be connected by buses or signal lines. Various peripheral devices may be connected to peripheral interface 103 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 104, display screen 105, camera assembly 106, audio circuitry 107, positioning assembly 108, and power supply 109.

The peripheral interface 103 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 101 and the memory 102. In one implementable manner, the processor 101, memory 102, and peripheral interface 103 are integrated on the same chip or circuit board; in some other embodiments, any one or both of the processor 101, the memory 102, and the peripheral interface 103 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 104 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 104 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 104 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 104 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 104 may communicate with other servers via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or Wi-Fi (Wireless Fidelity) networks. In an implementation manner, the radio frequency circuit 104 may further include a circuit related to NFC (Near Field Communication), which is not limited in this disclosure.

The display screen 105 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 105 is a touch display screen, the display screen 105 also has the ability to capture touch signals on or over the surface of the display screen 105. The touch signal may be input to the processor 101 as a control signal for processing. At this point, the display screen 105 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In an implementable manner, the display screen 105 may be one, provided with the front panel of the server 10; the Display 105 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

The camera assembly 106 is used to capture images or video. Optionally, the camera assembly 106 includes a front camera and a rear camera. Generally, the front camera is disposed on the front panel of the server, and the rear camera is disposed on the back of the server. Audio circuitry 107 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals into the processor 101 for processing or inputting the electric signals into the radio frequency circuit 104 to realize voice communication. The microphones may be plural and provided at different portions of the server 10 for the purpose of stereo sound collection or noise reduction. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 101 or the radio frequency circuit 104 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In one implementable manner, audio circuitry 107 may also include a headphone jack.

The positioning component 108 is used to locate the current geographic Location of the server 10 to implement navigation or LBS (Location Based Service). The Positioning component 108 may be a Positioning component based on the united states GPS (Global Positioning System), the chinese beidou System, the russian graves System, or the european union's galileo System.

The power supply 109 is used to supply power to the various components in the server 10. The power source 109 may be alternating current, direct current, disposable or rechargeable. When power source 109 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery can also be used to support fast charge technology.

In one implementation, the server 10 further includes one or more sensors 1010. The one or more sensors 1010 include, but are not limited to: acceleration sensors, gyroscope sensors, pressure sensors, fingerprint sensors, optical sensors, and proximity sensors.

The acceleration sensor may detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the server 10. The gyro sensor can detect the body direction and the rotation angle of the server 10, and the gyro sensor can cooperate with the acceleration sensor to acquire the 3D motion of the user to the server 10. The pressure sensors may be located on the side frame of the server 10 and/or underneath the display screen 105. When the pressure sensor is provided in the side frame of the server 10, a user's holding signal to the server 10 can be detected. The fingerprint sensor is used for collecting fingerprints of users. The optical sensor is used for collecting the intensity of ambient light. Proximity sensors, also known as distance sensors, are typically provided on the front panel of the server 10. The proximity sensor is used to collect the distance between the user and the front of the server 10.

The execution subject of the determination method of the optimized cell provided by the present disclosure may be a determination device of the optimized cell, and the execution device may be a server shown in fig. 1. Meanwhile, the execution device may also be a Central Processing Unit (CPU) of the server, or a control module for Processing data in the server. In the embodiment of the present application, a method for determining an optimized cell performed by a server is taken as an example to describe the method for determining an optimized cell provided in the embodiment of the present application.

In one implementable manner, the server is used to provide voice and/or data connectivity services to the user. Servers may be referred to by different names, such as UE side, terminal unit, terminal station, mobile station, remote terminal, mobile device, wireless communication device, vehicular user equipment, terminal agent, or terminal device, etc.

Optionally, the server may be various handheld devices, vehicle-mounted devices, wearable devices, and computers with communication functions, which is not limited in this respect in this disclosure. For example, the handheld device may be a smartphone. The in-vehicle device may be an in-vehicle navigation system. The wearable device may be a smart bracelet. The computer may be a Personal Digital Assistant (PDA) computer, a tablet computer, and a laptop computer.

The embodiments of the present application will be described in detail below with reference to the drawings attached to the specification.

As shown in fig. 2, a method for determining an optimized cell provided in an embodiment of the present application includes:

s201, a server acquires cell information of each cell in a plurality of cells.

Wherein the cell information includes: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell.

Optionally, the cell information may further include: cell identification, cell location information, and cell fence information. Here, the location information of the cell may be represented by a longitude of a center point of the cell (simply referred to as a center longitude) and a latitude of the center point (simply referred to as a center latitude). The fence information of a cell may be represented by a set of latitudes and longitudes of points of a closed curve constituting a cell boundary.

For example, if the closed curve of the cell boundary is formed by four edges, the four points corresponding to the four edges and the longitude and latitude of each point are respectively: a (106 ° 55'E,52 ° 40' N), B (106 ° 73'E,44 ° 33' N), C (106 ° 55'E,44 ° 33' N), D (106 ° 73'E,52 ° 40' N), and cell fence information may be (106 ° 55 'E52 ° 40' N,106 ° 73 'E44 ° 33' N,106 ° 55 'E44 ° 55' N,106 ° 55 'E44 ° 33' 44 'N,106 ° 73' E52 '40' N.

In some embodiments, the server may determine the grid corresponding to the cell according to the location of the grid and the location of the cell. The server may acquire location information of a plurality of grids and fence information of each cell. Wherein the location information of the grid may be represented by a center longitude and a center latitude of the grid.

It should be noted that, in general, the grid may be divided into squares with sides of N meters, where N is a positive integer. For the description of the grid in particular, reference may be made to the description of the grid in the conventional art, which is not described herein in detail. In addition, the embodiment of the present application does not limit the manner of acquiring the position information of the grid. For example, the server may acquire location information of the grid through a network.

For example, the plurality of grids may include a first grid, a second grid, and a third grid. Wherein the position information of the first grid is (116 DEG 46'E,40 DEG 13' N), the position information of the second grid is (116 DEG 26'E,40 DEG 33' N), and the position information of the third grid is (116 DEG 16'E,40 DEG 13' N).

Then, the server may determine a grid corresponding to each cell according to the location information of the multiple grids and the fence information of each cell. Specifically, the server may determine a grid corresponding to each cell according to the third operation. The third operation includes: the server may determine whether the first grid is within the range of the first cell according to the location information of the first grid and the fence information of the first cell. The first grid is any one of a plurality of grids, and the first cell is any one of a plurality of cells. If the first grid is within the range of the first cell, the server determines that the first grid is the grid corresponding to the first cell.

It should be noted that, in the embodiment of the present application, for grids corresponding to multiple cells, the server may determine, according to the third operation, a grid corresponding to each cell. That is, the server may perform the third operation on each of the plurality of cells, determine a grid corresponding to each cell, and thus the server may determine a grid corresponding to the plurality of cells.

For example, if the position information of grid a is (116 ° 46'e,40 ° 13' n), the position information of grid b is (116 ° 56'e,40 ° 40' n), the position information of grid c is (116 ° 50'e,40 ° 36' n), and the fence information of the first cell is: (116 ° 46 'E40 ° 53' N,116 ° 66 'E40 ° 53' N,116 ° 46 'E40 ° 33' N,116 ° 66 'E40 ° 33' N). The grid corresponding to the first cell includes grid b and grid c.

It should be noted that, in the embodiment of the present application, the server is not limited to acquire the cell information of each of the multiple cells. For example, the server may obtain O-domain data, which includes the quality of the wireless network for each grid in the cell, and the network coverage of the cell. The server may obtain B-domain data, which includes service information of the cell.

S202, the server determines network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage mode of each cell.

In the embodiments of the present application, the network coverage method is not limited. For example, the network coverage may be FTTH coverage. For another example, the network coverage mode may be FTTB coverage. Also for example, the network coverage mode may be uncovered.

In one possible implementation, the server may determine the number of first type grids for each cell based on the wireless network quality of each grid for each of the plurality of cells. The first type of grid is a grid with the quality of a wireless network larger than a preset wireless network quality threshold.

Illustratively, suppose the multiple grids of the first cell and the radio network quality of each grid are: the wireless network quality of grid a is 95%, the wireless network quality of grid b is 85%, and the wireless network quality of grid c is 60%. The first cell is any one of a plurality of cells. If the preset wireless network quality threshold is 80%, the grids a and b are first type grids, and the number of the first type grids is 2.

Then, the server may determine information corresponding to the network coverage mode of each cell according to the network coverage mode of each cell in the multiple cells. Then, the server may determine the network evaluation information of each cell according to the number of the first type grids of each cell and the information corresponding to the network coverage mode of each cell.

Illustratively, the number of first type grids is 2, provided that the number of total grids of the first cell is 4. If the coverage of the first cell is FTTH coverage, the information corresponding to the network coverage of the first cell is 0.7. The network evaluation information of the first cell is 1.2.

It should be noted that, in the embodiment of the present application, the relationship between the quality of the wireless network and the network evaluation information is not limited. For example, the wireless network quality may be proportional to the network evaluation information. That is, the better the quality of the wireless network, the larger the network evaluation information; the worse the quality of the wireless network, the smaller the network evaluation information. As another example, the wireless network quality may be inversely proportional to the network evaluation information. That is, the better the quality of the wireless network, the smaller the network evaluation information; the worse the wireless network quality, the larger the network evaluation information.

S203, the server determines the service evaluation information of each cell according to the service information of each cell.

The service information may include: service generation times, service data volume and service income resources. The service generation times are the call times of the user, the data volume of the service is the flow used by the user, and the service income resource is the fee paid by the user to the operator.

It should be noted that, in the embodiment of the present application, the service evaluation information is used to reflect the importance degree of the service of the cell to the operator. That is, the higher the importance of the service of a cell to an operator, the more optimization the cell needs to be. The less important the service of a cell is to an operator, the less optimization the cell needs to be.

In a possible implementation manner, the server may determine the service evaluation information of each cell according to the service generation times, the service data amount, the service income resources of each cell and the weight corresponding to each service information.

Illustratively, if the number of times of service generation of the first cell is 10, the amount of service data is 20, and the amount of service income resources is 30, the weight corresponding to the number of times of service generation is 20%, the weight corresponding to the amount of service data is 35%, and the weight corresponding to the amount of service income resources is 45%. The traffic assessment information of the first cell is 22.5.

It should be noted that, in the embodiment of the present application, the relationship between the service information and the service evaluation information is not limited. For example, the traffic information and the traffic assessment information may be proportional. That is, the larger the service information, the larger the service evaluation information; the smaller the service information, the smaller the service evaluation information. As another example, the traffic information and the traffic assessment information may be inversely proportional. That is, the larger the service information is, the smaller the service evaluation information is; the smaller the service information, the larger the service evaluation information.

S204, the server determines the optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell.

In one possible implementation, the server may determine the target evaluation information of each cell according to the network evaluation information of each cell and the service evaluation information of each cell.

It should be noted that, in the embodiment of the present application, the relationship between the network evaluation information and the target evaluation information is not limited. For example, the network evaluation information and the target evaluation information may be proportional. That is, the larger the network evaluation information is, the larger the target evaluation information is; the smaller the network evaluation information, the smaller the target evaluation information. As another example, the network evaluation information and the target evaluation information may be inversely proportional. That is, the larger the network evaluation information is, the smaller the target evaluation information is; the smaller the network evaluation information is, the larger the target evaluation information is.

In one possible design, the server may determine the target evaluation information for each cell through a fourth operation. The fourth operation may include:

the server may determine the target evaluation information of the first cell according to the network evaluation information, the service evaluation information, the fourth preset weight value, and the fifth preset weight value of the first cell. The target evaluation information of the first cell may be expressed by formula one.

Y＝S×x ₁ +T×x ₂ And (4) a formula I.

Wherein Y is used to represent target evaluation information of the first cell, S is used to represent network evaluation information of the first cell, x ₁ For representing a fourth preset weight value, T for representing service evaluation information of the first cell, x ₂ For representing a fifth preset weight value.

It should be noted that, in the embodiment of the present application, the fourth preset weight value and the fifth preset weight value are not limited. The operator may set the fourth preset weight value and the fifth preset weight value according to the analysis purpose. For example, if the analysis is for the network, the operator may set the fourth predetermined weighting value to 60% and the fifth predetermined weighting value to 40%.

Illustratively, if the fourth predetermined weight value is 65%, the fifth predetermined weight value is 35%. If the network evaluation information of the first cell is 6/5 and the service evaluation information of the first cell is 3/10, the target evaluation information of the first cell is 0.885.

It should be noted that, in the embodiment of the present application, for the target evaluation information of multiple cells, the server may determine the target evaluation information of each cell according to the fourth operation. That is, the server may perform the fourth operation for each of the plurality of cells, and determine target evaluation information for each cell.

The server may then determine an optimization priority for each cell based on the target evaluation information for each cell. Specifically, the server may rank the multiple cells in order according to the target evaluation information of each cell, and determine the optimization priority of each cell.

In the embodiments of the present application, the ordering manner is not limited. For example, the sorting may be from small to large. For another example, the sorting may be from large to small.

In one possible design, the server may rank each cell in order from large to small, determining the optimal priority for each cell. Wherein the target evaluation information is proportional to the optimization priority. That is, the larger the target evaluation information is, the higher the optimization priority is; the smaller the target evaluation information is, the lower the optimization priority is.

In another possible design, the server may rank in order from small to large, determining the optimal priority for each cell. Wherein the target evaluation information is inversely proportional to the optimization priority. That is, the smaller the target evaluation information is, the higher the optimization priority is; the larger the target evaluation information is, the lower the optimization priority is.

S205, the server determines a target optimization cell according to the optimization priority of each cell.

And the optimization priority of the target optimization cell is greater than a preset priority threshold.

It should be noted that the target optimization cell is a cell for network resource replenishment of an operator. That is, after a cell is determined to be a target optimization cell, the operator may enhance network resources of the cell (e.g., add network equipment or replace network equipment).

In a possible implementation manner, the server may compare the priority of each cell with a preset priority threshold, and determine a cell with a priority greater than or equal to the preset priority threshold as the target optimized cell.

For example, if the preset priority threshold is the third priority, the cells with the priorities of the first priority, the second priority and the third priority are all the target optimization cells.

It should be noted that, in the case that the cost that the operator can support is higher, the preset priority threshold may be lower. Therefore, network resources of more cells can be complemented to improve the use experience of the user. The preset priority threshold may be higher where the cost that the operator can support is lower. Therefore, only the network resource of the cell with lower target evaluation information can be constructed, and the cost is reduced.

It is understood that the server may obtain cell information of each of the plurality of cells, the cell information including: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. Then, the server may determine the network evaluation information of each cell according to the quality of the wireless network of each grid of each cell and the network coverage of each cell. That is, the server may evaluate the network of the cell and determine the network evaluation information according to the wireless network quality of the cell and the wired network quality of the cell. The server may determine the service evaluation information of each cell according to the service information of each cell. Then, the server may determine the optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell. The server can determine a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold. Therefore, the operator only complements the network resources to the target optimization cell, the network construction utilization rate of the operator can be guaranteed to the maximum extent, and the cost can be reduced.

In some embodiments, as shown in FIG. 3, S202 may include S301-S303.

S301, the server determines a first ratio according to the wireless network quality of each grid in the first cell.

The first cell is any one of a plurality of cells, the first ratio is the ratio between the number of first type grids in the first cell and the number of all grids in the first cell, and the first type grids are grids with the wireless network quality larger than a preset wireless network quality threshold value.

In one possible implementation, the server may determine whether the plurality of grids of the first cell are grids of the first type according to signal strength in the first cell.

In one possible design, the server may determine whether the plurality of grids in the first cell are first type grids through a fifth operation. Wherein the fifth operation may include:

the server may obtain signal strengths of a plurality of sampling points of a first grid in the first cell, the first grid being any one of a plurality of grids of the first cell. Then, the server can determine the number of the standard-reaching sampling points according to the signal strength of the plurality of sampling points and a preset signal strength threshold value. And the standard-reaching sampling points are sampling points with signal intensity larger than a preset signal intensity threshold value. Then, the server may determine a sixth ratio according to the number of the qualified samples and the number of the plurality of samples of the first grid, where the sixth ratio is a ratio between the number of the qualified samples and the number of the plurality of samples of the first grid, and the sixth ratio is used to reflect the quality of the wireless network of the first grid. Then, the server may determine whether the first grid is the first type grid according to the sixth ratio and a preset wireless network quality threshold.

In the embodiments of the present application, the signal strength is not limited. For example, the Signal strength may be a Reference Signal Receiving Power (RSRP). For another example, the Signal Strength may be Received Signal Strength Indicator (RSSI). Also for example, the Signal strength may be an LTE Reference Signal Reception Quality (RSRQ).

For example, if the signal strength is RSRP, the predetermined signal strength threshold is a predetermined RSRP threshold. If the RSRP of the plurality of samples and each sample of the first grid is: the RSRP at sample point A is-100 dBm, the RSRP at sample point B is-105 dBm, and the RSRP at sample point C is-111 dBm. If the predetermined RSRP threshold is-110 dBm, the qualifying samples are sample A and sample B. The server may determine that the number of qualifying sample points is 2 and the sixth ratio is 2/3. If the predetermined wireless network quality threshold is 80%, the first grid is not the first type of grid. If the predetermined wireless network quality threshold is 60%, the first grid is the first type grid.

It should be noted that, in the embodiment of the present application, for the wireless network quality of multiple grids of the first cell, the server may determine whether each grid is a grid of the first type according to a fifth operation. That is, the server may perform the fifth operation on each of the plurality of grids, and determine whether each grid in the first cell is the first type grid.

The server may then determine the number of first type grids in the first cell. The server may then determine a first ratio based on the number of first type grids and the number of total grids in the first cell.

In one possible design, the first ratio may be represented by equation two.

Wherein M is used to represent the first ratio, a is used to represent the number of first type grids in the first cell, and B is used to represent the number of total grids in the first cell.

S302, the server determines first network coverage information according to the network coverage mode of the first cell and the first corresponding relation.

Wherein, the first corresponding relation is the relation between the network coverage mode and the network coverage information.

In one possible implementation, the server stores the first corresponding relationship. After the server obtains the network coverage of the first cell, the server may determine the first network coverage information according to the network coverage of the first cell and the first corresponding relationship.

Illustratively, as shown in table 1, a first correspondence is shown.

TABLE 1 first correspondence

Network overlay mode	Network coverage information
		FTTH overlay	k ₁
FTTB overlay	k ₂
		Is not covered with	k ₃

That is, when the network coverage scheme is FTTH coverage, the network coverage information is k ₁ . When the network coverage mode is FTTB coverage, the network coverage information is k ₂ . When the network coverage mode is uncovered, the network coverage information is k ₃ 。

Exemplary, in conjunction with Table 1, suppose k ₁ Is 100%, k ₂ 60% of k ₃ Is 0%. If the network coverage of the first cell is FTTH coverage, the network coverage information is 100%. If the network coverage of the first cell is FTTB coverage, the network coverage information is 60%. If the network coverage of the first cell is not covered, the network coverage information is 0%.

Note that, in the embodiment of the present application, the network coverage information (k) is set ₁ 、k ₂ And k ₃ ) And are not limited. For example, the network coverage information may include: k is a radical of formula ₁ Is 100%, k ₂ Is 60%, k ₃ Is 0%. As another example, the network coverage information may include: k is a radical of formula ₁ Is 50%, k ₂ Is 80%, k ₃ The content was 20%. As another example, the network coverage information may include: k is a radical of formula ₁ Is 30%, k ₂ Is 65%, k ₃ The content was 90%.

In one possible design, the network coverage information of the first cell may be represented by equation three.

N＝F ₁ ×k ₁ +F ₂ ×k ₂ +F ₃ ×k ₃ And (5) a formula III.

Where N is used to represent network coverage information of the first cell, F ₁ For indicating a manner of coverage asFTTH overlay, k ₁ Network coverage information, F, for indicating FTTH coverage correspondences ₂ For indicating that the coverage mode is FTTB coverage, k ₂ Network coverage information for indicating FTTB coverage correspondence, F ₃ For indicating that the coverage mode is uncovered, k ₃ For indicating the corresponding network coverage information of the non-coverage.

It should be noted that, in the embodiment of the present application, one cell includes only one network coverage. If the network coverage of the first cell is FTTH coverage, F ₁ Has a value of 1,F ₂ And F ₃ All values of (A) are 0. If the network coverage mode of the first cell is FTTB coverage, F ₂ Has a value of 1,F ₁ And F ₃ All values of (A) are 0. If the network coverage of the first cell is uncovered, F ₃ Has a value of 1,F ₁ And F ₂ All values of (b) are 0.

S303, the server determines the network evaluation information of the first cell according to the first ratio and the first network coverage information.

In one possible design, the network evaluation information of the first cell may be represented by equation four.

S = M + N formula four.

Wherein, S is used to represent the network evaluation information of the first cell, M is used to represent the first ratio, and N is used to represent the first network coverage information.

It should be noted that, in the embodiment of the present application, for the network evaluation information of multiple cells, the server may determine the network evaluation information of each cell according to the first operation (i.e., S301, S302, and S303). That is, the server may perform S301, S302, and S303 for each of a plurality of cells, and determine network evaluation information for each cell.

It will be appreciated that the server may determine the network evaluation information for each cell based on a first operation, which may include: the server may determine a first ratio according to the wireless network quality of each grid in a first cell, where the first cell is any one of a plurality of cells, the first ratio is a ratio between the number of first type grids in the first cell and the number of all grids in the first cell, and the first type grids are grids whose wireless network quality is greater than a preset wireless network quality threshold. That is, the server may determine whether each grid is a first type grid according to the wireless network quality of each grid in the first cell, and then, the server may determine the number of first type grids, thereby determining the first ratio. Then, the server may determine the first network coverage information according to the network coverage of the first cell and a first corresponding relationship, where the first corresponding relationship is a relationship between the network coverage and the network coverage information. The server may then determine network evaluation information for the first cell based on the first ratio and the first network coverage information. That is, the server may determine the network evaluation information of the first cell according to the wireless network quality of the first cell and the network coverage of the first cell. Thereafter, the server may determine network evaluation information for the plurality of cells according to the first operation. That is, the server may perform the first operation for each of the plurality of cells, determining network evaluation information for each cell.

In some embodiments, as shown in FIG. 4, S203 may include S401-S404.

S401, the server determines a second ratio of the first cell.

And the second ratio is the ratio between the sum of the service generation times of the plurality of cells and the service generation time of the first cell.

In a possible implementation manner, the server may determine the second ratio according to a sum of the service generation times of the plurality of cells and the service generation time of the first cell.

In one possible design, the second ratio may be represented by equation five.

Wherein, P ₁ For indicating the second ratio, G for indicating the number of times of service generation of the first cell, and H for indicating the sum of the number of times of service generation of the plurality of cells.

S402, the server determines a third ratio of the first cell.

Wherein the third ratio is a ratio between a sum of the traffic data amounts of the plurality of cells and the traffic data amount of the first cell.

In a possible implementation manner, the server may determine the third ratio according to a sum of the traffic data amounts of the multiple cells and the traffic data amount of the first cell.

In one possible design, the third ratio may be represented by equation six.

Wherein, P ₂ For representing the third ratio, I for representing the traffic data amount of the first cell, and J for representing the sum of the traffic data amounts of the plurality of cells.

S403, the server determines a fourth ratio of the first cell.

And the fourth ratio is the ratio between the sum of the service income resources of the plurality of cells and the service income resource of the first cell.

In one possible implementation, the server may determine the fourth ratio according to a sum of the service revenue resources of the plurality of cells and the service revenue resource of the first cell.

In one possible design, the fourth ratio may be represented by equation seven.

Wherein, P ₃ For representing the fourth ratio, O for representing the traffic revenue resource of the first cell, and Q for representing the sum of the traffic revenue resources of the plurality of cells.

S404, the server determines the service evaluation information of the first cell according to the second ratio, the third ratio and the fourth ratio.

In a possible implementation manner, the server may determine the service evaluation information of the first cell according to the second ratio, the third ratio, the fourth ratio, the first preset weight value, the second preset weight value, and the third preset weight value.

In one possible design, the traffic assessment information for the first cell may be represented by equation eight.

T＝P ₁ ×v ₁ +P ₂ ×v ₂ +P ₃ ×v ₃ And (9) an equation eight.

Wherein T is used to represent service evaluation information of the first cell, P ₁ Second ratio, v, for representing the first cell ₁ For representing a first preset weight value, P ₂ Third ratio, v, for representing the first cell ₂ For representing a second predetermined weight value, P ₃ Fourth ratio, v, for representing the first cell ₃ For representing a third preset weight value.

It should be noted that, in the embodiment of the present application, the first preset weight value, the second preset weight value, and the third preset weight value are not limited. The operator can set the first preset weight value, the second preset weight value and the third preset weight value according to the analysis purpose. For example, if the analysis objective is the number of times of service generation, the operator may set the first preset weight value to 60%, the second preset weight value to 25%, and the third preset weight value to 15%.

Illustratively, if the first predetermined weight value is 20%, the second predetermined weight value is 50%, and the third predetermined weight value is 30%. If the second ratio of the first cell is 30%, the third ratio of the first cell is 60%, and the fourth ratio of the first cell is 40%, the service evaluation information of the first cell is 0.48.

It should be noted that, in the embodiment of the present application, for the service evaluation information of multiple cells, the server may determine the service evaluation information of each cell according to the second operation (i.e., S401, S402, S403, and S404). That is, the server may perform S401, S402, S403, and S404 for each of a plurality of cells, and determine service evaluation information for each cell.

It will be appreciated that the server may determine the service assessment information for each cell based on a second operation comprising: the server may determine the second ratio of the first cell according to the sum of the service generation times of the plurality of cells and the service generation time of the first cell. The server may determine the third ratio for the first cell based on a sum of traffic data volumes of the plurality of cells and a traffic data volume of the first cell. The server may determine a fourth ratio for the first cell based on the sum of the business revenue resources for the plurality of cells and the business revenue resource for the first cell. Then, the server may determine the service evaluation information of the first cell according to the second ratio, the third ratio, the fourth ratio, and the preset weight value. Thereafter, the server may determine service evaluation information of the plurality of cells according to a second operation. That is, the server may perform the second operation for each of the plurality of cells, and determine the service evaluation information for each cell. Thus, the server can obtain the optimization priority of each cell by combining the network evaluation information of each cell and the service evaluation information of each cell.

In some embodiments, the wireless network includes multiple network types of networks. The server may determine a first ratio according to the wireless network quality of each grid in the first cell, the first ratio including: a plurality of fifth ratios, a fifth ratio corresponding to a first type of grid of a network type.

The first ratio is a ratio between the number of the first type grids in the first cell and the number of all grids in the first cell, and the first type grids in the first cell include first type grids of multiple network types in the first cell. The fifth ratio is the ratio between the number of first type grids of one network type in the first cell and the number of total grids in the first cell.

It should be noted that, in the embodiment of the present application, the network type is not limited. For example, the network type may be the fifth Generation Mobile communication technology (5G). As another example, the network type may be the4th Generation Mobile Communication Technology (4G). As another example, the network type may be the third Generation telecommunication (3G) mobile communication technology.

For the first type grids of the multiple network types, the server may determine, according to the sixth operation, a fifth ratio corresponding to the first type grid of each of the multiple network types.

Wherein the sixth operation may include: the server may determine a fifth ratio corresponding to the first type of grid of the target network type. The target network type is any one of multiple types, and the first type grid of the target network type is a grid with the wireless network quality of the grid corresponding to the target network type larger than a preset wireless network quality threshold value.

Exemplarily, if the target network type is a 5g, a 5g network corresponds to a grid and the wireless network quality of each grid is: the wireless network quality of grid a is 90%, the wireless network quality of grid b is 60%, and the wireless network quality of grid c is 85%. If the preset wireless network quality threshold is 80%, the grids a and c are the first type grids of the 5G network, and the number of the first type grids is 2. If the number of all grids in the first cell is 4, the fifth ratio corresponding to the first type grid of the 5G network is 1/2.

It should be noted that, in this embodiment of the present application, for a fifth ratio corresponding to the first type grid of each of the multiple network types of the first cell, the server may determine, according to the sixth operation, the fifth ratio corresponding to the first type grid of each of the multiple network types of the first cell. That is, the server may perform the sixth operation on each of the multiple network types of the first cell, and determine the fifth ratio corresponding to the first-type grid of each of the multiple network types of the first cell.

In an embodiment of the present application, the server may determine whether the plurality of grids of the plurality of network types of the first cell are grids of the first type.

It should be noted that, for the method for determining, by the server, whether the multiple grids of the multiple network types of the first cell are the first type grids, reference may be made to the description of the method for determining, by the server, whether the multiple grids of the first cell are the first type grids in S301, which is not described herein again.

The server may then determine the number of first type grids for each network type in the first cell. The server may determine a plurality of fifth ratios based on the number of first type grids per network type in the first cell. Wherein the fifth ratio can be expressed by formula nine.

Wherein, lr is used to represent a fifth ratio corresponding to the first kind of grids of the r-th network type of the first cell, er is used to represent the number of the first kind of grids of the r-th network type of the first cell, and F is used to represent the number of all grids of the first cell.

Then, the server may determine the first ratio according to the plurality of fifth ratios and the preset weight value. In one possible design, the first ratio may be expressed by equation ten.

M＝Lc×u ₁ +Ld×u ₂ +Le×u ₃ The equation is ten.

Wherein, M is used to represent a first ratio, lc is used to represent a fifth ratio corresponding to the first kind of grid of the c-th network type of the first cell, u ₁ A fifth ratio, u, corresponding to the first type grid for representing a sixth preset weight value, ld for representing a d network type of the first cell ₂ A fifth ratio, u, corresponding to the first type grid for representing a seventh preset weight value Le representing the e network type of the first cell ₃ For representing an eighth preset weight value.

It should be noted that, in the embodiment of the present application, the sixth preset weight value, the seventh preset weight value, and the eighth preset weight value are not limited. The operator may set the sixth preset weight value, the seventh preset weight value, and the eighth preset weight value according to the analysis purpose. For example, if the analysis target is a 5G network, the operator may set the sixth preset weight value to be 50%, the seventh preset weight value to be 30%, and the eighth preset weight value to be 20%.

For example, if the sixth preset weight value is 60%, the seventh preset weight value is 30%, and the eighth preset weight value is 10%. If the fifth ratio corresponding to the first type grid of the 5G network is 80%, the fifth ratio corresponding to the first type grid of the 4G network is 60%, and the fifth ratio corresponding to the first type grid of the 3G network is 20%, the first ratio is 0.68.

It will be appreciated that the wireless network may include a variety of network types of networks. The server may determine a first ratio according to the quality of the wireless network of each grid in the first cell, where the first ratio includes a plurality of fifth ratios, and one fifth ratio corresponds to a grid of the first type of a network type. The first ratio is a ratio between the number of the first type grids in the first cell and the number of all grids in the first cell, and the first type grids in the first cell include first type grids of multiple network types in the first cell. The fifth ratio is a ratio between the number of first type grids of one network type in the first cell and the number of total grids in the first cell. That is, the server may determine the fifth ratio corresponding to the first type grid of each network type in the first cell according to the number of the first type grids of each network type in the first cell. Then, the server may determine the first ratio according to the plurality of fifth ratios and the preset weight value. Thus, the server obtains a first ratio for each cell.

The foregoing describes the solution provided by an embodiment of the present application, primarily from the perspective of a computer device. It is understood that the computer device comprises hardware structures and/or software modules for performing the functions in order to realize the functions. Those skilled in the art will readily appreciate that the exemplary optimized cell determination method steps described in connection with the embodiments disclosed herein may be implemented in hardware or a combination of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the application also provides a device for determining the optimized cell. The device for determining the optimized cell may be a computer device, or may be a CPU in the computer device, or may be a processing module for determining the optimized cell in the computer device, or may be a client for determining the optimized cell in the computer device.

In the embodiment of the present application, the determination of the optimized cell may be performed by dividing function modules or function units according to the above method example, for example, each function module or function unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in the form of hardware, or may also be implemented in the form of a software functional module or functional unit. The division of the modules or units in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 5 is a schematic structural diagram of a device for determining an optimized cell according to an embodiment of the present application. The apparatus for determining an optimized cell is configured to perform the method for determining an optimized cell shown in fig. 2, 3, and 4. The means for determining an optimized cell may comprise an obtaining module 501 and a processing module 502.

An obtaining module 501, configured to obtain cell information of each cell in multiple cells, where the cell information includes: the quality of a wireless network of each grid in the cell, the network coverage mode of the cell and the service information of the cell. A processing module 502, configured to determine network evaluation information of each cell according to the quality of the wireless network of each grid of each cell and the network coverage manner of each cell. The processing module 502 is further configured to determine service evaluation information of each cell according to the service information of each cell. Thereafter, the processing module 502 is further configured to determine an optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell. The processing module 502 is further configured to determine a target optimization cell according to the optimization priority of each cell, where the optimization priority of the target optimization cell is greater than a preset priority threshold.

Optionally, the processing module 502 is specifically configured to determine the network evaluation information of each cell according to a first operation, where the first operation includes: the processing module 502 is further configured to determine a first ratio according to the wireless network quality of each grid in a first cell, where the first cell is any one of multiple cells, the first ratio is a ratio between the number of a first type of grid in the first cell and the number of all grids in the first cell, and the first type of grid is a grid whose wireless network quality is greater than a preset wireless network quality threshold. The processing module 502 is further configured to determine the first network coverage information according to the network coverage mode of the first cell and a first corresponding relationship, where the first corresponding relationship is a relationship between the network coverage mode and the network coverage information. Thereafter, the processing module 502 is further configured to determine network evaluation information of the first cell according to the first ratio and the first network coverage information.

Optionally, the processing module 502 is specifically configured to determine the service evaluation information of each cell according to a second operation, where the second operation includes: the processing module 502 is further configured to determine a second ratio of the first cell, where the second ratio is a ratio between a sum of service generation times of the multiple cells and the service generation time of the first cell. The processing module 502 is further configured to determine a third ratio of the first cell, where the third ratio is a ratio between a sum of the service data amounts of the multiple cells and the service data amount of the first cell. The processing module 502 is further configured to determine a fourth ratio of the first cell, where the fourth ratio is a ratio between the sum of the business revenue resources of the multiple cells and the business revenue resource of the first cell. Then, the processing module 502 is further configured to determine the service evaluation information of the first cell according to the second ratio, the third ratio, and the fourth ratio.

Optionally, the wireless network includes networks of multiple network types, and the first ratio includes: and a fifth ratio, one of which corresponds to the first type of grid of one network type, the fifth ratio being the ratio between the number of the first type of grids of one network type in the first cell and the number of all grids in the first cell.

Fig. 6 is a schematic diagram illustrating a hardware structure of a device for determining an optimized cell according to an exemplary embodiment. The apparatus for determining an optimized cell may include a processor 601, where the processor 601 is configured to execute an application program code, so as to implement the method for determining an optimized cell in the present application.

The processor 601 may be a Central Processing Unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more ics for controlling the execution of programs in accordance with the present disclosure.

As shown in fig. 6, the determination means of the optimized cell may further include a memory 602. The memory 602 is used for storing application program codes for executing the scheme of the application, and the processor 601 controls the execution.

The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 602 may be separate and coupled to the processor 601 by a bus 604. The memory 602 may also be integrated with the processor 601.

As shown in fig. 6, the apparatus for determining an optimized cell may further include a communication interface 603, wherein the processor 601, the memory 602, and the communication interface 603 may be coupled to each other, for example, via a bus 604. The communication interface 603 is used for information interaction with other devices, for example, information interaction between the determination apparatus supporting the optimized cell and other apparatuses.

It is noted that the apparatus structure shown in fig. 6 does not constitute a definition of the determination means of the optimized cell, which may comprise more or less components than those shown in fig. 6, or some components in combination, or a different arrangement of components than those shown in fig. 6.

In actual implementation, the functions implemented by the processing module 502 can be implemented by the processor 601 shown in fig. 6 calling the program code in the memory 602.

The present application further provides a computer-readable storage medium, on which instructions are stored, and when the instructions in the computer-readable storage medium are executed by a processor of a computer device, the instructions enable a computer to execute the method for determining an optimized cell provided in the above-described illustrative embodiment. For example, a computer-readable storage medium may be memory 602 that includes instructions executable by processor 601 of a computer device to perform the above-described method. Alternatively, the computer readable storage medium may be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Fig. 7 schematically illustrates a conceptual partial view of a computer program product comprising a computer program for executing a computer process on a computing device provided by an embodiment of the application.

In one embodiment, a computer program product is provided using signal bearing medium 700. The signal bearing medium 700 may include one or more program instructions that, when executed by one or more processors, may provide the functions or portions of the functions described above with respect to fig. 2, 3, and 4. Thus, for example, referring to the embodiment shown in FIG. 2, one or more features of S201-S205 may be undertaken by one or more instructions associated with the signal bearing medium 700. Further, the program instructions in FIG. 7 also describe example instructions.

In some examples, signal bearing medium 700 may include a computer readable medium 701, such as, but not limited to, a hard disk drive, a Compact Disc (CD), a Digital Video Disc (DVD), a digital tape, a memory, a read-only memory (ROM), a Random Access Memory (RAM), or the like.

In some embodiments, the signal bearing medium 700 may comprise a computer recordable medium 702 such as, but not limited to, a memory, a read/write (R/W) CD, a R/W DVD, and the like.

In some implementations, the signal bearing medium 700 may include a communication medium 703, such as, but not limited to, a digital and/or analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link, etc.).

The signal bearing medium 700 may be conveyed by a wireless form of communication medium 703. The one or more program instructions may be, for example, computer-executable instructions or logic-implementing instructions.

In some examples, an apparatus for determining an optimized cell, such as described with respect to fig. 5, may be configured to provide various operations, functions, or actions in response to being programmed by one or more of computer readable medium 701, computer recordable medium 702, and/or communications medium 703.

It can be clearly understood by those skilled in the art from the foregoing description of the embodiments that, for convenience and simplicity of description, only the division of the functional modules is illustrated, and in practical applications, the above function allocation may be performed by different functional modules as needed, that is, the internal structure of the apparatus may be divided into different functional modules to perform the above-described whole classification part or part of the functions.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is only one type of logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed to a plurality of different places. The purpose of the scheme of the embodiment can be realized by selecting a part of or a whole classification part unit according to actual needs.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented as a software functional unit and sold or used as a separate product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application, or portions thereof that substantially contribute to the prior art, or the whole classification part or portions thereof, may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute the whole classification part or some steps of the methods of the embodiments of the present application. The storage medium includes various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk.

The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for determining an optimized cell, the method comprising:

obtaining cell information of each cell in a plurality of cells, the cell information comprising: the quality of a wireless network of each grid in a cell, the network coverage mode of the cell and service information of the cell;

determining network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage mode of each cell;

determining service evaluation information of each cell according to the service information of each cell;

determining the optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell;

and determining a target optimization cell according to the optimization priority of each cell, wherein the optimization priority of the target optimization cell is greater than a preset priority threshold.

2. The method of claim 1, wherein the determining the network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage of each cell comprises:

determining the network evaluation information of each cell according to a first operation comprising:

determining a first ratio according to the wireless network quality of each grid in a first cell, wherein the first cell is any one of the cells, the first ratio is the ratio between the number of first type grids in the first cell and the number of all grids in the first cell, and the first type grids are grids with the wireless network quality larger than a preset wireless network quality threshold;

determining first network coverage information according to a network coverage mode of the first cell and a first corresponding relation, wherein the first corresponding relation is the relation between the network coverage mode and the network coverage information;

and determining network evaluation information of the first cell according to the first ratio and the first network coverage information.

3. The method of claim 2, wherein the traffic information comprises: service generation times, service data volume and service income resources; the determining the service evaluation information of each cell according to the service information of each cell includes:

determining service assessment information for said each cell based on a second operation comprising:

determining a second ratio of the first cell, where the second ratio is a ratio between a sum of the service generation times of the multiple cells and the service generation time of the first cell;

determining a third ratio of the first cell, where the third ratio is a ratio between a sum of the service data amounts of the plurality of cells and the service data amount of the first cell;

determining a fourth ratio of the first cell, the fourth ratio being a ratio between a sum of the business revenue resources of the plurality of cells and the business revenue resources of the first cell;

and determining the service evaluation information of the first cell according to the second ratio, the third ratio and the fourth ratio.

4. A method according to claim 2 or 3, wherein the wireless network comprises a plurality of network types, and wherein the first ratio comprises: a plurality of fifth ratios, one of the fifth ratios corresponding to the first type of grid of one network type, the fifth ratio being a ratio between the number of the first type of grid of one network type in the first cell and the number of all grids in the first cell.

5. An apparatus for determining an optimized cell, the apparatus comprising:

an obtaining module, configured to obtain cell information of each cell in a plurality of cells, where the cell information includes: the wireless network quality of each grid in the cell, the network coverage mode of the cell and the service information of the cell;

the processing module is used for determining the network evaluation information of each cell according to the wireless network quality of each grid of each cell and the network coverage mode of each cell;

the processing module is further configured to determine service evaluation information of each cell according to the service information of each cell;

the processing module is further configured to determine an optimization priority of each cell according to the network evaluation information of each cell and the service evaluation information of each cell;

the processing module is further configured to determine a target optimization cell according to the optimization priority of each cell, where the optimization priority of the target optimization cell is greater than a preset priority threshold.

6. The apparatus of claim 5,

the processing module is specifically configured to determine the network evaluation information of each cell according to a first operation, where the first operation includes:

the processing module is further configured to determine a first ratio according to the wireless network quality of each grid in a first cell, where the first cell is any one of the multiple cells, the first ratio is a ratio between the number of a first type of grid in the first cell and the number of all grids in the first cell, and the first type of grid is a grid whose wireless network quality is greater than a preset wireless network quality threshold;

the processing module is further configured to determine first network coverage information according to a network coverage of the first cell and a first corresponding relationship, where the first corresponding relationship is a relationship between the network coverage and the network coverage information;

the processing module is further configured to determine network evaluation information of the first cell according to the first ratio and the first network coverage information.

7. The apparatus of claim 6,

the processing module is specifically configured to determine the service evaluation information of each cell according to a second operation, where the second operation includes:

the processing module is further configured to determine a second ratio of the first cell, where the second ratio is a ratio between a sum of the service generation times of the multiple cells and the service generation time of the first cell;

the processing module is further configured to determine a third ratio of the first cell, where the third ratio is a ratio between the sum of the service data amounts of the multiple cells and the service data amount of the first cell;

the processing module is further configured to determine a fourth ratio of the first cell, where the fourth ratio is a ratio between a sum of the service income resources of the plurality of cells and the service income resources of the first cell;

the processing module is further configured to determine the service evaluation information of the first cell according to the second ratio, the third ratio, and the fourth ratio.

8. The apparatus of claim 6 or 7,

the wireless network includes a plurality of network types, and the first ratio includes: a plurality of fifth ratios, one of the fifth ratios corresponding to the first type of grids of one network type, where the fifth ratio is a ratio between the number of the first type of grids of one network type in the first cell and the number of all grids in the first cell.

9. An apparatus for determining an optimized cell, comprising: a processor and a memory; the processor and the memory are coupled; the memory is used for storing one or more programs, and the one or more programs include computer executable instructions, which when executed by the determination device of the optimized cell, cause the determination device of the optimized cell to execute the determination method of the optimized cell according to any one of claims 1-4.

10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a computer, cause the computer to perform the method for determining an optimized cell of any one of claims 1-4.

11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, is adapted to carry out the method of determining an optimized cell of any one of claims 1-4.