CN115866643A

CN115866643A - Mobile network 5G traffic distribution capacity geographic evaluation method and device

Info

Publication number: CN115866643A
Application number: CN202211502446.5A
Authority: CN
Inventors: 杨宗林; 许国平; 乌云霄; 马昱; 王文良; 李莉; 于菡
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-11-28
Filing date: 2022-11-28
Publication date: 2023-03-28

Abstract

The application discloses a geographic evaluation method and device for 5G traffic diversion capacity of a mobile network, relates to the technical field of communication, and is used for improving efficiency and accuracy of evaluating the performance of a mobile network cell. The method comprises the following steps: acquiring basic data information corresponding to each grid corresponding to a target area; determining a plurality of first grids from the plurality of grids according to the number of the plurality of first sampling points, the number of the plurality of second sampling points, the total flow of each first cell and the total flow of each second cell in the basic data information corresponding to each grid, and determining target flows corresponding to the plurality of first grids; determining the occupation ratio of third sampling points included in the plurality of first grids according to the target RSRP and the number of the plurality of second sampling points; determining target distances according to the position information of the first grids and the position information of the second cells; and determining the network performance of the second network system according to the third sampling point ratio, the target distance and the target flow.

Description

Mobile network 5G traffic distribution capacity geographic evaluation method and device

Technical Field

The application relates to the technical field of communication, in particular to a mobile network 5G traffic distribution capacity geographic evaluation method and device.

Background

With the continuous development of mobile network technology, in a mobile network structure, a fourth generation mobile communication technology (4G) and a fifth generation mobile communication technology (5G) network systems coexist, and a user (i.e., a terminal) may generate 4G traffic and 5G traffic during using different network systems (4G network and 5G network), respectively. In order to further improve the coverage and depth of the 5G network and the shunting capacity of the 5G network, the performance of the 4G network and the 5G network in each area needs to be accurately analyzed. Currently, network complaints, measurement Reports (MRs), and 4G cell-level traffic and 5G cell-level traffic in the same coverage direction as the base station are mainly analyzed in a cell-level dimension through manual experience.

In the method, the efficiency of analyzing the performance of the 4G network and the 5G network in each area manually is low, and the accuracy of analyzing the 4G cell and the 5G cell level traffic in the cell level dimension is low, so that the ratio of the 4G traffic and the 5G traffic in each grid covered by each 4G cell and 5G cell cannot be accurately calculated. Thus, evaluating the performance of the mobile network cell is inefficient and less accurate.

Disclosure of Invention

The application provides a mobile network 5G traffic distribution capacity geographic evaluation method and device, which are used for improving efficiency and accuracy of evaluating the performance of a mobile network cell.

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

in a first aspect, a geographic evaluation method for 5G traffic offload capability of a mobile network is provided, where the method includes: acquiring basic data information corresponding to a target area, wherein the target area is covered by a first network system and a second network system, the first network system corresponds to a plurality of first cells, the second network system corresponds to a plurality of second cells, the target area comprises a plurality of grids, and the basic data information comprises: the method comprises the steps that the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target Reference Signal Received Power (RSRP) corresponding to each second sampling point in each grid are counted, wherein one first sampling point is the number of the sampling points corresponding to one first cell, and one second sampling point is the number of the sampling points corresponding to one second cell; determining a plurality of first grids from the plurality of grids according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell, and determining target flows corresponding to the plurality of first grids, wherein the target flows are the total flows corresponding to the plurality of first cells in the plurality of first grids; determining the proportion of third sampling points included in the plurality of first grids according to the target RSRP and the number of the plurality of second sampling points corresponding to each grid, wherein the third sampling points are second sampling points, corresponding to the second sampling points, of which the target RSRP is larger than or equal to a first preset threshold value, in each first grid of the plurality of first grids; determining target distances according to the position information of the first grids and the position information of the second cells, wherein the target distances are the corresponding shortest distances between the center points of the first grids and the second cells; and determining the network performance of the second network system according to the third sampling point ratio, the target distance and the target flow.

In a possible implementation manner, determining a first network system traffic corresponding to each grid according to a plurality of first sampling point numbers corresponding to each grid, a plurality of second sampling point numbers corresponding to each grid, a total traffic of each first cell, and a total traffic of each second cell, and determining a plurality of first grids from the plurality of grids includes: determining a first network system flow corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid and the total flow of each first cell; determining a second network system split ratio corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell; and determining a plurality of first grids with the second network system shunt ratio smaller than or equal to a second preset threshold value from the plurality of grids according to the second network system shunt ratio corresponding to each grid.

In a possible implementation manner, determining a second network system flow splitting ratio corresponding to each grid according to a plurality of first sampling point numbers corresponding to each grid, a plurality of second sampling point numbers corresponding to each grid, a total flow of each first cell, and a total flow of each second cell includes: determining a first network system flow corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid and the total flow of each first cell; determining a second network system flow corresponding to each grid according to the number of a plurality of second sampling points corresponding to each grid and the total flow of each second cell; and determining the second network system flow division ratio corresponding to each grid according to the first network system flow corresponding to each grid and the second network system flow corresponding to each grid.

In a possible implementation manner, determining a first network system traffic corresponding to each grid according to a plurality of first sampling point numbers corresponding to each grid and a total traffic of each first cell includes: determining a plurality of first sampling point occupation ratios corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid, wherein one first sampling point occupation ratio corresponds to one first cell; determining the flow of each first cell corresponding to each grid according to the occupation ratio of a plurality of first sampling points corresponding to each grid and the total flow of each first cell; and determining the first network system flow corresponding to each grid according to the flow of each first cell corresponding to each grid.

In a possible implementation manner, determining a second network system traffic corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid and the total traffic of each second cell includes: determining a plurality of second sampling point occupation ratios corresponding to each grid according to the number of a plurality of second sampling points corresponding to each grid, wherein one second sampling point occupation ratio corresponds to one second cell; determining the flow of each second cell corresponding to each grid according to the occupation ratio of the plurality of second sampling points corresponding to each grid and the total flow of each second cell; and determining the second network system flow corresponding to each grid according to the flow of each second cell corresponding to each grid.

In a possible implementation manner, determining the network performance of the second network system according to the third sampling point ratio, the target distance, and the target traffic includes: when the ratio of the third sampling point is smaller than a third threshold value and the target distance is smaller than a fourth threshold value, checking the antenna azimuth angle and the downtilt angle corresponding to each second cell in the plurality of second cells; when the ratio of the third sampling point is smaller than a third threshold, the target distance is greater than or equal to a fourth threshold, and the target flow is greater than or equal to a fifth threshold, enhancing the signal intensity corresponding to each second cell in the plurality of second cells; when the ratio of the third sampling point is greater than or equal to a third threshold, the target flow is greater than or equal to a fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than a sixth threshold, increasing the number of first terminal devices accessed to each of the plurality of second cells, wherein the first terminal devices are terminal devices supporting access to a second network system; and when the third sampling point occupation ratio is greater than or equal to a third threshold value and the number of the second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold value, increasing the number of the first terminal devices accessed by each of the plurality of second cells.

In a second aspect, a mobile network 5G traffic offloading capability geographical evaluation device is provided, where the mobile network 5G traffic offloading capability geographical evaluation device includes: an acquisition unit and a processing unit; the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring basic data information corresponding to a target area, the target area is covered by a first network system and a second network system, the first network system corresponds to a plurality of first cells, the second network system corresponds to a plurality of second cells, the target area comprises a plurality of grids, and the basic data information comprises: the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target Reference Signal Received Power (RSRP) corresponding to each second sampling point in each grid are determined, wherein one first sampling point is the number of sampling points corresponding to one first cell, and one second sampling point is the number of sampling points corresponding to one second cell; the processing unit is used for determining a plurality of first grids from the plurality of grids according to the number of the plurality of first sampling points corresponding to each grid, the number of the plurality of second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell, and determining target flows corresponding to the plurality of first grids, wherein the target flows are the total flows corresponding to the plurality of first cells in the plurality of first grids; the processing unit is further configured to determine a ratio of third sampling points included in the plurality of first grids according to the target RSRP and the number of the plurality of second sampling points corresponding to each grid, where the third sampling point is a second sampling point in each of the plurality of first grids, where the target RSRP corresponding to the second sampling point is greater than or equal to a first preset threshold; the processing unit is further used for determining target distances according to the position information of the first grids and the position information of the second cells, wherein the target distances are the corresponding shortest distances between the center points of the first grids and the second cells; and the processing unit is further used for determining the network performance of the second network system according to the third sampling point ratio, the target distance and the target flow.

In a possible implementation manner, the processing unit is further configured to determine a first network system traffic corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell; the processing unit is further configured to determine a second network system flow splitting ratio corresponding to each grid according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell, and the total flow of each second cell; and the processing unit is further used for determining a plurality of first grids with the second network system shunt ratio smaller than or equal to a second preset threshold value from the plurality of grids according to the second network system shunt ratio corresponding to each grid.

In a possible implementation manner, the processing unit is further configured to determine a first network system traffic corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell; the processing unit is further used for determining second network system traffic corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid and the total traffic of each second cell; the processing unit is further configured to determine a second network system split ratio corresponding to each grid according to the first network system traffic corresponding to each grid and the second network system traffic corresponding to each grid.

In a possible implementation manner, the processing unit is further configured to determine, according to the number of the plurality of first sampling points corresponding to each grid, a plurality of first sampling point ratios corresponding to each grid, where one first sampling point ratio corresponds to one first cell; the processing unit is further used for determining the flow of each first cell corresponding to each grid according to the occupation ratio of the plurality of first sampling points corresponding to each grid and the total flow of each first cell; and the processing unit is further configured to determine a first network system flow corresponding to each grid according to the flow of each first cell corresponding to each grid.

In a possible implementation manner, the processing unit is further configured to determine, according to the number of the plurality of second sampling points corresponding to each grid, a plurality of second sampling point ratios corresponding to each grid, where one second sampling point ratio corresponds to one second cell; the processing unit is further used for determining the flow of each second cell corresponding to each grid according to the occupation ratio of the plurality of second sampling points corresponding to each grid and the total flow of each second cell; and the processing unit is further configured to determine a second network system traffic corresponding to each grid according to the traffic of each second cell corresponding to each grid.

In a possible implementation manner, the processing unit is further configured to check an antenna azimuth angle and a downtilt angle corresponding to each of the plurality of second cells when the third sampling point occupancy is smaller than a third threshold and the target distance is smaller than a fourth threshold; the processing unit is further configured to enhance the signal strength corresponding to each of the plurality of second cells when the third sampling point ratio is smaller than a third threshold, the target distance is greater than or equal to a fourth threshold, and the target traffic is greater than or equal to a fifth threshold; the processing unit is further configured to increase the number of first terminal devices accessed to each of the plurality of second cells when the third sampling point occupancy is greater than or equal to a third threshold, the target traffic is greater than or equal to a fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than a sixth threshold, where the first terminal devices are terminal devices supporting access to a second network type; and the processing unit is further used for increasing the number of the first terminal devices accessed by each second cell in the plurality of second cells when the ratio of the third sampling point is greater than or equal to a third threshold value and the number of the second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold value.

In a third aspect, an electronic device comprises: a processor and a memory; wherein the memory is used for storing one or more programs, the one or more programs include computer executable instructions, and when the electronic device runs, the processor executes the computer executable instructions stored in the memory, so as to make the electronic device execute the mobile network 5G traffic offload capability geographic evaluation method according to the first aspect.

In a fourth aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a method for geographically evaluating a mobile network 5G traffic offload capability as described in the first aspect.

The application provides a mobile network 5G traffic distribution capacity geographic evaluation method and device, which are applied to a scene of evaluating the performance of a mobile network cell. When evaluating the performance of a mobile network cell, the number of a plurality of first sampling points corresponding to a target area including a plurality of grids, the number of a plurality of second sampling points, the total flow of each first cell, the total flow of each second cell and the target RSRP corresponding to each second sampling point can be obtained, and as the target area is covered by the plurality of first cells corresponding to a first network standard and the plurality of second cells corresponding to a second network standard, a plurality of first grids can be determined from the plurality of grids according to the number of the plurality of first sampling points, the number of the plurality of second sampling points, the total flow of each first cell and the total flow of each second cell, and the target flows corresponding to the plurality of first grids are determined; further, according to the target RSRP and the number of the second sampling points, the proportion of third sampling points, corresponding to the second sampling points in the first grids, of which the target RSRP is larger than or equal to a first preset threshold is determined, and according to the position information of the first grids and the position information of the second cells, the corresponding closest distance between the center points of the first grids and the second cells is determined to be a target distance, so that the network performance of the second network system can be determined according to the proportion of the third sampling points, the target distance and the target flow. By the method, when the performance of the mobile network cell needs to be evaluated, a plurality of first grids can be determined from the plurality of grids based on the basic data information corresponding to each grid in the target area, and the network performance of the second network system is determined according to the third sampling point ratio, the target distance and the target flow rate corresponding to the plurality of first grids. The problems of low efficiency and low accuracy of analyzing the performance of each area network in a manual mode can be solved. Therefore, the efficiency and the accuracy of evaluating the performance of the mobile network cell are improved.

Drawings

Fig. 1 is a schematic structural diagram of a mobile network 5G traffic offloading capability geographic evaluation system according to an embodiment of the present application;

fig. 2 is a first flowchart illustrating a geographic evaluation method for 5G traffic offloading capability of a mobile network according to an embodiment of the present disclosure;

fig. 3 is a schematic flowchart of a geographic evaluation method for 5G traffic offloading capability of a mobile network according to an embodiment of the present application;

fig. 4 is a schematic flowchart of a third method for geographically evaluating a traffic offloading capability of a mobile network 5G according to an embodiment of the present disclosure;

fig. 5 is a flowchart illustrating a fourth method for geographically and physically evaluating the traffic offloading capability of the mobile network 5G according to an embodiment of the present disclosure;

fig. 6 is a flowchart of a geographic evaluation method for 5G traffic offloading capability of a mobile network according to an embodiment of the present application;

fig. 7 is a flowchart illustrating a sixth method for geographically evaluating the traffic offload capability of the mobile network 5G according to an embodiment of the present application;

fig. 8 is a schematic flow chart of a 5G low split area solution provided by an embodiment of the present application;

fig. 9 is a schematic structural diagram of a device for geographically and chemically evaluating the traffic offloading capability of a mobile network 5G according to an embodiment of the present disclosure;

fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

In the description of this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" or "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.

When the performance of a mobile network cell is currently evaluated, network complaints and measurement reports of each 4G cell and each 5G cell, and 4G cell-level flow and 5G cell-level flow in the same coverage direction with a base station are analyzed in a cell-level dimension through manual experience, and situations such as low 5G shunt, the number of 5G terminals, and the opening of the 5G terminals cannot be presented and analyzed in a refined manner based on geographic positions.

The embodiment of the application provides a geographic evaluation method for 5G traffic diversion capacity of a mobile network, which can obtain a plurality of first sampling point numbers corresponding to a target area comprising a plurality of grids, a plurality of second sampling point numbers, a total traffic of each first cell, a total traffic of each second cell and a target RSRP corresponding to each second sampling point when evaluating the performance of a mobile network cell, wherein the target area is covered by a plurality of first cells corresponding to a first network system and a plurality of second cells corresponding to a second network system, so that a plurality of first grids can be determined from the plurality of grids according to the plurality of first sampling point numbers, the plurality of second sampling point numbers, the total traffic of each first cell and the total traffic of each second cell, and a plurality of target traffic corresponding to the first grids can be determined; further, according to the target RSRP and the number of the second sampling points, the proportion of third sampling points, corresponding to the second sampling points in the first grids, of which the target RSRP is larger than or equal to a first preset threshold is determined, and according to the position information of the first grids and the position information of the second cells, the corresponding closest distance between the center points of the first grids and the second cells is determined to be a target distance, so that the network performance of the second network system can be determined according to the proportion of the third sampling points, the target distance and the target flow. By the method, when the performance of the mobile network cell needs to be evaluated, a plurality of first grids can be determined from a plurality of grids based on basic data information corresponding to each grid in a target area, and the network performance of the second network system is determined according to the third sampling point ratio, the target distance and the target flow corresponding to the plurality of first grids.

The method for geographically evaluating the traffic diversion capability of the mobile network 5G, provided by the embodiment of the application, can be applied to a system for geographically evaluating the traffic diversion capability of the mobile network 5G. Fig. 1 shows a schematic structural diagram of a mobile network 5G traffic offload capability geographic evaluation system. As shown in fig. 1, the mobile network 5G traffic offload capability geographic evaluation system 20 includes: server 21, terminal device 22. The server 21 is configured to store data information, send data information and instructions to the terminal device 22, and receive data information sent from the terminal device 22; the terminal device 22 is configured to receive data information from the server 21, execute instructions from the server 21, and transmit data information to the server 21.

A method for geographically evaluating the traffic offloading capability of the mobile network 5G provided by the embodiment of the present application is described below with reference to the accompanying drawings. As shown in fig. 2, a geographic evaluation method for 5G traffic offloading capability of a mobile network provided in an embodiment of the present application is applied to an electronic device, and the method includes S201-S205:

s201, acquiring basic data information corresponding to the target area.

The target area is covered by a first network system and a second network system, the first network system corresponds to a plurality of first cells, the second network system corresponds to a plurality of second cells, the target area comprises a plurality of grids, and the basic data information comprises: the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target RSRP corresponding to each second sampling point in each grid are determined, one first sampling point number is the number of the sampling points corresponding to one first cell, and one second sampling point number is the number of the sampling points corresponding to one second cell.

It can be appreciated that the electronic device can obtain base data information corresponding to each of a plurality of grids within the target area.

It should be noted that each grid of the multiple grids is covered by at least one target cell, where the at least one target cell is a cell of the multiple first cells and the multiple second cells, and each grid includes, for each first cell of the multiple first cells, multiple first sampling points (i.e., minimization of Drive Tests (MDT) sampling points of 4G cells) corresponding to each first cell.

For example, the plurality of first cells may include: no. 1 district, no. 2 district, no. 3 district, certain grid includes 20 first sampling points that No. 1 district corresponds, 30 first sampling points that No. 2 district corresponds, 50 first sampling points that No. 3 district corresponds. For each of the plurality of second cells, each grid includes a plurality of second sampling points (i.e., MR sampling points of 5G cells) corresponding to each second cell, for example, the plurality of second cells may include: no. 4 cell, no. 5 cell, no. 6 cell, certain grid includes 25 second sampling points that No. 4 cell corresponds, 35 second sampling points that No. 5 cell corresponds, 55 second sampling points that No. 6 cell corresponds.

It should be noted that, the target Reference Signal Received Power (RSRP) is one of the key parameters that can represent the wireless signal strength in the Long Term Evolution (LTE) network and the physical layer measurement requirement, and is the average value of the received signal power on all Resource Elements (REs) that carry the reference signal within a certain symbol. Generally, the index can be used to reflect the wireless coverage strength, and a higher index means that the wireless coverage strength of the area is higher, and the coverage rate is a signal ratio exceeding a certain preset threshold (for example, -110 dbm), that is, exceeding-110 dbm can be considered as covered, and not covered, so as to calculate the coverage rate in the area.

Optionally, the basic data information corresponding to the target area may further include: the method comprises the steps of obtaining the grid number of each grid, the position information (grid longitude and grid latitude) of the grid, the ID of a 4G cell (namely a first cell) corresponding to the grid, the ID of a 5G cell (namely a second cell) corresponding to the grid, the level (namely RSRP) of a first sampling point in the grid, the level of a second sampling point in the grid, the number of first sampling points of which the RSRP in the grid is greater than or equal to a first level threshold value, the number of second sampling points of which the RSRP in the grid is greater than or equal to a first preset threshold value, the number of 5G terminals in the grid (namely the number of first terminal devices), the number of unopened 5G terminal switches in the grid (namely the number of second terminal devices) and the total number of sampling points in the grid.

Illustratively, the first level threshold may be-110 dBm and the first preset threshold may be-105 dBm.

S202, determining a plurality of first grids from the plurality of grids according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell, and determining target flows corresponding to the plurality of first grids.

The target flow is a total flow corresponding to a plurality of first cells in a plurality of first grids.

It can be understood that the electronic device may determine the first network system traffic corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell, and determine the second network system traffic corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid and the total traffic of each second cell.

Further, a second network system flow division ratio corresponding to each grid is determined according to a first network system flow corresponding to each grid and a second network system flow corresponding to each grid, a plurality of first grids with the second network system flow division ratio smaller than or equal to a second preset threshold value are determined from the plurality of grids according to the second network system flow division ratio corresponding to each grid, and target flows corresponding to the plurality of first grids are determined according to the first network system flow corresponding to each grid in the plurality of first grids and the second network system flow corresponding to each grid in the plurality of first grids.

Optionally, each of the plurality of first grids may be clustered by a preset clustering algorithm based on the basic data information corresponding to each of the plurality of first grids, so as to remove grids that are not connected to other first grids from the plurality of first grids, thereby obtaining a plurality of cluster clusters formed by the first grids, each cluster including the plurality of first grids connected to each other, and generating a tag for identifying itself for each cluster.

Further, based on the label corresponding to each cluster, preset convex hull operation is performed on the position information of the first grid corresponding to each cluster, so as to obtain a target envelope curve corresponding to each cluster. The target traffic corresponding to the plurality of first grids may be a sum of first network system traffic corresponding to each of the plurality of first grids and a sum of second network system traffic corresponding to each of the plurality of first grids.

Illustratively, the plurality of clusters may include cluster No. 1, cluster No. 2, cluster No. 3.

It should be noted that an irregular closed curve can be drawn for the first grid at the edge of each cluster by the preset convex hull operation, so as to obtain a target envelope curve corresponding to each cluster.

S203, determining the occupation ratio of third sampling points included in the plurality of first grids according to the target RSRP and the number of the plurality of second sampling points corresponding to each grid.

The third sampling point is a second sampling point, corresponding to the second sampling point, and the target RSRP of the second sampling point is greater than or equal to a first preset threshold value in each of the plurality of first grids.

It can be understood that the electronic device may determine, according to the target RSRP corresponding to each second sampling point in each grid of the plurality of first grids, the number of third sampling points corresponding to each grid, and determine, according to the number of third sampling points corresponding to each grid and the number of second sampling points corresponding to each grid, the occupation ratio of the third sampling points included in the plurality of first grids.

Alternatively, the ratio of the third sampling points included in the plurality of first grids may be a ratio of the sum of the numbers of the third sampling points corresponding to each of the plurality of first grids to the sum of the numbers of the second sampling points corresponding to each of the plurality of first grids.

S204, determining the target distance according to the position information of the first grids and the position information of the second cells.

And the target distance is the corresponding closest distance between the central points of the first grids and the second cells.

It can be understood that the electronic device may determine center points of the plurality of first grids according to the position information of the plurality of first grids, determine a second cell closest to the center point according to the position information of the plurality of second cells, and determine the target distance based on the position information of the center points of the plurality of first grids and the position information of the second cell closest to the center point.

Alternatively, the longitude corresponding to the center point of the plurality of first grids may be an average of grid longitudes corresponding to each of the plurality of first grids, and the latitude corresponding to the center point of the plurality of first grids may be an average of grid latitudes corresponding to each of the plurality of first grids.

And S205, determining the network performance of the second network system according to the third sampling point ratio, the target distance and the target flow.

It can be understood that the electronic device may determine the network performance of the second network system corresponding to the multiple first grids according to the third sampling point occupation ratios included in the multiple first grids, the target distances corresponding to the multiple first grids, the target traffic corresponding to the multiple first grids, the number of first terminal devices included in the multiple first grids, and the number of second terminal devices included in the multiple first grids.

The embodiment of the application provides a geographic evaluation method for 5G traffic diversion capacity of a mobile network, which can obtain a plurality of first sampling point numbers corresponding to a target area comprising a plurality of grids, a plurality of second sampling point numbers, a total traffic of each first cell, a total traffic of each second cell and a target RSRP corresponding to each second sampling point when evaluating the performance of a mobile network cell, wherein the target area is covered by a plurality of first cells corresponding to a first network system and a plurality of second cells corresponding to a second network system, so that a plurality of first grids can be determined from the plurality of grids according to the plurality of first sampling point numbers, the plurality of second sampling point numbers, the total traffic of each first cell and the total traffic of each second cell, and a plurality of target traffic corresponding to the first grids can be determined; furthermore, the occupation ratio of a third sampling point, corresponding to the second sampling point in the plurality of first grids, of which the target RSRP is larger than or equal to a first preset threshold is determined according to the target RSRP and the number of the plurality of second sampling points, and the corresponding closest distance between the center point of the plurality of first grids and the plurality of second cells is determined as a target distance according to the position information of the plurality of first grids and the position information of the plurality of second cells, so that the network performance of the second network system can be determined according to the occupation ratio of the third sampling point, the target distance and the target flow. By the method, when the performance of the mobile network cell needs to be evaluated, a plurality of first grids can be determined from the plurality of grids based on the basic data information corresponding to each grid in the target area, and the network performance of the second network system is determined according to the third sampling point ratio, the target distance and the target flow rate corresponding to the plurality of first grids.

In one design, as shown in fig. 3, a method for geographically evaluating traffic splitting capability of a mobile network 5G provided by the embodiment of the present application is applied to an electronic device, where the method in step S202 "determine a plurality of first grids from a plurality of grids according to a number of first sampling points corresponding to each grid, a number of second sampling points corresponding to each grid, a total flow rate of each first cell, and a total flow rate of each second cell" specifically includes S301 to S303:

s301, determining a first network system flow corresponding to each grid according to the number of the first sampling points corresponding to each grid and the total flow of each first cell.

It can be understood that the electronic device may determine the first sampling point occupation ratio of each first cell on each grid according to the number of the plurality of first sampling points corresponding to each grid and the number of the sampling points of each first cell.

Further, determining a first network system flow corresponding to each grid according to the first sampling point ratio of each first cell on each grid and the total flow of each first cell.

S302, determining a second network system split flow ratio corresponding to each grid according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell.

It can be understood that the electronic device may determine a sampling point occupation ratio of each first cell on each grid according to a plurality of first sampling point numbers corresponding to each grid and the sampling point number of each first cell, further determine a first network traffic corresponding to each grid according to the sampling point occupation ratio of each first cell on each grid and the total traffic of each first cell, and determine a sampling point occupation ratio of each second cell on each grid according to a plurality of second sampling point numbers corresponding to each grid and the sampling point number of each second cell.

Further, second network system flow corresponding to each grid is determined according to the sampling point occupation ratio of each second cell on each grid and the total flow of each second cell, and then the second network system flow division ratio corresponding to each grid is determined according to the first network system flow and the second network system flow corresponding to each grid.

And S303, according to the second network system split ratio corresponding to each grid, determining a plurality of first grids with the second network system split ratios smaller than or equal to a second preset threshold value from the plurality of grids.

It is understood that the electronic device may determine, according to the second network system splitting ratio corresponding to each grid, a plurality of first grids from the plurality of grids, where the second network system splitting ratio is less than or equal to a second preset threshold (e.g., 50%).

Optionally, the plurality of first grids may be grids in which the first network system traffic in the plurality of grids is greater than a certain preset threshold.

It should be noted that, when steps S301 to S303 are included, the method in step S202 may specifically include "determining target flow rates corresponding to a plurality of first grids".

In a design, as shown in fig. 4, a method for geographically evaluating a traffic offloading capability of a mobile network 5G provided in the embodiment of the present application is applied to an electronic device, where the method in step S302 specifically includes S401-S403:

s401, determining a first network system flow corresponding to each grid according to the number of the first sampling points corresponding to each grid and the total flow of each first cell.

It can be understood that the electronic device may determine a sampling point occupation ratio of each first cell on each grid according to a plurality of first sampling point numbers corresponding to each grid and the sampling point number of each first cell, and further determine a first network traffic corresponding to each grid according to the sampling point occupation ratio of each first cell on each grid and the total traffic of each first cell.

S402, determining second network system flow corresponding to each grid according to the number of the second sampling points corresponding to each grid and the total flow of each second cell.

It can be understood that the electronic device may determine the second sampling point proportion of each second cell on each grid according to the number of the plurality of second sampling points corresponding to each grid and the number of the sampling points of each second cell, and further determine the second network traffic corresponding to each grid according to the second sampling point proportion of each second cell on each grid and the total traffic of each second cell.

S403, determining a second network system flow division ratio corresponding to each grid according to the first network system flow corresponding to each grid and the second network system flow corresponding to each grid.

Optionally, a sum of a first network system traffic corresponding to one grid and a second network system traffic corresponding to the grid may be a total network system traffic corresponding to the grid, and a second network system flow division ratio corresponding to each grid may be a ratio of the second network system traffic corresponding to each grid to the total network system traffic corresponding to each grid.

For example, a grid number may be i, a second network system splitting ratio corresponding to the grid i is P, and P = M _{i_5g} /(M _{i_4g} +M _{i_5g} ) Wherein M is _{i_5g} Represents the second network system flow corresponding to the grid i, M _{i_4g} And representing the first network system flow corresponding to the grid i.

In a design, as shown in fig. 5, in a geographic evaluation method for traffic offload capability of a mobile network 5G provided in an embodiment of the present application, the method in step S401 is specifically applied to an electronic device, and includes S501-S503:

s501, determining the occupation ratio of the plurality of first sampling points corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid.

Wherein a first sampling point occupation corresponds to a first cell.

Alternatively, the first sampling point occupation ratio of each first cell on each grid may be a ratio of a plurality of first sampling points corresponding to each grid to the first sampling point quantity of each first cell.

For example, a certain grid number may be i, ID may be ID of a certain first cell, and the first sampling point occupation ratio of a certain first cell on the grid i may be p _{ID_i} Has p of _{ID_i} ＝m _{ID_i} /M _ID Wherein m is _{ID_i} Representing the number of first samples, M, of a first cell on grid i _ID Indicating the number of first samples of a first cell.

S502, determining the flow of each first cell corresponding to each grid according to the multiple first sampling point occupation ratios corresponding to each grid and the total flow of each first cell.

It can be understood that the electronic device may determine the traffic of each first cell corresponding to each grid according to the plurality of first sampling point occupancy rates corresponding to each grid and the total traffic of each first cell.

Optionally, the total traffic of each first cell may be counted according to the network manager, and the traffic of each first cell corresponding to each grid may be a product of a ratio of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell.

Illustratively, the flow rate of a first cell corresponding to the grid i is U _{4g_i_ID} Having U _{4g_i_ID} ＝U _{4g_ID} *p _{ID_i} Wherein, U _{4g_ID} Indicating the total flow of a first cell, p _{ID_i} Indicating the ratio of the first sample point corresponding to grid i.

S503, determining the first network system flow corresponding to each grid according to the flow of each first cell corresponding to each grid.

It can be understood that the electronic device may determine the first network system traffic corresponding to each grid according to the traffic of each first cell corresponding to each grid.

Optionally, the first network system traffic corresponding to each grid may be a sum of the traffic of each first cell corresponding to each grid.

Exemplarily, the first network traffic M corresponding to the grid i _{i_4g} As shown in equation one:

wherein M is _{i_4g} Representing the first network system flow U corresponding to the grid i _{4g_i_ID} Indicating the traffic of a certain first cell corresponding to grid i, k =0 indicating the 0 th first cell corresponding to grid i, and n indicating the nth first cell corresponding to grid i.

In a design, as shown in fig. 6, in a geographic evaluation method for a mobile network 5G traffic offloading capability provided in an embodiment of the present application, the method in step S402 specifically includes steps S601 to S603:

s601, determining the occupation ratio of the plurality of second sampling points corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid.

Wherein a second sampling point is assigned to a second cell.

Alternatively, the second sampling point occupation ratio of each second cell on each grid may be a ratio of a plurality of second sampling points corresponding to each grid to the number of second sampling points of each second cell.

For example, a certain grid number may be i, ID may be ID of a certain second cell, and second sampling point occupation ratio of the certain second cell on the grid i may be q _{ID_i} Having q of _{ID_i} ＝n _{ID_i} /N _ID Wherein n is _{ID_i} Indicating a second number of samples, N, of a second cell on grid i _ID Indicating the number of second samples of a second cell.

S602, determining the flow of each second cell corresponding to each grid according to the occupation ratio of the plurality of second sampling points corresponding to each grid and the total flow of each second cell.

It can be understood that the electronic device may determine the traffic of each second cell corresponding to each grid according to the plurality of second sampling point occupancy rates corresponding to each grid and the total traffic of each second cell.

Optionally, the total traffic of each second cell may be counted according to the network manager, and the traffic of each second cell corresponding to each grid may be a product of a ratio of the plurality of second sampling points corresponding to each grid and the total traffic of each second cell.

Exemplarily, the traffic of a certain second cell corresponding to the grid i is U _{5g_i_ID} Has U _{5g_i_ID} ＝U _{5g_ID} *q _{ID_i} Wherein, U _{5g_ID} Representing the total flow of a second cell, q _{ID_i} Indicating the second sampling point ratio corresponding to grid i.

S603, determining second network system flow corresponding to each grid according to the flow of each second cell corresponding to each grid.

It can be understood that the electronic device may determine the second network system traffic corresponding to each grid according to the traffic of each second cell corresponding to each grid.

Optionally, the second network traffic corresponding to each grid may be the sum of the traffic of each second cell corresponding to each grid.

Exemplarily, the flow M of the second network system corresponding to the grid i _{i_5g} As shown in equation two:

wherein, M _{i_5g} Represents the second network system flow, U, corresponding to the grid i _{5g_i_ID} Indicating the flow of a certain second cell corresponding to grid i, k =0 indicating the 0 th second cell corresponding to grid i, and n indicating the nth second cell corresponding to grid i.

In a design, as shown in fig. 7, in a geographic evaluation method for traffic offload capability of a mobile network 5G provided in an embodiment of the present application, the method in step S205 specifically includes steps S701 to S704:

and S701, when the ratio of the third sampling point is smaller than a third threshold value and the target distance is smaller than a fourth threshold value, checking the antenna azimuth angle and the downward inclination angle corresponding to each second cell in the plurality of second cells.

It is to be understood that, when the third sampling point occupation ratio included in the plurality of first grids is smaller than the third threshold value and the target distances corresponding to the plurality of first grids are smaller than the fourth threshold value, the antenna azimuth angle and the downtilt angle corresponding to each of the plurality of second cells corresponding to the plurality of first grids may be checked.

Optionally, the occupation ratio of the third sampling points included in the plurality of first grids may be increased by adjusting the antenna azimuth angle and the downtilt angle corresponding to each second cell.

And S702, when the ratio of the third sampling point is smaller than a third threshold, the target distance is greater than or equal to a fourth threshold, and the target flow is greater than or equal to a fifth threshold, enhancing the signal intensity corresponding to each of the plurality of second cells.

It is to be understood that, when the third sampling point occupation ratio included in the plurality of first grids is smaller than the third threshold, the target distances corresponding to the plurality of first grids are greater than or equal to the fourth threshold, and the target traffic corresponding to the plurality of first grids is greater than or equal to the fifth threshold, the signal strength corresponding to each of the plurality of second cells corresponding to the plurality of first grids may be enhanced.

Optionally, the second cell base station may be planned in a plurality of first grids, and the ratio of third sampling points included in the plurality of first grids may be increased, so as to enhance the 5G network coverage.

And S703, when the ratio of the third sampling point is greater than or equal to a third threshold, the target flow is greater than or equal to a fifth threshold, and the number of the first terminal devices included in the plurality of first grids is less than a sixth threshold, increasing the number of the first terminal devices accessed to each of the plurality of second cells.

The first terminal device is a terminal device supporting access to a second network system.

It can be understood that, when the third sampling point occupation ratio included in the plurality of first grids is greater than or equal to the third threshold, the target traffic corresponding to the plurality of first grids is greater than or equal to the fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than the sixth threshold, the number of first terminal devices accessed by each of the plurality of second cells corresponding to the plurality of first grids may be increased.

Alternatively, the number of first terminal devices can be increased by suggesting that the market side develops the number of 5G terminals.

And S704, when the ratio of the third sampling points is greater than or equal to a third threshold and the number of the second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold, increasing the number of the first terminal devices accessed by each of the plurality of second cells.

It is to be understood that, when the plurality of first grids include a third sampling point occupation ratio greater than or equal to a third threshold value and the number of second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold value, the number of first terminal devices accessed by each of the plurality of second cells corresponding to the plurality of first grids is increased.

Optionally, the number of first terminal devices accessed to each of the plurality of second cells corresponding to the plurality of first grids may be increased by suggesting a market side to assist the 5G terminals in the area where the plurality of first grids are located to open the 5G switch.

In one implementation, as shown in fig. 8, a flow diagram of a 5G low split area solution is shown. Firstly, acquiring 5G low shunt area envelope data, matching envelope MR sampling points, the number of RSRP certain threshold sampling points, 5G terminal user data, the number of 5G terminal switches which are not opened, envelope center longitude and envelope center latitude in the 5G low shunt area envelope data, determining the proportion of 5G coverage level sampling points, judging whether the proportion of the 5G coverage level sampling points is lower than a certain threshold, if so, further judging whether the distance between a 5G cell and the envelope center is lower than a certain threshold, and if not, judging whether the number of 5G users is lower than a certain threshold; judging whether the distance between the 5G cell and the envelope center is lower than a certain threshold value, if so, checking the azimuth angle and the downtilt angle of the antenna of the 5G cell, and if not, suggesting to plan the 5G base station according to the traffic condition; and judging whether the number of the 5G users is lower than a certain threshold, if so, suggesting the market to strengthen service development if the 4G flow is higher, and if not, suggesting the 5G users in the auxiliary area of the market side to open the 5G switch if the number of the switches which are not opened at the 5G terminal is higher than the threshold.

In one implementation, when a plurality of target envelope curves corresponding to the first grid already exist on the map, the ratio of the third sampling points, the target distance, the target traffic, the number of the first terminal devices, and the number of the second terminal devices corresponding to the target envelope curve may be determined based on the basic data information of each grid in the target envelope curve, so as to determine the network performance of the second network system corresponding to the target envelope curve.

The embodiment of the application provides a geographic evaluation method for 5G flow diversion capacity of a mobile network, which can be used for counting sampling points included in grids covered by each cell of the whole network, calculating the proportion of the sampling points of each cell on the covered grids one by one according to the dimension of the cell, calculating the flow of each cell on each covered grid by combining the total flow of each cell, and finally collecting the sum of the flows of each cell on each grid one by one to respectively obtain the 4G flow and the 5G flow of each grid, wherein the calculation accuracy is higher; furthermore, the 5G shunt ratio of each grid is calculated according to the 4G flow and the 5G flow of each grid, grids with high 4G flow and low 5G shunt in each grid can be screened out for key analysis, clustering envelopes are formed by the grids with low 5G shunt for analysis, data such as network coverage of the grids, the number of user terminals and whether 5G switches are turned on are correlated, and a proposal scheme is provided for a network side and a market side.

The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. In order to implement the above functions, it includes a hardware structure and/or a software module for performing each function. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations 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.

In the embodiment of the present application, the method for geographically evaluating the traffic offloading capability of the mobile network 5G may be implemented by dividing function modules according to the above method example, for example, each function module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules 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. 9 is a schematic structural diagram of a mobile network 5G traffic offloading capability geographical evaluation apparatus according to an embodiment of the present disclosure. As shown in fig. 9, a mobile network 5G traffic offloading capability geographical evaluation apparatus 40 is used to improve efficiency and accuracy of evaluating performance of a mobile network cell, for example, to execute a mobile network 5G traffic offloading capability geographical evaluation method shown in fig. 2. The mobile network 5G traffic offload capability geography evaluation apparatus 40 includes: an acquisition unit 401 and a processing unit 402;

an obtaining unit 401, configured to obtain basic data information corresponding to a target area, where the target area is covered by a first network system and a second network system, the first network system corresponds to multiple first cells, the second network system corresponds to multiple second cells, the target area includes multiple grids, and the basic data information includes: the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target Reference Signal Received Power (RSRP) corresponding to each second sampling point in each grid are determined, wherein one first sampling point is the number of sampling points corresponding to one first cell, and one second sampling point is the number of sampling points corresponding to one second cell;

a processing unit 402, configured to determine, according to a number of first sampling points corresponding to each grid, a number of second sampling points corresponding to each grid, a total flow of each first cell, and a total flow of each second cell, a plurality of first grids from the plurality of grids, and determine target flows corresponding to the plurality of first grids, where the target flows are total flows corresponding to the plurality of first cells in the plurality of first grids;

the processing unit 402 is further configured to determine, according to the target RSRP and the number of the second sampling points corresponding to each grid, a ratio of third sampling points included in the first grids, where the third sampling point is a second sampling point in each first grid of the first grids, where the target RSRP corresponding to the second sampling point is greater than or equal to a first preset threshold;

the processing unit 402 is further configured to determine a target distance according to the position information of the plurality of first grids and the position information of the plurality of second cells, where the target distance is a closest distance between a center point of the plurality of first grids and the plurality of second cells;

the processing unit 402 is further configured to determine the network performance of the second network system according to the third sampling point ratio, the target distance, and the target traffic.

In a possible implementation manner, the processing unit 402 is further configured to determine a first network system traffic corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell; the processing unit 402 is further configured to determine a second network system splitting ratio corresponding to each grid according to a number of the first sampling points corresponding to each grid, a number of the second sampling points corresponding to each grid, a total flow rate of each first cell, and a total flow rate of each second cell; the processing unit 402 is further configured to determine, according to the second network system splitting ratio corresponding to each grid, a plurality of first grids in which the second network system splitting ratio is smaller than or equal to a second preset threshold from the plurality of grids.

In a possible implementation manner, the processing unit 402 is further configured to determine a first network system traffic corresponding to each grid according to the number of the plurality of first sampling points corresponding to each grid and the total traffic of each first cell; the processing unit 402 is further configured to determine a second network system traffic corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid and the total traffic of each second cell; the processing unit 402 is further configured to determine a second network system split ratio corresponding to each grid according to the first network system traffic corresponding to each grid and the second network system traffic corresponding to each grid.

In a possible implementation manner, the processing unit 402 is further configured to determine, according to the number of the plurality of first sampling points corresponding to each grid, a plurality of first sampling point ratios corresponding to each grid, where one first sampling point ratio corresponds to one first cell; the processing unit 402 is further configured to determine a traffic of each first cell corresponding to each grid according to a plurality of first sampling point occupancy rates corresponding to each grid and the total traffic of each first cell; the processing unit 402 is further configured to determine, according to the traffic of each first cell corresponding to each grid, a first network system traffic corresponding to each grid.

In a possible implementation manner, the processing unit 402 is further configured to determine, according to the number of the plurality of second sampling points corresponding to each grid, the ratio of the plurality of second sampling points corresponding to each grid, where one second sampling point ratio corresponds to one second cell; the processing unit 402 is further configured to determine a traffic of each second cell corresponding to each grid according to a plurality of second sampling point occupancy rates corresponding to each grid and the total traffic of each second cell; the processing unit 402 is further configured to determine, according to the traffic of each second cell corresponding to each grid, a second network system traffic corresponding to each grid.

In a possible implementation manner, the processing unit 402 is further configured to check an antenna azimuth angle and a downtilt angle corresponding to each of the second cells when the third sampling point occupancy is smaller than a third threshold and the target distance is smaller than a fourth threshold; the processing unit 402 is further configured to, when the third sampling point occupancy is smaller than a third threshold, the target distance is greater than or equal to a fourth threshold, and the target traffic is greater than or equal to a fifth threshold, enhance the signal strength corresponding to each of the plurality of second cells; the processing unit 402 is further configured to increase the number of first terminal devices accessed to each second cell in the plurality of second cells when the third sampling point ratio is greater than or equal to the third threshold, the target traffic is greater than or equal to the fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than the sixth threshold, where the first terminal devices are terminal devices supporting access to the second network system; the processing unit 402 is further configured to increase the number of first terminal devices accessed by each of the plurality of second cells when the third sampling point ratio is greater than or equal to the third threshold and the number of second terminal devices included in the plurality of first grids is greater than or equal to the seventh threshold.

In the case of implementing the functions of the integrated modules in the form of hardware, the embodiments of the present application provide another possible structural schematic diagram of the electronic device related to the above embodiments. As shown in fig. 10, an electronic device 60 is used for improving efficiency and accuracy of evaluating performance of a mobile network cell, for example, for performing a mobile network 5G traffic offloading capability geographic evaluation method shown in fig. 2. The electronic device 60 includes a processor 601, a memory 602, and a bus 603. The processor 601 and the memory 602 may be connected by a bus 603.

The processor 601 is a control center of the communication apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 601 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.

For one embodiment, processor 601 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 10.

The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, 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.

As a possible implementation, the memory 602 may be present separately from the processor 601, and the memory 602 may be connected to the processor 601 via a bus 603 for storing instructions or program code. When the processor 601 calls and executes the instructions or program codes stored in the memory 602, the method for geographically evaluating the traffic offload capability of the mobile network 5G provided by the embodiment of the present application can be implemented.

In another possible implementation, the memory 602 may also be integrated with the processor 601.

The bus 603 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 10, but this is not intended to represent only one bus or type of bus.

It is to be noted that the structure shown in fig. 10 does not constitute a limitation of the electronic apparatus 60. In addition to the components shown in FIG. 10, the electronic device 60 may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.

As an example, in connection with fig. 9, the functions implemented by the acquisition unit 401 and the processing unit 402 in the electronic device are the same as the functions of the processor 601 in fig. 10.

Optionally, as shown in fig. 10, the electronic device 60 provided in the embodiment of the present application may further include a communication interface 604.

A communication interface 604 for connecting with other devices through a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

In one design, in the electronic device provided in the embodiment of the present application, the communication interface may be further integrated in the processor.

Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the computer executes the instructions, the computer executes each step in the method flow shown in the foregoing method embodiment.

Embodiments of the present application provide a computer program product containing instructions, which when executed on a computer, cause the computer to execute a geographic evaluation method for mobile network 5G traffic offload capability in the above method embodiments.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), registers, a hard disk, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC).

In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the electronic device, the computer-readable storage medium, and the computer program product in the embodiments of the present application may be applied to the method described above, for technical effects that can be obtained by the method, reference may also be made to the method embodiments described above, and details of the embodiments of the present application are not repeated herein.

The above 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 of the present disclosure should be covered by the scope of the present application.

Claims

1. A geographic assessment method for 5G traffic offload capability of a mobile network is characterized by comprising the following steps:

acquiring basic data information corresponding to a target area, wherein the target area is covered by a first network system and a second network system, the first network system corresponds to a plurality of first cells, the second network system corresponds to a plurality of second cells, the target area comprises a plurality of grids, and the basic data information comprises: the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target Reference Signal Received Power (RSRP) corresponding to each second sampling point in each grid are determined, wherein one first sampling point is the number of sampling points corresponding to one first cell, and one second sampling point is the number of sampling points corresponding to one second cell;

determining a plurality of first grids from the plurality of grids according to the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell, and determining target flows corresponding to the plurality of first grids, wherein the target flows are the total flows corresponding to the plurality of first cells in the plurality of first grids;

determining the proportion of third sampling points included in the plurality of first grids according to the target RSRP and the number of the second sampling points corresponding to each grid, wherein the third sampling points are second sampling points, corresponding to the second sampling points, of which the target RSRP is larger than or equal to a first preset threshold value in each first grid of the plurality of first grids;

determining target distances according to the position information of the first grids and the position information of the second cells, wherein the target distances are the corresponding closest distances between the center points of the first grids and the second cells;

and determining the network performance of the second network system according to the third sampling point ratio, the target distance and the target flow.

2. The method of claim 1, wherein determining a plurality of first grids from the plurality of grids according to the number of first sampling points corresponding to each grid, the number of second sampling points corresponding to each grid, the total traffic of each first cell, and the total traffic of each second cell comprises:

determining a first network system flow corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid and the total flow of each first cell;

determining a second network system flow splitting ratio corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell and the total flow of each second cell;

and determining a plurality of first grids with the second network system shunt ratio smaller than or equal to a second preset threshold value from the plurality of grids according to the second network system shunt ratio corresponding to each grid.

3. The method according to claim 2, wherein determining the second network system splitting ratio corresponding to each grid according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow rate of each first cell, and the total flow rate of each second cell comprises:

determining a second network system flow corresponding to each grid according to the number of a plurality of second sampling points corresponding to each grid and the total flow of each second cell;

and determining the second network system flow division ratio corresponding to each grid according to the first network system flow corresponding to each grid and the second network system flow corresponding to each grid.

4. The method according to claim 3, wherein determining the first network traffic corresponding to each grid according to the number of the first sampling points corresponding to each grid and the total traffic of each first cell comprises:

determining a plurality of first sampling point occupation ratios corresponding to each grid according to the number of a plurality of first sampling points corresponding to each grid, wherein one first sampling point occupation ratio corresponds to one first cell;

determining the flow of each first cell corresponding to each grid according to the occupation ratio of a plurality of first sampling points corresponding to each grid and the total flow of each first cell;

and determining the first network system flow corresponding to each grid according to the flow of each first cell corresponding to each grid.

5. The method according to claim 3, wherein determining the second network traffic corresponding to each grid according to the number of the second sampling points corresponding to each grid and the total traffic of each second cell comprises:

determining a plurality of second sampling point occupation ratios corresponding to each grid according to the number of a plurality of second sampling points corresponding to each grid, wherein one second sampling point occupation ratio corresponds to one second cell;

determining the flow of each second cell corresponding to each grid according to the occupation ratio of the plurality of second sampling points corresponding to each grid and the total flow of each second cell;

and determining the second network system flow corresponding to each grid according to the flow of each second cell corresponding to each grid.

6. The method according to claim 1, wherein the determining the network performance of the second network standard according to the third sampling point ratio, the target distance, and the target traffic includes:

when the third sampling point occupation ratio is smaller than a third threshold value and the target distance is smaller than a fourth threshold value, checking the antenna azimuth angle and the downtilt angle corresponding to each second cell in the plurality of second cells;

when the third sampling point ratio is smaller than the third threshold, the target distance is greater than or equal to the fourth threshold, and the target traffic is greater than or equal to a fifth threshold, enhancing the signal strength corresponding to each of the plurality of second cells;

when the third sampling point ratio is greater than or equal to the third threshold, the target traffic is greater than or equal to a fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than a sixth threshold, increasing the number of first terminal devices accessed to each of the plurality of second cells, wherein the first terminal devices are terminal devices supporting access to a second network system;

and when the third sampling point occupation ratio is greater than or equal to the third threshold and the number of the second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold, increasing the number of the first terminal devices accessed by each of the plurality of second cells.

7. A geographic evaluation device for 5G traffic offload capability of a mobile network is characterized in that the geographic evaluation device for 5G traffic offload capability of the mobile network comprises: an acquisition unit and a processing unit;

the acquiring unit is configured to acquire basic data information corresponding to a target area, where the target area is covered by a first network type and a second network type, the first network type corresponds to multiple first cells, the second network type corresponds to multiple second cells, the target area includes multiple grids, and the basic data information includes: the number of a plurality of first sampling points corresponding to each grid, the number of a plurality of second sampling points corresponding to each grid, the total flow of each first cell, the total flow of each second cell and the target Reference Signal Received Power (RSRP) corresponding to each second sampling point in each grid are determined, wherein one first sampling point is the number of sampling points corresponding to one first cell, and one second sampling point is the number of sampling points corresponding to one second cell;

the processing unit is configured to determine, according to a plurality of first sampling points corresponding to each grid, a plurality of second sampling points corresponding to each grid, a total flow of each first cell, and a total flow of each second cell, a plurality of first grids from the plurality of grids, and determine target flows corresponding to the plurality of first grids, where the target flows are total flows corresponding to the plurality of first cells in the plurality of first grids;

the processing unit is further configured to determine a ratio of third sampling points included in the multiple first grids according to the target RSRP and a number of multiple second sampling points corresponding to each grid, where the third sampling point is a second sampling point in each first grid of the multiple first grids, where a target RSRP corresponding to the second sampling point is greater than or equal to a first preset threshold;

the processing unit is further configured to determine target distances according to the position information of the plurality of first grids and the position information of the plurality of second cells, where the target distances are the corresponding closest distances between the center points of the plurality of first grids and the plurality of second cells;

and the processing unit is further configured to determine the network performance of the second network system according to the third sampling point ratio, the target distance, and the target traffic.

8. The device for geographically and physically evaluating 5G traffic offload capability of a mobile network according to claim 7, wherein the processing unit is further configured to determine a first network traffic corresponding to each grid according to the number of the first sampling points corresponding to each grid and a total traffic of each first cell;

the processing unit is further configured to determine a second network system flow splitting ratio corresponding to each grid according to the number of the first sampling points corresponding to each grid, the number of the second sampling points corresponding to each grid, the total flow of each first cell, and the total flow of each second cell;

the processing unit is further configured to determine, according to the second network system splitting ratio corresponding to each grid, a plurality of first grids in which the second network system splitting ratio is smaller than or equal to a second preset threshold from the plurality of grids.

9. The device for geographically and chemically evaluating 5G traffic offload capability of a mobile network according to claim 8, wherein the processing unit is further configured to determine a first network traffic corresponding to each grid according to the number of the first sampling points corresponding to each grid and a total traffic of each first cell;

the processing unit is further configured to determine a second network system flow corresponding to each grid according to the number of the plurality of second sampling points corresponding to each grid and the total flow of each second cell;

the processing unit is further configured to determine a second network system split ratio corresponding to each grid according to the first network system traffic corresponding to each grid and the second network system traffic corresponding to each grid.

10. The device for geographically and chemically evaluating 5G traffic offload capability of a mobile network according to claim 9, wherein the processing unit is further configured to determine, according to the number of the first sampling points corresponding to each grid, a ratio of the first sampling points corresponding to each grid, where one ratio of the first sampling points corresponds to one first cell;

the processing unit is further configured to determine a traffic of each first cell corresponding to each grid according to a plurality of first sampling point occupancy rates corresponding to each grid and the total traffic of each first cell;

the processing unit is further configured to determine a first network system flow corresponding to each grid according to the flow of each first cell corresponding to each grid.

11. The device for geographically and chemically evaluating 5G traffic offload capability of a mobile network according to claim 9, wherein the processing unit is further configured to determine, according to the number of the second sampling points corresponding to each grid, a ratio of the second sampling points corresponding to each grid, where one ratio of the second sampling points corresponds to one second cell;

the processing unit is further configured to determine a traffic of each second cell corresponding to each grid according to a plurality of second sampling point occupancy rates corresponding to each grid and the total traffic of each second cell;

the processing unit is further configured to determine a second network system flow rate corresponding to each grid according to the flow rate of each second cell corresponding to each grid.

12. The device for geographically and chemically evaluating 5G traffic offload capability of a mobile network according to claim 7, wherein the processing unit is further configured to check an antenna azimuth angle and a downtilt angle corresponding to each of the second cells when the third sampling point occupancy is smaller than a third threshold and the target distance is smaller than a fourth threshold;

the processing unit is further configured to, when the third sampling point ratio is smaller than the third threshold, the target distance is greater than or equal to the fourth threshold, and the target traffic is greater than or equal to a fifth threshold, enhance the signal strength corresponding to each of the plurality of second cells;

the processing unit is further configured to increase the number of first terminal devices accessed to each of the plurality of second cells when the third sampling point ratio is greater than or equal to the third threshold, the target traffic is greater than or equal to a fifth threshold, and the number of first terminal devices included in the plurality of first grids is less than a sixth threshold, where the first terminal devices are terminal devices supporting access to a second network system;

the processing unit is further configured to increase the number of first terminal devices accessed by each of the plurality of second cells when the third sampling point ratio is greater than or equal to the third threshold and the number of second terminal devices included in the plurality of first grids is greater than or equal to a seventh threshold.

13. An electronic device, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs including computer executable instructions, which when executed by the electronic device, cause the electronic device to execute the computer executable instructions stored in the memory to cause the electronic device to perform a mobile network 5G traffic offload capability geographic evaluation method as recited in any one of claims 1-6.

14. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a mobile network 5G traffic offload capability geographical assessment method according to any of claims 1-6.