CN116017526A - Network performance evaluation method, device, equipment and storage medium - Google Patents

Network performance evaluation method, device, equipment and storage medium Download PDF

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CN116017526A
CN116017526A CN202211521155.0A CN202211521155A CN116017526A CN 116017526 A CN116017526 A CN 116017526A CN 202211521155 A CN202211521155 A CN 202211521155A CN 116017526 A CN116017526 A CN 116017526A
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area
building
target
base station
network performance
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南作用
陈任翔
张千坤
朱悦
张斌
尚海波
王亚
李莉
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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Abstract

The application discloses a network performance evaluation method, a device, equipment and a storage medium, which relate to the technical field of communication and are used for improving the efficiency and accuracy of evaluating the network coverage performance of a base station. Comprising the following steps: acquiring network loss parameters, target base station information and environment information corresponding to a target area, wherein the target area comprises a plurality of buildings, the network loss parameters are used for indicating the loss generated by the buildings on network signal transmission, the target base station information is used for indicating the operation parameters and the position information of target base stations corresponding to the target area, and the environment information is used for indicating the position information and the building size of each building; inputting network loss parameters, target base station information and environment information into a preset simulation model, and outputting signal intensity corresponding to each unit area in the target area; and determining the network performance of the target base station according to the signal strength corresponding to each unit area in the target area.

Description

Network performance evaluation method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a network performance evaluation method, apparatus, device, and storage medium.
Background
Currently, with the continuous development of communication technology, the number of communication network facilities is increased, and the coverage area of a communication network is also increased. As the coverage of the communication network gradually tends to be saturated, the planning direction of the communication network starts to develop toward the deep coverage of the network. As one of the main directions in network depth coverage, coverage of the interior of a building (e.g., in a building room) by a mobile network is a current hot spot problem. Therefore, it is necessary to evaluate the indoor network performance, so as to determine the coverage condition of the current network by analyzing the related performance indexes of the network coverage. In the related art, the method for evaluating the indoor coverage performance under the outdoor macro station scheme mainly evaluates the coverage radius of the whole indoor shallow layer coverage based on a scene in a link budget mode, or performs simulation prediction on an indoor network through network modeling, so as to evaluate the indoor coverage performance of a building.
However, in the above methods, qualitative methods are adopted to roughly evaluate the network coverage performance, and the evaluation accuracy is low. Therefore, the efficiency and the accuracy of evaluating the network coverage performance of the base station are poor.
Disclosure of Invention
The application provides a network performance evaluation method, a device, equipment and a storage medium, which are used for improving the efficiency and accuracy of evaluating the network coverage performance of a base station.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, a network performance evaluation method is provided, the method comprising: acquiring network loss parameters, target base station information and environment information corresponding to a target area, wherein the target area comprises a plurality of buildings, the network loss parameters are used for indicating loss generated by the buildings on network signal transmission, the building types of the buildings are different, the network loss parameters corresponding to the buildings are different, the target base station information is used for indicating operation parameters and position information of target base stations corresponding to the target area, and the environment information is used for indicating position information and building size of each building; inputting network loss parameters, target base station information and environment information into a preset simulation model, and outputting signal intensity corresponding to each unit area in the target area; and determining the network performance of the target base station according to the signal strength corresponding to each unit area in the target area.
In one design, the method further comprises: determining a building type of each of the plurality of buildings according to a building size of each of the plurality of buildings included in the target area, the building type including: the building comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to the first height, the height of a building corresponding to the second building type is larger than the first height and smaller than the second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height; network loss parameters corresponding to each of the first building type, the second building type, and the third building type are determined.
In one design, after outputting the signal strength corresponding to each unit area in the target area, the method further includes: dividing the target area into n+1 sub-areas according to N preset thresholds and the signal intensity corresponding to each unit area in the target area, wherein the N preset thresholds are used for determining n+1 signal intensity intervals, and one signal intensity interval corresponds to one sub-area.
In one design, the method further comprises: determining the total area of the target area and the area of each sub-area in the N+1 sub-areas according to the environment information corresponding to the target area; according to the signal intensity corresponding to each unit area in the target area, determining the network performance of the target base station comprises the following steps: determining a first network performance parameter of the target base station according to the total area of the target area and the area of the target subarea in the N+1 subareas; and determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value.
In one design, each of the n+1 sub-areas includes a first area that is a building area in the sub-area and a second area that is a non-building area in the sub-area; the method further comprises the steps of: determining the total building area corresponding to the plurality of buildings according to the environment information corresponding to the target area; according to the signal intensity corresponding to each unit area in the target area, determining the network performance of the target base station comprises the following steps: determining a second network performance parameter of the target base station according to the total building area corresponding to the plurality of buildings and the area of the first area in the target subarea; and determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value and the magnitude relation between the second network performance parameter and the second threshold value.
In a second aspect, there is provided a network performance evaluation apparatus, the apparatus comprising: the device comprises an acquisition unit, a processing unit and a determination unit; the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring network loss parameters, target base station information and environment information corresponding to a target area, the target area comprises a plurality of buildings, the network loss parameters are used for indicating the loss generated by the buildings on network signal transmission, the building types of the buildings are different, the network loss parameters corresponding to the buildings are different, the target base station information is used for indicating the operation parameters and the position information of the target base station corresponding to the target area, and the environment information is used for indicating the position information and the building size of each building; the processing unit is used for inputting network loss parameters, target base station information and environment information into a preset simulation model and outputting signal strength corresponding to each unit area in the target area; and the determining unit is used for determining the network performance of the target base station according to the signal intensity corresponding to each unit area in the target area.
In one design, a determining unit for determining a building type of each of a plurality of buildings included in a target area according to a building size of each of the plurality of buildings, the building type including: the building comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to the first height, the height of a building corresponding to the second building type is larger than the first height and smaller than the second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height; and the determining unit is used for determining network loss parameters corresponding to each of the first building type, the second building type and the third building type.
In one design, the processing unit is configured to divide the target area into n+1 sub-areas according to N preset thresholds and signal strengths corresponding to each unit area in the target area, where the N preset thresholds are used to determine n+1 signal strength intervals, and one signal strength interval corresponds to one sub-area.
In one design, a determining unit is configured to determine, according to environmental information corresponding to a target area, a total area of the target area, and an area of each sub-area in n+1 sub-areas; a determining unit, configured to determine a first network performance parameter of the target base station according to a total area of the target area and an area of a target sub-area of the n+1 sub-areas; and the determining unit is used for determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value.
In one design, each of the n+1 sub-areas includes a first area that is a building area in the sub-area and a second area that is a non-building area in the sub-area; the determining unit is used for determining the total building area corresponding to the plurality of buildings according to the environment information corresponding to the target area; a determining unit, configured to determine a second network performance parameter of the target base station according to a total building area corresponding to the multiple buildings and an area of a first area in the target sub-area; and the determining unit is used for determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value and the magnitude relation between the second network performance parameter and the second threshold value.
In a third aspect, an electronic device is provided, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the electronic device, cause the electronic device to perform a network performance assessment method as in 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 network performance assessment method as in the first aspect.
The application provides a network performance evaluation method, a device, equipment and a storage medium, which are applied to a scene of evaluating network coverage performance of a target base station. Firstly, acquiring network loss parameters which correspond to a target area and are used for indicating that buildings generate loss to network signal transmission, target base station information which is used for indicating operation parameters and position information of target base stations which correspond to the target area, and environment information which is used for indicating position information and building size of each building; the network loss parameters, the target base station information and the environment information are input into a preset simulation model, the signal intensity corresponding to each unit area inside the building in the target area is output, and then the network performance of the target base station is determined according to the signal intensity corresponding to each unit area in the target area. According to the method, the signal intensity corresponding to each unit area in the target area can be obtained based on the preset simulation model according to the network loss parameter, the target base station information and the environment information corresponding to the target area, and then the network performance of the target base station is determined according to the signal intensity corresponding to each unit area in the target area, so that the evaluation accuracy of the network coverage performance is improved, and the efficiency and the accuracy of evaluating the network coverage performance of the target base station are improved.
Drawings
Fig. 1 is a schematic structural diagram of a network performance evaluation system according to an embodiment of the present application;
fig. 2 is a flowchart of a network performance evaluation method according to an embodiment of the present application;
fig. 3 is a schematic diagram of network loss parameters according to an embodiment of the present application;
fig. 4 is a flowchart of a network performance evaluation method according to an embodiment of the present application;
fig. 5 is a flowchart of a network performance evaluation method according to an embodiment of the present application;
fig. 6 is a flowchart of a network performance evaluation method according to an embodiment of the present application;
fig. 7 is a flowchart fifth of a network performance evaluation method according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a network performance evaluation device according to an embodiment of the present application;
fig. 9 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 the present application, "/" means "or" unless otherwise indicated, for example, a/B may mean a or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Further, "at least one", "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.
Currently, in planning a mobile network, network coverage of an internal environment (indoor) of a building is mainly achieved by means of an outdoor macro station (such as an outdoor base station) for indoor network coverage or by means of an indoor distribution system. The current network performance evaluation method in the scheme of performing network coverage on the indoor space by the outdoor macro station mainly adopts a qualitative mode to roughly determine which buildings may have coverage problems, but in the existing methods (such as the methods mentioned in the background art), the evaluation results are all simple qualitative evaluation on the coverage condition, and in the evaluation process, the loss generated in the transmission process (such as the wall penetration process) of the network is not fully considered, and the evaluation results may have larger deviation.
The network performance evaluation method provided by the embodiment of the application can be applied to a network performance evaluation system. Fig. 1 shows a schematic diagram of a configuration of the network performance evaluation system. As shown in fig. 1, the network performance evaluation system 20 includes: an electronic device 21, a server 22 and a plurality of base stations 23. The server 22 is connected to the electronic device 21 and the plurality of base stations 23, respectively.
The network performance evaluation system 20 may be used for the internet of things, and the network performance evaluation system 20 may include a plurality of central processing units (central processing unit, CPU), a plurality of memories, a storage device storing a plurality of operating systems, and other hardware.
The electronic device 21 may be used for the internet of things and used for implementing data processing, for example, the electronic device 21 may determine the signal strength corresponding to each unit area in the target area based on the network loss parameter corresponding to the target area, the target base station information, and the environmental information, and output the result.
The server 22 is configured to obtain data, for example, a database may be disposed in the server 22, where a network loss parameter and environment information corresponding to the target area are stored in the database, so as to implement data processing by the electronic device 21.
Optionally, the server 22 may also obtain the operation parameters and the location information corresponding to each base station by connecting with a plurality of base stations 23, to obtain the target base station information, and store the target base station information in the database.
The base station 23 is a base station in the target area, and is configured to provide its own operation parameters and location information, so as to implement data processing by the electronic device.
Alternatively, the base station 23 may upload the currently corresponding operation parameters and location information in real time.
In one design, the electronic device 21 may also directly connect to the base station 23 to obtain the operating parameters and location information corresponding to each base station.
A network performance evaluation method provided in the embodiments of the present application is described below with reference to the accompanying drawings.
As shown in fig. 2, a network performance evaluation method provided in the embodiment of the present application includes S201 to S203:
s201, network loss parameters, target base station information and environment information corresponding to the target area are obtained.
The target area comprises a plurality of buildings, network loss parameters are used for indicating loss generated by the buildings on network signal transmission, the buildings are different in building type, the corresponding network loss parameters of the buildings are different, the target base station information is used for indicating operation parameters and position information of the target base station corresponding to the target area, and the environment information is used for indicating position information and building size of each building.
It will be appreciated that the target area is the area where the investigation analysis is required, i.e. the area where the network performance assessment is required.
Alternatively, the target area may be an administrative area (e.g., a province, B city, C district/county, etc.), a specific scene area (e.g., an industrial park, educational park, hospital, school, residential area, etc.), or other custom area, etc.
Optionally, as shown in table one, the network loss parameter may be an outer wall penetration loss mapping table corresponding to different network frequency bands of different building types.
List one
Figure BDA0003973892980000061
Alternatively, the frequency band refers to a frequency range of radio waves corresponding to the base station.
Optionally, a signal transmitting device may be disposed at a preset position, and at least one signal receiving device is disposed in a building corresponding to each building type in different building types, and through analyzing parameters of signals received by the signal receiving device, the penetration loss of the outer wall corresponding to different building types in different frequency bands is determined.
Optionally, as shown in table one, the network loss parameter may further include an indoor step loss mapping table corresponding to different network frequency bands for different building types.
It should be noted that the indoor step loss is understood to be a loss of the network signal due to a transmission distance in the indoor space.
Optionally, the signal transmitting device may be set at a preset position, and the plurality of signal receiving devices may be set at different positions in the building corresponding to each building type in different building types, and the indoor stepping loss corresponding to different building types in different frequency bands is determined by analyzing the parameters of the signals received by the signal receiving devices.
Optionally, as shown in fig. 3, in the embodiment of the present application, the influence of the outer wall of the building on the signal transmission in the building may be determined by the penetration loss of the outer wall, and the influence of different positions in the building on the signal transmission may be determined by the indoor step loss.
In general, when acquiring size information corresponding to a building, only the outline of the building is obtained, and information such as the internal structure of the building, wall information, and materials used for the building cannot be obtained. Therefore, after the external wall loss parameters are introduced, the signal loss caused by the aspects of the internal structure of the building, the wall information, the materials used for the building and the like can be indicated through the additional indoor step loss.
Optionally, the target base station corresponding to the target area is at least one base station in the target area.
Optionally, the target base station corresponding to the target area may further include a base station within a preset range outside the boundary of the target area, for example, a base station within two kilometers outside the boundary of the target area.
Alternatively, as shown in table two, the location information of the target base station may be geographic location information corresponding to the target base station, such as latitude and longitude information corresponding to the target base station.
Optionally, as shown in table two, the target base station information may further include information of an operator, an operation state, and the like.
Watch II
Base station Longitude and latitude Latitude of latitude Operators (operators) Status of
A 120.933E 31.0219N X In operation
Optionally, the running state is used for indicating the current running state of the base station, such as the states of waiting to be built, waiting to be network-connected, commissioning, running on the current network, and the like.
Alternatively, as shown in table three, the operating parameter of the target base station may be each sector of the at least one sector corresponding to the target base station, and the corresponding operating parameter may be at least one of the plurality of operating parameters listed in table three.
Alternatively, the environmental information may be geographic information system (Geographic Information System, GIS) map data within the target area, including ground feature information, terrain information, elevation information, vector information, etc. of the target area.
Alternatively, the ground object information of the target area may include position information, size information, shape information, and the like of each building in the target area.
Optionally, the environmental information may further include information points (Point of Information, POI) information, such as a name corresponding to each feature.
Watch III
Figure BDA0003973892980000081
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Table four
Figure BDA0003973892980000091
TABLE five
Figure BDA0003973892980000101
Optionally, as shown in table four and table five, the operation parameters of the target base station may further include each cell of the at least one cell corresponding to each sector, and at least one of the plurality of operation parameters listed in table four and table five.
It will be appreciated that the specific data in the foregoing table one, table two, table three, table four, table five are merely exemplary data, and in specific implementations, the data may vary according to the target area, the data acquisition time, the target base station, and the like.
S202, inputting network loss parameters, target base station information and environment information into a preset simulation model, and outputting signal strength corresponding to each unit area in the target area.
Alternatively, the signal strength corresponding to each unit area may be the signal strength corresponding to each square meter in the target area.
Optionally, the preset model may implement simulation prediction of the network state of the target area according to the network loss parameter, the target base station information, and the environmental information, so as to obtain the signal strength corresponding to each unit area (for example, each square meter) in the target area.
In one design, a relationship function between the floor and the height of the unit area may also be provided, and the relationship function is input to a preset model.
The signal intensities corresponding to the unit areas are different due to the different heights of the unit areas.
Optionally, the relation function between the floor and the height of the unit area is as shown in formula one:
h b =(n-1)h 1 +h u Equation one
Wherein h is b Is the height of the unit area, n is the floor corresponding to the unit area, h 1 Is the average height of a single floor, h u Is a preset height parameter.
Alternatively, the height of the building may be determined according to the building size, and the average height of the single-story building may be determined based on the number of floors of the building.
Alternatively, the preset height parameter may be selected according to specific evaluation needs.
In an exemplary embodiment, in one design, the network coverage performance in the embodiment of the present application may be used to indicate the network state sensing condition of the target base station by the network user corresponding to the target base station, where when determining the influence of the height of the unit area on the signal strength, the preset height parameter may be determined as the preset user height (i.e. at this time h u The network performance evaluation method is characterized in that the network performance evaluation method is a preset user height or a terminal device height from the ground, so that a network performance evaluation result is closer to user perception, and accuracy of network coverage performance evaluation is further improved.
Optionally, when the preset height parameter is a preset user height, the preset user height may be further determined according to the current network situation and the evaluation object.
By way of example, current fifth generation mobile communication technology (5th Generation Mobile Communication Technology,5G) services mainly include voice services and data services, and when the object of network performance assessment is mainly 5G services, the preset user height may be 1-1.7m; when the evaluation object of the network performance is mainly a data service in the 5G service, the preset user height may be set to 1-1.5m, and when the evaluation object of the network performance is mainly a voice service in the 5G service, the preset user height may be set to 1.5-1.7m.
S203, determining the network performance of the target base station according to the signal intensity corresponding to each unit area in the target area.
Optionally, the network performance of the target base station may be the network coverage performance of the target base station to the target area.
Optionally, the area of all the unit areas corresponding to the signal intensity meeting the preset condition can be determined through the signal intensity corresponding to each unit area in the target area, and then the network coverage performance of the target base station to the target area is determined according to the area of all the unit areas corresponding to the signal intensity meeting the preset condition.
Alternatively, the signal strength corresponding to each unit area may be a network signal parameter corresponding to each unit area obtained through a preset simulation model.
Optionally, the network signal parameter corresponding to each unit area may be selected according to specific use requirements.
For example, in case that the current network is a 5G network, the network signal parameter corresponding to each unit area may be a synchronization reference signal received power (Synchronization Signal Reference Signal Received Power, SS RSRP) corresponding to each unit area.
In one possible implementation, for the target base station information and the environment information, all base station information and environment information in a preset area may be acquired, and the preset area may be an area including the target area.
For example, the preset area may be a city, the target area is a county in the a city, all base station information and environment information in the a city are first obtained, the target area a county needing to be concerned is determined, and then the target base station information and environment information of the a county are determined according to all base station information and environment information in the a city.
Alternatively, there may be multiple target areas, e.g., the target areas may be a county and b county in city a.
It should be noted that, the network performance evaluation method in the embodiment of the present application is mainly applied to a scene where an outdoor macro station covers deep indoor.
In the embodiment of the application, firstly, network loss parameters which correspond to a target area and are used for indicating that a building generates loss to network signal transmission, target base station information which is used for indicating operation parameters and position information of a target base station which corresponds to the target area, and environment information which is used for indicating position information and building size of each building are acquired; the network loss parameters, the target base station information and the environment information are input into a preset simulation model, the signal intensity corresponding to each unit area inside the building in the target area is output, and then the network performance of the target base station is determined according to the signal intensity corresponding to each unit area in the target area. According to the method, the signal intensity corresponding to each unit area in the target area can be obtained based on the preset simulation model according to the network loss parameter, the target base station information and the environment information corresponding to the target area, and then the network performance of the target base station is determined according to the signal intensity corresponding to each unit area in the target area, so that the evaluation accuracy of the network coverage performance is improved, and the efficiency and the accuracy of evaluating the network coverage performance of the target base station are improved.
In one design, as shown in fig. 4, in a network performance evaluation method provided in the embodiment of the present application, S301 to S302 are further included:
s301, determining the building type of each building in the plurality of buildings according to the building size of each building in the plurality of buildings included in the target area.
Wherein, the building type includes: the building system comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to the first height, the height of a building corresponding to the second building type is larger than the first height and smaller than the second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height.
Alternatively, the building size of each building may include a height of each building, and the building type of each building is determined according to the height of each building.
Optionally, the first height and the second height may be determined according to specific use requirements, and it may be understood that, due to different heights of the building, different strength requirements on the building, building materials used for walls of the building may also be different, so that corresponding network loss parameters may also be different.
For example, the first height may be 20m and the second height may be 40m, and in this case, the building having a height of less than or equal to 20m is a building corresponding to the first building type, the building having a height of greater than 20m and less than 40m is a building corresponding to the second building type, and the building having a height of greater than or equal to 40m is a building corresponding to the third building type.
Optionally, when the target base station covers the target area, building in the target area may be modeled to obtain size information of each building in the target area, and the obtained size information of each building in the target area is stored as a building layer file.
Alternatively, the architectural layer file may be a bil file or a Tab file.
Alternatively, determining the building type of each of the plurality of buildings may be understood as assigning each of the plurality of buildings to a corresponding category of the building.
Optionally, before each building in the plurality of buildings is assigned to the category corresponding to the building, it is necessary to ensure that the building layer file is a Tab-format file.
Optionally, building layer files may also include building function classification information for each building.
In one design, the building type of each building may also be determined based on the building function classification information for each building included in the building layer file.
The building corresponding to the first building type can be a building corresponding to functional classification information such as villages in cities, shops along streets, school teaching buildings, roof sport places and the like; the building corresponding to the second building type can be a building corresponding to functional classification information such as a school library, a school dormitory, a hotel, a middle-sized mall, a hospital, an office building and the like; the building corresponding to the third building type can be a building corresponding to functional woolen information such as a high-grade hotel, a large market, a closed large gymnasium, a high-grade residential district and the like.
Optionally, for the function classification information corresponding to each building type, adjustment and modification can be performed according to specific use requirements.
For example, in one possible implementation, a building type corresponding to a small school dormitory (e.g., a school dormitory of a primary school or a school counsel class) may be determined as the first building type.
Alternatively, the building size may include the individual projected area of each building.
In one design, the building type of each building may also be determined based on the size of the individual projected area of each building.
By way of example, the building corresponding to the first building type may be a building having a projected area of the cells of less than or equal to 100 square meters; the building corresponding to the second building type may be a building having a single projected area of greater than 100 square meters and a single projected area of less than or equal to 300 square meters; the building corresponding to the third building type may be a building having a projected area of the unit greater than 300 square meters.
S302, determining network loss parameters corresponding to each of the first building type, the second building type and the third building type.
Optionally, according to the first table and the second table, the network loss parameters corresponding to each building type under different frequency bands can be determined.
It should be noted that, for different building types, there is a difference in the requirements of the corresponding wall building, resulting in a large difference in the network loss parameters corresponding to the different building types.
In the embodiment of the invention, by determining the building types corresponding to different buildings in the target area and further determining the network loss parameters corresponding to the buildings according to the building types, when the signal intensity corresponding to each unit area in the target area is subjected to simulation prediction, the influence on the signal intensity corresponding to the unit area caused by different positions of each unit area in the building and different building types of the buildings corresponding to each unit area is fully considered, so that the accuracy of evaluating the network coverage performance of the base station is improved.
In one design, as shown in fig. 5, in a network performance evaluation method provided in the embodiment of the present application, after S202, the method further includes S401:
s401, dividing the target area into N+1 sub-areas according to N preset thresholds and the signal intensity corresponding to each unit area in the target area.
The N preset thresholds are used for determining N+1 signal intensity intervals, and one signal intensity interval corresponds to one sub-area.
Alternatively, the N preset thresholds may be preset thresholds determined according to specific usage needs or according to related industry standards.
For example, when the signal strength corresponding to each unit area is SS RSRP parameter corresponding to each unit area, the N preset thresholds may be 8 preset thresholds, which are respectively-120 dBm, -115dBm, -112dBm, -110dBm, -105dBm, -100dBm, -95dBm, and-90 dBm.
Optionally, according to the above 8 preset thresholds, the obtained signal intensities corresponding to all unit areas may be divided into 9 sets, which are SS RSRP respectively 0 <-120dBm;-120dBm≤SS RSRP 1 ;-115dBm≤SS RSRP 2 ;-112dBm≤SS RSRP 3 ;-110dBm≤SS RSRP 4 ;-105dBm≤SS RSRP 5 ;-100dBm≤SS RSRP 6 ;-95dBm≤SS RSRP 7 ;-90dBm≤SS RSRP 8 . Each sub-region is a region corresponding to each set.
In the embodiment of the present application, through N preset thresholds, according to the signal intensity corresponding to each unit area, the unit area is divided into 9 categories, so as to obtain 9 sub-areas, each sub-area corresponds to a signal intensity interval, and then according to different performance evaluation criteria, a required signal intensity interval is selected, and then based on the sub-area corresponding to the signal intensity interval, the required network performance is obtained, so as to improve the efficiency of evaluating the network coverage performance of the target base station.
In one design, as shown in fig. 6, in the network performance evaluation method provided in the embodiment of the present application, S501 is further included, and S203 includes S502-S503:
s501, determining the total area of the target area and the area of each sub-area in the N+1 sub-areas according to the environment information corresponding to the target area.
Optionally, at least one unit area corresponding to the sub-area may be determined, and the area of the sub-area may be determined according to the area of each unit area in the at least one unit area, so as to obtain the area of each sub-area in the n+1 sub-areas.
S502, determining a first network performance parameter of the target base station according to the total area of the target area and the area of the target subarea in the N+1 subareas.
Optionally, the required target signal intensity interval can be determined according to specific performance evaluation standards or evaluation requirements, and then the area of the target sub-area is determined according to the target sub-area corresponding to the target signal intensity interval.
Exemplary, when the signal strength corresponding to each unit area is the SS RSRP parameter corresponding to each unit area, and the related industry standards or evaluation requirements require determining the network coverage performance with SS RSRP greater than or equal to-100 dBm, the SS RSRP may be determined 6 Corresponding unit areaThe total area is the area of the target subregion.
Alternatively, the first network performance parameter of the target base station may be a ratio of an area of the target sub-area to a total area of the target area, as shown in formula two:
Figure BDA0003973892980000161
wherein p is t T, a first network performance parameter of the target base station i For the area of the target subregion i, S 0 Is the total area of the target area.
Illustratively, the first network performance parameter of the target base station is 95% when the area of the target area is 400 square meters and the area of the target sub-area is 380 square meters.
Alternatively, the ratio of the area of the target sub-area to the total area of the target area may be understood as the overall network coverage of the target area by the target base station.
S503, determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value.
Optionally, the first threshold and the network performance judgment condition of the target base station may be determined according to specific use needs or according to related standards.
For example, the first threshold may be 90% and it is determined that the first network performance parameter of the target base station is satisfactory when the first network performance parameter of the target base station is 90% or more.
Optionally, when the magnitude relation between the first network performance parameter and the first threshold value does not meet the correlation requirement, the correlation parameter of the target base station needs to be adjusted, optimized and re-evaluated.
In the embodiment of the application, the network performance of the target base station is qualitatively evaluated by determining the first network performance parameter of the target base station and according to the magnitude relation between the first network performance parameter of the target base station and the first threshold value, so that the further performance evaluation requirement is met, and the multi-dimensional evaluation of the network coverage performance of the target base station is realized.
In one design, each of the n+1 sub-areas includes a first area that is a building area in the sub-area and a second area that is a non-building area in the sub-area; as shown in fig. 7, in the network performance evaluation method provided in the embodiment of the present application, S601 is further included, and S203 includes S602 to S603:
s601, determining the total building area corresponding to the plurality of buildings according to the environment information corresponding to the target area.
Alternatively, the total building area corresponding to the plurality of buildings may be understood as the total building area of the target area, and the building area corresponding to each building may be determined according to the building sizes corresponding to each of the plurality of buildings, and further the total building area of the target area may be determined according to the building area corresponding to each building.
Alternatively, the total building area corresponding to the plurality of buildings may be determined according to the area of each building in the target area, as shown in equation three:
Figure BDA0003973892980000171
wherein S is z0 For the total building area corresponding to a plurality of buildings, N is the number of buildings in the target area, S i Is the area of the ith building.
Optionally, the area of the building is the projected area of the building.
S602, determining a second network performance parameter of the target base station according to the total building area corresponding to the plurality of buildings and the area of the first area in the target subarea.
Alternatively, the position information of each building in the target area may be determined according to the environmental information of the target area, and the first area in each sub-area may be determined based on the position information of each building in the target area and the position of each unit area.
Alternatively, the area of the first area in the target sub-area may be determined according to the area of each building in the target sub-area, as shown in formula four:
Figure BDA0003973892980000172
wherein S is zc For the area of the first area in the target sub-area, N is the number of buildings in the target sub-area,
Figure BDA0003973892980000173
is the area of the ith building in the target sub-area.
It should be noted that, due to network coverage problems, for the ith building, the area of the ith building in the target area may be different from the area of the ith building in the target area,
Figure BDA0003973892980000174
Optionally, the second network performance parameter of the target base station may be a ratio of an area of the first area in the target sub-area to a total building area corresponding to the plurality of buildings, as shown in a formula five:
Figure BDA0003973892980000175
wherein p is bt S is a second network performance parameter of the target base station zc Is the area of the first region in the target subregion, S z0 Is the total building area corresponding to a plurality of buildings.
Illustratively, the second network performance parameter of the target base station is 60% when the area of the first one of the target sub-areas is 120 square meters and the total building area of the target area is 200 square meters.
Alternatively, the ratio of the area of the first area in the target sub-area to the total building area corresponding to the plurality of buildings may be understood as the network coverage of the interior of the building in the target area by the target base station.
S603, determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value and the magnitude relation between the second network performance parameter and the second threshold value.
Optionally, the second threshold and the network performance judgment condition of the target base station may be determined according to specific use needs or according to related standards.
For example, the second threshold may be 50%, and it is determined that the first network performance parameter of the target base station meets the requirement when the first network performance parameter of the target base station is 90% or more and the second network performance parameter of the target base station is 50% or more.
Optionally, when the magnitude relation between the first network performance parameter and the first threshold value or the magnitude relation between the second network performance parameter and the second threshold value does not meet the correlation requirement, the correlation parameter of the target base station needs to be adjusted, optimized and re-evaluated.
In one possible implementation, when the coverage performance of the target base station to the specific building network is required, the ratio of the total area of the specific building to the total area of the specific building in the target sub-area may be determined, as shown in the formula six:
Figure BDA0003973892980000181
wherein p is dt For the coverage performance of the target base station to the specific building network, S dc For the total area of a particular building in the target sub-area S d0 Is the total area of a particular building.
Illustratively, when it is desired to determine the network coverage performance of the target base station for building a and building B, the area of building a is 100 square meters, the area of building B is 120 square meters, the area of building a in the target sub-area is 80 square meters, and the area of building B in the target sub-area is 30 square meters, at which time the network coverage performance of the target base station for building a and building B is 50%.
In the embodiment of the application, the network performance of the target base station is qualitatively evaluated by determining the second network performance parameter of the target base station and according to the magnitude relation between the first network performance parameter of the target base station and the first threshold value and the magnitude relation between the second network performance parameter of the target base station and the second threshold value, so that the requirement of further performance evaluation is met, and the multi-dimensional evaluation of the network coverage performance of the target base station is realized.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application may divide functional modules of a network performance evaluation device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented.
Fig. 8 is a schematic structural diagram of a network performance evaluation device according to an embodiment of the present application. As shown in fig. 8, the network performance evaluation device 40 is used to improve the efficiency and accuracy of evaluating the network coverage performance of the base station, for example, to perform a network performance evaluation method shown in fig. 2. The network performance evaluation device 40 includes: an acquisition unit 401, a processing unit 402, a determination unit 403.
The obtaining unit 401 is configured to obtain network loss parameters corresponding to a target area, target base station information, and environment information, where the target area includes a plurality of buildings, the network loss parameters are used to indicate loss generated by the buildings on network signal transmission, building types of the buildings are different, the network loss parameters corresponding to the buildings are different, the target base station information is used to indicate operation parameters and position information of the target base station corresponding to the target area, and the environment information is used to indicate position information and building size of each building.
The processing unit 402 is configured to input the network loss parameter, the target base station information, and the environmental information into a preset simulation model, and output a signal strength corresponding to each unit area in the target area.
A determining unit 403, configured to determine network performance of the target base station according to the signal strength corresponding to each unit area in the target area.
In one design, the determining unit 403 is configured to determine a building type of each of the plurality of buildings according to a building size of each of the plurality of buildings included in the target area, the building type including: the building system comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to the first height, the height of a building corresponding to the second building type is larger than the first height and smaller than the second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height.
A determining unit 403, configured to determine a network loss parameter corresponding to each of the first building type, the second building type, and the third building type.
In one design, the processing unit 402 is configured to divide the target area into n+1 sub-areas according to N preset thresholds and signal strengths corresponding to each unit area in the target area, where the N preset thresholds are used to determine n+1 signal strength intervals, and one signal strength interval corresponds to one sub-area.
In one design, the determining unit 403 is configured to determine, according to the environmental information corresponding to the target area, a total area of the target area, and an area of each of the n+1 sub-areas.
A determining unit 403, configured to determine a first network performance parameter of the target base station according to the total area of the target area and the area of the target sub-area of the n+1 sub-areas.
A determining unit 403, configured to determine the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold.
In one design, each of the n+1 sub-areas includes a first area that is a building area in the sub-area and a second area that is a non-building area in the sub-area.
A determining unit 403, configured to determine a total building area corresponding to the plurality of buildings according to the environmental information corresponding to the target area.
A determining unit 403, configured to determine a second network performance parameter of the target base station according to the total building area corresponding to the plurality of buildings and the area of the first area in the target sub-area.
A determining unit 403, configured to determine the network performance of the target base station according to the magnitude relation between the first network performance parameter and the first threshold value and the magnitude relation between the second network performance parameter and the second threshold value.
In the case of implementing the functions of the integrated modules in the form of hardware, another possible structural schematic diagram of the electronic device involved in the foregoing embodiment is provided in the embodiments of the present application. As shown in fig. 9, an electronic device 70 improves the efficiency and accuracy of evaluating network coverage performance of a base station, for example, for performing a network performance evaluation method shown in fig. 2. The electronic device 70 comprises a processor 701, a memory 702 and a bus 703. The processor 701 and the memory 702 may be connected by a bus 703.
The processor 701 is a control center of the communication device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 701 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 701 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 9.
Memory 702 may be, but is not limited to, read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, as well as electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 702 may exist separately from the processor 701, and the memory 702 may be connected to the processor 701 through the bus 703 for storing instructions or program code. The processor 701, when calling and executing instructions or program code stored in the memory 702, is capable of implementing a network performance assessment method provided in an embodiment of the present application.
In another possible implementation, the memory 702 may also be integrated with the processor 701.
Bus 703 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 9, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 9 does not constitute a limitation of the electronic device 70. The electronic device 70 may include more or fewer components than shown in fig. 9, or may combine certain components or a different arrangement of components.
As an example, in connection with fig. 8, the acquisition unit 401, the processing unit 402, and the determination unit 403 in the network performance evaluation apparatus 40 realize the same functions as those of the processor 701 in fig. 9.
Optionally, as shown in fig. 9, the electronic device 70 provided in the embodiment of the present application may further include a communication interface 704.
Communication interface 704 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 704 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In one design, the electronic device provided in the embodiments of the present application may further include a communication interface integrated into the processor.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the application further provides a computer readable storage medium, in which instructions are stored, and when the computer executes the instructions, the computer executes each step in the method flow shown in the method embodiment.
Embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform a network performance assessment method as in the method embodiments described above.
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 a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer-readable storage medium known 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. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context 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 above-mentioned method, the technical effects that can be obtained by the electronic device, the computer readable storage medium, and the computer program product may also refer to the above-mentioned method embodiments, and the embodiments of the present application are not repeated herein.
The foregoing is merely a specific embodiment of the present application, but the protection 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 in the protection scope of the present application.

Claims (12)

1. A method of evaluating network performance, the method comprising:
acquiring network loss parameters, target base station information and environment information corresponding to a target area, wherein the target area comprises a plurality of buildings, the network loss parameters are used for indicating the loss generated by the buildings on network signal transmission, the building types of the buildings are different, the network loss parameters corresponding to the buildings are different, the target base station information is used for indicating the operation parameters and the position information of the target base station corresponding to the target area, and the environment information is used for indicating the position information and the building size of each building;
inputting the network loss parameters, the target base station information and the environment information into a preset simulation model, and outputting the signal intensity corresponding to each unit area in the target area;
And determining the network performance of the target base station according to the signal strength corresponding to each unit area in the target area.
2. The network performance assessment method according to claim 1, wherein the method further comprises:
determining a building type of each of the plurality of buildings included in the target area according to a building size of each of the plurality of buildings, the building type including: the building comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to a first height, the height of a building corresponding to the second building type is larger than the first height and smaller than a second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height;
and determining the network loss parameters corresponding to each of the first building type, the second building type and the third building type.
3. The network performance evaluation method according to claim 1 or 2, wherein after the outputting of the signal strength corresponding to each unit area in the target area, the method further comprises:
Dividing the target area into N+1 sub-areas according to N preset thresholds and the signal intensity corresponding to each unit area in the target area, wherein the N preset thresholds are used for determining N+1 signal intensity intervals, and one signal intensity interval corresponds to one sub-area.
4. A network performance assessment method according to claim 3, characterised in that said method further comprises:
determining the total area of the target area and the area of each sub-area in the N+1 sub-areas according to the environment information corresponding to the target area;
the determining the network performance of the target base station according to the signal strength corresponding to each unit area in the target area includes:
determining a first network performance parameter of the target base station according to the total area of the target area and the area of a target sub-area in the N+1 sub-areas;
and determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and a first threshold value.
5. The network performance evaluation method of claim 4, wherein each of the n+1 sub-areas includes a first area and a second area, the first area being a building area in a sub-area, the second area being a non-building area in a sub-area; the method further comprises the steps of:
Determining the total building area corresponding to the plurality of buildings according to the environment information corresponding to the target area;
the determining the network performance of the target base station according to the signal strength corresponding to each unit area in the target area includes:
determining a second network performance parameter of the target base station according to the total building area corresponding to the plurality of buildings and the area of the first area in the target subarea;
and determining the network performance of the target base station according to the magnitude relation between the first network performance parameter and a first threshold value and the magnitude relation between the second network performance parameter and a second threshold value.
6. A network performance evaluation apparatus, the apparatus comprising: the device comprises an acquisition unit, a processing unit and a determination unit;
the acquisition unit is used for acquiring network loss parameters, target base station information and environment information corresponding to a target area, wherein the target area comprises a plurality of buildings, the network loss parameters are used for indicating the loss generated by the buildings on network signal transmission, the building types of the buildings are different, the network loss parameters corresponding to the buildings are different, the target base station information is used for indicating the operation parameters and the position information of the target base station corresponding to the target area, and the environment information is used for indicating the position information and the building size of each building;
The processing unit is used for inputting the network loss parameter, the target base station information and the environment information into a preset simulation model and outputting the signal intensity corresponding to each unit area in the target area;
and the determining unit is used for determining the network performance of the target base station according to the signal intensity corresponding to each unit area in the target area.
7. The network performance evaluation apparatus according to claim 6, wherein the determination unit is configured to determine a building type of each of the plurality of buildings included in the target area based on a building size of each of the plurality of buildings, the building type including: the building comprises a first building type, a second building type and a third building type, wherein the height of a building corresponding to the first building type is smaller than or equal to a first height, the height of a building corresponding to the second building type is larger than the first height and smaller than a second height, the height of a building corresponding to the third building type is larger than or equal to the second height, and the second height is larger than the first height;
the determining unit is configured to determine the network loss parameter corresponding to each of the first building type, the second building type, and the third building type.
8. The network performance evaluation device according to claim 6 or 7, wherein the processing unit is configured to divide the target area into n+1 sub-areas according to N preset thresholds and signal strengths corresponding to each unit area in the target area, where the N preset thresholds are used to determine n+1 signal strength intervals, and one signal strength interval corresponds to one sub-area.
9. The network performance evaluation device according to claim 8, wherein the determining unit is configured to determine a total area of the target area and an area of each of the n+1 sub-areas according to the environmental information corresponding to the target area;
the determining unit is configured to determine a first network performance parameter of the target base station according to a total area of the target area and an area of a target sub-area of the n+1 sub-areas;
the determining unit is configured to determine network performance of the target base station according to a magnitude relation between the first network performance parameter and a first threshold.
10. The network performance evaluation device of claim 9 wherein each of the n+1 sub-areas comprises a first area and a second area, the first area being a building area in a sub-area and the second area being a non-building area in a sub-area;
The determining unit is used for determining the total building area corresponding to the plurality of buildings according to the environment information corresponding to the target area;
the determining unit is configured to determine a second network performance parameter of the target base station according to a total building area corresponding to the multiple buildings and an area of the first area in the target sub-area;
the determining unit is configured to determine the network performance of the target base station according to a magnitude relation between the first network performance parameter and a first threshold value and a magnitude relation between the second network performance parameter and a second threshold value.
11. 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 comprising computer-executable instructions that, when executed by the electronic device, cause the electronic device to perform a network performance assessment method according to any one of claims 1-5.
12. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computer, cause the computer to perform a network performance assessment method according to any one of claims 1-5.
CN202211521155.0A 2022-11-30 2022-11-30 Network performance evaluation method, device, equipment and storage medium Pending CN116017526A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116582880A (en) * 2023-07-06 2023-08-11 北京小米移动软件有限公司 Signal intensity detection method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116582880A (en) * 2023-07-06 2023-08-11 北京小米移动软件有限公司 Signal intensity detection method and device, electronic equipment and storage medium
CN116582880B (en) * 2023-07-06 2023-10-03 北京小米移动软件有限公司 Signal intensity detection method and device, electronic equipment and storage medium

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