CN114885287A

CN114885287A - Network coverage area determining method and device, electronic equipment and storage medium

Info

Publication number: CN114885287A
Application number: CN202210385299.1A
Authority: CN
Inventors: 罗玉强; 李�杰; 刘杰; 王刚; 刘光明
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-04-13
Filing date: 2022-04-13
Publication date: 2022-08-09
Anticipated expiration: 2042-04-13
Also published as: CN114885287B

Abstract

The application provides a network coverage range determining method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a serving cell corresponding to the user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell and neighboring cell beam information of the neighboring cell according to a measurement report reported by the user equipment; determining a first weight and a first weight coefficient corresponding to the serving cell according to the beam information of the serving cell, and determining a second weight and a second weight coefficient corresponding to the neighbor cell according to the beam information of the neighbor cell; screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude and the first weight of an antenna of a serving cell; determining a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient; and determining the network coverage according to the grid weight. The evaluation of the three-dimensional coverage range of the 5G network can be realized.

Description

Network coverage area determining method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a network coverage, an electronic device, and a storage medium.

Background

With the rapid development of scientific Technology, 5G (5th Generation Mobile Communication Technology, fifth Generation Mobile Communication Technology) networks are widely used.

In the process of building and optimizing the mobile network, the coverage condition of the existing network needs to be known. In The era 1G (1st Generation, first Generation Mobile communication Technology) to 3G (The 3rd Generation electronic communication Technology), DT (Drive Test) and CQT (Call Quality Test) tests are mainly relied on, and in The 4G (The 4Generation Mobile voice communication Technology, 4G network) era, MR (Measurement Report) and other wireless big data, in particular AGPS (Global Positioning System, Assisted GPS Technology) data are provided, so that The evaluation of The 4G full-network coverage becomes more efficient and intelligent.

However, the AGPS data according to the MR only contains latitude and longitude information, and only horizontal positioning is possible, and vertical positioning is not possible. In addition, currently, the MR data of the 5G network has no AGPS data temporarily, the method is not applicable any more temporarily, and coverage evaluation of the 5G network becomes difficult instead.

Therefore, how to evaluate the stereo coverage of the 5G network is an urgent problem to be solved at present.

Disclosure of Invention

The technical problem to be solved by the embodiments of the present application is to provide a coverage area determining method, an apparatus, an electronic device, and a storage medium, so as to solve the technical problem in the prior art that the evaluation of the stereoscopic coverage area of the 5G network cannot be achieved.

In order to solve the foregoing technical problem, an embodiment of the present application provides a method for determining a network coverage area, including:

determining a serving cell corresponding to user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell, and neighboring cell beam information of the neighboring cell according to a measurement report reported by the user equipment;

determining a first weight and a first weight coefficient corresponding to the serving cell according to the beam information of the serving cell, and determining a second weight and a second weight coefficient corresponding to the neighbor cell according to the beam information of the neighbor cell;

screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude of the antenna of the serving cell and the first weight;

determining a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient;

and determining the network coverage according to the grid weight.

Optionally, the determining a first weight and a first weight coefficient corresponding to the serving cell according to the serving cell beam information includes:

acquiring a preset first weight coefficient of the serving cell;

determining a target beam sent by the serving cell to the user equipment according to the beam information of the serving cell;

and determining a first weight of the serving cell according to an included angle between a beam center line of the target beam and a grid center line of a grid area.

Optionally, the determining a second weight and a second weight coefficient corresponding to the neighboring cell according to the beam information of the neighboring cell includes:

determining the serving cell signal strength of the serving cell and the neighbor cell signal strength of the neighbor cell according to the measurement report;

determining a second weight coefficient of the neighboring cell according to the magnitude relation between the signal intensity of the neighboring cell and the signal intensity of the serving cell;

and determining a second weight of the neighbor cell according to an included angle between the beam center line of the neighbor cell and the grid center line of the grid region.

Optionally, the determining a second weight coefficient of the neighboring cell according to the magnitude relationship between the signal strength of the neighboring cell and the signal strength of the serving cell includes:

taking half of the first weight coefficient as a second weight coefficient of the neighboring cell when the signal strength of the neighboring cell is greater than or equal to the signal strength of the serving cell;

and under the condition that the signal intensity of the neighbor cell is smaller than the signal intensity of the serving cell, calculating the ratio of the signal intensity of the neighbor cell to the signal intensity of the serving cell, and determining the ratio as a second weight coefficient of the neighbor cell.

Optionally, the determining a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight, and the second weight coefficient includes:

calculating to obtain a product value of the first weight and the first weight coefficient, and taking the product value as a serving cell weight of the serving cell;

calculating to obtain a product value of the second weight and the second weight coefficient, and taking the product value as a neighbor cell weight of the neighbor cell;

and calculating to obtain a sum of the serving cell weight and the neighbor cell weight, and taking the sum as the grid weight of the target grid region.

Optionally, the determining a network coverage according to the grid weight includes:

determining an updated average weight of the target grid region according to the grid weight, the historical average weight corresponding to the target grid region and the statistical times corresponding to the historical average weight;

determining an updated signal strength corresponding to the target grid region according to the grid weight of the target grid region, the historical average weight corresponding to the target grid region, the statistical times corresponding to the historical average weight, the historical average signal strength of the target grid region and the serving cell signal strength of the serving cell;

and determining the network coverage according to the updated average weight and the updated signal strength.

In order to solve the foregoing technical problem, an embodiment of the present application provides a network coverage area determining apparatus, including:

a cell beam determining module, configured to determine, according to a measurement report reported by user equipment, a serving cell corresponding to the user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell, and neighboring cell beam information of the neighboring cell;

a weight coefficient determining module, configured to determine a first weight and a first weight coefficient corresponding to the serving cell according to the serving cell beam information, and determine a second weight and a second weight coefficient corresponding to the neighboring cell according to the neighboring cell beam information;

the target grid area screening module is used for screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude of the antenna of the serving cell and the first weight;

a grid weight determining module, configured to determine a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight, and the second weight coefficient;

and the network coverage area determining module is used for determining the network coverage area according to the grid weight value.

Optionally, the weight coefficient determining module includes:

a first weight coefficient obtaining unit, configured to obtain a preset first weight coefficient of the serving cell;

a target beam determining unit, configured to determine, according to the serving cell beam information, a target beam sent by the serving cell to the user equipment;

a first weight determining unit, configured to determine a first weight of the serving cell according to an included angle between a beam center line of the target beam and a grid center line of a grid region.

Optionally, the weight coefficient determining module includes:

a signal strength determining unit, configured to determine, according to the measurement report, a serving cell signal strength of the serving cell and a neighboring cell signal strength of the neighboring cell;

a second weight coefficient determining unit, configured to determine a second weight coefficient of the neighboring cell according to a magnitude relationship between the signal strength of the neighboring cell and the signal strength of the serving cell;

and the second weight determining unit is used for determining a second weight of the neighbor cell according to an included angle between the beam center line of the neighbor cell and the grid center line of the grid region.

Optionally, the second weight coefficient determining unit includes:

a first weight coefficient obtaining subunit, configured to use half of the first weight coefficient as a second weight coefficient of the neighboring cell when the signal strength of the neighboring cell is greater than or equal to the signal strength of the serving cell;

and a second weight coefficient obtaining subunit, configured to calculate a ratio between the signal strength of the neighboring cell and the signal strength of the serving cell when the signal strength of the neighboring cell is smaller than the signal strength of the serving cell, and determine the ratio as a second weight coefficient of the neighboring cell.

Optionally, the grid weight determining module includes:

a serving cell weight obtaining unit, configured to calculate a product value of the first weight and the first weight coefficient, and use the product value as a serving cell weight of the serving cell;

a neighboring cell weight obtaining unit, configured to calculate a product value of the second weight and the second weight coefficient, and use the product value as a neighboring cell weight of the neighboring cell;

and the grid weight acquiring unit is used for calculating to obtain a sum of the serving cell weight and the neighbor cell weight, and taking the sum as the grid weight of the target grid region.

Optionally, the network coverage determining module includes:

an average weight determining unit, configured to determine an updated average weight of the target grid region according to the grid weight, a historical average weight corresponding to the target grid region, and the statistics times corresponding to the historical average weight;

an update signal strength determining unit, configured to determine, according to the grid weight of the target grid region, the historical average weight corresponding to the target grid region, the statistics times corresponding to the historical average weight, the historical average signal strength of the target grid region, and the serving cell signal strength of the serving cell, an update signal strength corresponding to the target grid region;

and the network coverage area determining unit is used for determining the network coverage area according to the updated average weight value and the updated signal strength.

In order to solve the above technical problem, an embodiment of the present application provides an electronic device, including:

a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the network coverage determination method of any of the above when executing the program.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, where instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the network coverage determination methods described above.

Compared with the prior art, the embodiment of the application has the following advantages:

in the embodiment of the application, a serving cell corresponding to a user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell, and neighboring cell beam information of the neighboring cell are determined according to a measurement report reported by the user equipment, a first weight and a first weight coefficient corresponding to the serving cell are determined according to the serving cell beam information, a second weight and a second weight coefficient corresponding to the neighboring cell are determined according to the neighboring cell beam information, a grid weight corresponding to a target grid area is screened from a pre-established stereo grid library according to the antenna longitude and latitude and the first weight of the serving cell, and a network coverage area is determined according to the grid weight. According to the embodiment of the application, the possibility of the user in each three-dimensional grid is calculated by utilizing the specific static broadcast beam characteristics of the 5G and pre-establishing the three-dimensional grid library, and the RSRP signal strength of each three-dimensional grid is collected and counted, so that the evaluation of the three-dimensional coverage of the 5G network is realized.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

Fig. 1 is a flowchart illustrating steps of a method for determining a network coverage area according to an embodiment of the present application;

fig. 2 is a schematic diagram of a 5G network coverage area evaluation process according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a network coverage area determining apparatus according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.

The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

Example one

Referring to fig. 1, a flowchart illustrating steps of a network coverage area determining method provided in an embodiment of the present application is shown, and as shown in fig. 1, the network coverage area determining method may specifically include the following steps:

step 101: and determining a serving cell corresponding to the user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell and neighboring cell beam information of the neighboring cell according to a measurement report reported by the user equipment.

The embodiment of the application can be applied to a scene of evaluating the coverage of a 5G network by utilizing the specific static broadcast beam characteristics of the 5G and a pre-divided stereo grid library.

Some concepts of the present application are described in detail below.

In a specific implementation, the beamforming used in the 5G network is divided into a static beam and a dynamic beam according to different strategies used in beamforming. The static beam includes a broadcast beam and a control beam, where the broadcast beam is a cell-level channel or a signal beam, and when a UE (User Equipment) accesses a base station, the UE first needs to search an SSB broadcast beam sent by a 5G base station cell. When a 5G base station cell uses a plurality of SSB beams, a beam in one direction is usually transmitted at each time, and SSB beams in different directions are transmitted at different times, thereby completing the coverage of the whole cell.

When the base station transmits the beam, each beam is numbered, for example, the number is 0 to 7, and when the UE accesses the base station and reports MR (Measurement Report) data, the UE reports the received beam number of the base station. By the beam number, the corresponding beam configuration parameter can be searched, and the coverage direction of the beam can be known.

The parameters of the SSB (Static Shared Beam) Beam include information such as the longitude and latitude, altitude, and Antenna suspension of the AAU (Active Antenna Unit), as well as information such as the mechanical azimuth angle, mechanical downtilt, electronic downtilt (electrically controlled Antenna) of the Antenna, the PCI (Physical Cell identity) of the 5G Cell, and the subcarrier spacing u. This information is a common attribute that each broadcast beam in the cell has. The beam properties can be as shown in table 1 below:

table 1:

each beam in the same cell has its own beam number, horizontal beam direction, vertical beam direction, horizontal beam width, vertical beam width, and other information.

And adding the mechanical azimuth angle in the working parameter data and the horizontal beam direction in the beam to obtain the horizontal azimuth angle of each beam. The beam horizontal coverage can be determined in combination with the horizontal beamwidth in the beam property parameters.

The mechanical downtilt, the electronic downtilt (electrically tunable antenna) and the vertical beam direction in the beams in the working parameter data are added to obtain the vertical downtilt of each beam. The beam vertical coverage can be determined in combination with the vertical beamwidth in the beam property parameters.

Through the above method, several parameters of the beam which are most important can be finally determined: cell number, antenna longitude and latitude, antenna height, beam number, beam azimuth angle, beam downtilt angle. These parameters determine the starting position and the coverage direction of each beam in a cell. Furthermore, an aerial ray can be drawn along the horizontal azimuth angle and the vertical downtilt angle of the beam from the aerial position of the antenna, and the ray can be defined as the central line of the beam.

The 5G MR data is some information interacted between a base station and a mobile phone (UE for short) through signaling, and the UE reports the signal conditions of the current service cell and the adjacent cell to the base station through the MR data. MR files have three formats: MRO, MRE, and MRS. The MRO is that the base station periodically collects the signal quality of the serving cell and the neighboring cell of each current UE.

And each UE reports the SSB wave beam number of the current service cell, the TA value of the current service cell, the frequency point of the adjacent cell, the PCI of the adjacent cell, the SSB wave beam number of the adjacent cell and other information. Each object group represents MR information reported by one UE, and there may be only serving cell beam information, no neighboring cell beam information, or beam information of one neighboring cell, two neighboring cells, or multiple neighboring cells.

And inquiring the SSB wave beam position and the coverage direction of the service cell from the data in the second step according to the number of the 5G base station, the number of the service cell and the SSB wave beam number of the service cell occupied by the UE currently. And the neighbor cell data in the MR data does not have the neighbor cell number, the cell closest to the current service cell can be found out from the working parameter data through the neighbor cell frequency point and the neighbor cell PCI as the neighbor cell, and then the position and the covering direction of the neighbor cell SSB wave beam are inquired from the data in the second step according to the neighbor cell SSB wave beam number.

In the MR data, the TA value of the current serving cell reflects the signal propagation time from the UE to the serving base station, and is a main index reflecting the distance between the UE and the serving base station.

One Ts represents 1/(15000 × 2048) seconds, and the distance traveled by one Ts is 4.89 × 16 ═ 78 meters at a subcarrier spacing u of 0, where u is the subcarrier spacing.

The MR. nrscssrsrp in the MR data reflects the SSB reference signal received power of the NR serving cell, and the smaller the value, the worse the base station signal received by the UE. Similarly, mr.nrncssrsrp reflects the SSB reference signal received power of the NR neighbor, and a smaller value indicates a worse neighbor signal received by the UE.

Next, the technical solutions of the embodiments of the present application are described in detail as follows.

In this example, after accessing the base station, the UE may report MR data to the base station, and may determine a serving cell corresponding to the UE and beam information of the serving cell through the MR data, where the serving cell is a cell in the base station that provides network service for the UE. The MR data includes the beam number of the serving cell currently occupied by the UE, and the SSB beam position and the coverage direction of the serving cell, that is, the beam information of the serving cell, can be queried according to the beam number of the serving cell.

And the neighbor cell data in the MR data does not have the neighbor cell number, at the moment, the cell closest to the current service cell can be found out from the parameter data through the neighbor cell frequency point and the neighbor cell PCI as the neighbor cell, and then the position and the coverage direction of the neighbor cell SSB wave beam, namely the neighbor cell wave beam information, are inquired according to the neighbor cell SSB wave beam number.

After determining the serving cell corresponding to the user equipment, the neighboring cell closest to the serving cell, and the neighboring cell beam information of the neighboring cell according to the measurement report reported by the user equipment, step 102 is executed.

Step 102: and determining a first weight and a first weight coefficient corresponding to the serving cell according to the beam information of the serving cell, and determining a second weight and a second weight coefficient corresponding to the neighbor cell according to the beam information of the neighbor cell.

The first weight (i.e., serving cell weight) may be used to indicate a probability that the UE is within the stereoscopic grid area. The higher the probability is, the higher the probability that the UE is in the stereoscopic grid area is.

The first weight coefficient (i.e. the serving cell coefficient) is preset and is a fixed value, in this example, a specific value of the first weight coefficient may be determined according to a service requirement, which is not limited in this embodiment.

The second weight (i.e., the neighbor cell weight) and the second weight coefficient (i.e., the neighbor cell weight coefficient) refer to parameters for measuring whether each stereo grid is likely to be the current position of the UE through the neighbor cell.

In this embodiment, after the beam information of the serving cell and the beam information of the neighboring cell are obtained, a first weight and a first weight coefficient corresponding to the serving cell may be determined according to the beam information of the serving cell, and a second weight coefficient corresponding to the neighboring cell may be determined according to the beam information of the neighboring cell.

The above process can be described in detail in connection with two specific implementations as follows.

In a specific implementation manner of the present application, the step 102 may include:

substep A1: and acquiring a preset first weight coefficient of the serving cell.

In this embodiment, a preset first weight coefficient of the serving cell may be obtained, in this example, the first weight coefficient may be set to 2, and certainly, the specific value of the first weight coefficient may be set according to a use requirement, which is not limited in this embodiment.

Substep A2: and determining a target beam sent to the user equipment by the serving cell according to the beam information of the serving cell.

After the serving cell beam information of the serving cell is acquired, a target beam sent to the UE by the serving cell may be determined according to a beam number in the serving cell beam information, where the target beam is a beam currently occupied by the UE.

After determining the target beam transmitted by the serving cell to the user equipment from the serving cell beam information, sub-step a3 is performed.

Substep A3: and determining a first weight of the serving cell according to an included angle between a beam center line of the target beam and a grid center line of a grid area.

The grid center line refers to a center line of a previously divided stereoscopic grid region. The division process for the stereoscopic grid region may be described as follows.

In practical applications, a stereoscopic grid library may be constructed based on a three-dimensional electronic map. In the three-dimensional electronic map, each building has longitude and latitude and height information, and a defined three-dimensional grid area also has three dimensions of longitude and latitude and height. The longitude, latitude and altitude between the two volumetric grid regions increases in steps. Similar to the beam center line, a spatial ray can be drawn from the spatial position of the antenna as the starting point through the center point of each of the three-dimensional grids defined above, and we define this ray as the grid center line. The common vertex between the central line of the grid and the central line of the beam takes the space position of the antenna as the starting point. The horizontal azimuth angle and the vertical azimuth angle are formed between the central line of each grid and the central line of the wave beam.

After the target beam is determined, a first weight of the serving cell can be determined according to an included angle between grid center lines of a grid area of a beam center line box of the target beam, in specific implementation, the larger the included angle is, the larger the weight is, one weight can be set for different included angle ranges, and after the included angle between the beam center line and the grid center line is obtained, a corresponding weight, namely the first weight, can be determined according to the included angle range where the included angle is located.

In another specific implementation manner of the present application, the step 102 may include:

substep B1: and determining the signal intensity of the serving cell and the signal intensity of the neighbor cell according to the measurement report.

In this embodiment, after receiving the MR data reported by the UE, the serving cell signal strength of the serving cell and the neighboring cell signal strength of the neighboring cell may be determined according to the MR data.

After the serving cell signal strength of the serving cell and the neighbor cell signal strength of the neighbor cell are determined, sub-step B2 is performed.

Substep B2: determining a second weight coefficient of the neighboring cell according to the magnitude relation between the signal intensity of the neighboring cell and the signal intensity of the serving cell;

after determining the serving cell signal strength of the serving cell and the neighbor cell signal strength of the neighbor cell, the second weight coefficient of the neighbor cell may be determined according to the magnitude relationship between the neighbor cell signal strength and the serving cell signal strength, and specifically, the following two situations may be considered:

1. when the signal strength of the neighboring cell is greater than or equal to the signal strength of the serving cell, half of the first weight coefficient is used as the second weight coefficient of the neighboring cell, for example, the first weight coefficient of the serving cell is 2, and when the signal strength of the neighboring cell is greater than or equal to the signal strength of the serving cell, the second weight coefficient of the neighboring cell is 1.

2. And under the condition that the signal intensity of the neighbor cell is smaller than that of the serving cell, calculating the ratio of the signal intensity of the neighbor cell to that of the serving cell, and determining the ratio as a second weight coefficient of the neighbor cell. That is, the second weight coefficient of the neighboring cell is equal to the signal strength of the neighboring cell/the signal strength of the serving cell.

Substep B3: and determining a second weight of the neighbor cell according to an included angle between the beam center line of the neighbor cell and the grid center line of the grid region.

When calculating the second weight of the neighboring cell, the second weight of the neighboring cell may also be determined according to an included angle between a beam centerline of the neighboring cell and a grid centerline of the grid region, and the second weight is similar to the first weight in an obtaining manner, which is not repeated herein.

Step 103: and screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude of the antenna of the service cell and the first weight.

The target grid region refers to a possible existence of a UE screened from the stereo grid library.

In this embodiment, the screening of the target grid area may be performed according to the longitude and latitude of the antenna of the serving cell and the first weight of the serving cell obtained by the above calculation, specifically, the spatial distance D between each stereoscopic grid area and the antenna of the serving cell may be calculated first, and the following method may be used:

the earth is assumed to be a perfect sphere with a radius of 6378140 meters. Firstly, calculating the distance d between two points according to the longitude and latitude of the central point of the three-dimensional grid and the longitude and latitude of the antenna, wherein the calculation formula is as follows:

ppa＝(Sin((90-weidu1)*pi/180)*Cos(jingdu1*pi/180)-Sin((90-weidu2)*pi/180)*Cos(jingdu2*pi/180))

ppb＝(Sin((90-weidu1)*pi/180)*Sin(jingdu1*pi/180)-Sin((90-weidu2)*pi/180)*Sin(jingdu2*pi/180))

ppc＝(Cos((90-weidu1)*pi/180)-Cos((90-weidu2)*pi/180))

ppe＝(ppa^2+ppb^2+ppc^2)

ppf＝1-ppe/2

d＝Int(6378140*(Atn(-ppf/Sqr(-ppf*ppf+1))+2*Atn(1)))

and D, calculating the spatial distance D between the antenna and the three-dimensional grid point according to the height difference h between the center point of each three-dimensional grid and the antenna.

Assuming that NRScTadv is 5 and the subcarrier spacing u is 0 in the MR data, it is possible to calculate the range of the distance of the UE from the antenna in [312, 390) meters. Then those stereo grids whose center points are within 312, 390) meters of the spatial distance D from the antenna are the locations where the UE is currently likely to be. Obviously, these three-dimensional grids should be a three-dimensional hollow sphere composed of the antenna as the center point.

Since the calculation steps of the spatial distance D are more, the grid of all the three-dimensional grid libraries is not suitable for screening and calculating, and the minimum longitude value (longitude-390 of the serving cell), the maximum longitude value (longitude +390 of the serving cell), the minimum latitude value (latitude-390 of the serving cell) and the maximum latitude value (latitude +390 of the serving cell) can be calculated according to the longitude and latitude and the TA value (390 meters in this example) of the serving cell. And then screening in a three-dimensional grid library to find out a three-dimensional grid region (namely a target grid region) with the longitude between the minimum longitude value and the maximum longitude value and the latitude between the minimum latitude value and the maximum latitude value, wherein the three-dimensional grid region is a hollow sphere grid.

It can be understood that the weight reflects the angle between the beam center line and the grid center line of the grid region, i.e. the screening of the target three-dimensional grid region can be completed by the first weight.

After the target grid area is screened from the pre-established stereo grid library according to the latitude and longitude of the antenna of the serving cell and the first weight, step 104 is executed.

Step 104: and determining the grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient.

In the hollow sphere grid (i.e., the target grid region) selected in step 103, a horizontal azimuth angle and a vertical azimuth angle formed between each grid center line and a beam center line are respectively calculated according to the position of each grid center point. It can be known from the characteristics of radio wave propagation that the UE is in an area outside the coverage of the beam, and it is also possible to receive the signals of the beam, but the UE is less likely to be in these locations. In these areas, the UE will also report MR recordings. In this example, the "weight" and "weight" concepts of MR recordings can be introduced to measure whether each stereo grid is likely to be the current location of the UE. And the three-dimensional grid weight is the weight coefficient of the serving cell plus the weight coefficient of each adjacent cell. If the grid weight of one grid is larger, the probability that the UE is located in the grid is higher.

After the first weight and the first weight coefficient of the serving cell and the second weight coefficient of the neighboring cell are obtained through the above steps, the grid weight of the target grid region can be determined according to the first weight, the first weight coefficient, the second weight and the second weight coefficient. The process can be described in detail in connection with the specific implementation described below.

In a specific implementation manner of the present application, the step 104 may include:

substep C1: and calculating to obtain a product value of the first weight and the first weight coefficient, and taking the product value as the serving cell weight of the serving cell.

In this embodiment, after obtaining the first weight and the first weight coefficient, a product value between the first weight and the first weight coefficient may be calculated, and the product value may be used as the serving cell weight of the serving cell.

Substep C2: and calculating to obtain a product value of the second weight and the second weight coefficient, and taking the product value as the weight of the neighboring cell.

After the second weight and the second weight coefficient value are obtained, a product value between the second weight and the second weight coefficient may be calculated, and the product value may be used as the neighbor cell weight of the neighbor cell.

Substep C3: and calculating to obtain a sum of the serving cell weight and the neighbor cell weight, and taking the sum as the grid weight of the target grid region.

After the serving cell weight and the neighbor cell weight are obtained through the substep C1 and the substep C2, a sum of the serving cell weight and the neighbor cell weight may be calculated, and then the sum may be used as a grid weight of the target grid region, that is, the grid weight of the target grid region is equal to the serving cell weight + the neighbor cell weight.

In practical application, if the angle between the center line of the grid and the center line of the beam is within the half-wave beam width, the weight of all the hollow grids is 100%. The included angle is outside the beam width, the weight is 0%, the included angle is between the half beam width and the beam width, and the weight is gradually reduced. Obviously, all grids with spatial distances outside the range of [312, 390) meters, weight 0%.

For the serving cell, the cell weight coefficient may be set to 2; for the cell weight coefficient of the neighboring cell, if the signal strength of the neighboring cell is greater than the signal strength of the serving cell, the cell weight coefficient of the neighboring cell is determined to be 1. And if the signal intensity of the adjacent cell is less than that of the serving cell, determining the cell weight coefficient as the signal intensity of the adjacent cell/the signal intensity of the serving cell. Thus, the better the signal of the neighboring cell is relative to the signal of the serving cell, which means that its reference value is larger, and if the signal of the neighboring cell is worse, its reference value is smaller.

After determining the grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient, step 105 is executed.

Step 105: and determining the network coverage according to the grid weight.

After obtaining the grid weight of the target grid region, the network coverage of the 5G network may be determined according to the grid weight of the target region, and specifically, the detailed description may be given in combination with the following specific implementation manner.

In a specific implementation manner of the present application, the step 105 may include:

substep D1: and determining the updated average weight of the target grid region according to the grid weight, the historical average weight corresponding to the target grid region and the statistical times corresponding to the historical average weight.

In this embodiment, after obtaining the grid weight of the target grid region, the updated average weight of the target grid region may be determined according to the grid weight, the historical average weight corresponding to the target grid region, and the statistical number of the historical average weights, that is, the weight of the target grid region is updated according to the currently calculated grid weight of the target grid region.

Substep D2: and determining the updated signal strength corresponding to the target grid region according to the grid weight of the target grid region, the historical average weight corresponding to the target grid region, the statistical times corresponding to the historical average weight, the historical average signal strength of the target grid region and the serving cell signal strength of the serving cell.

After the grid weight of the target grid region is obtained, the update signal strength corresponding to the target grid region may be determined according to the grid weight of the target grid region, the historical average weight corresponding to the target grid region, the statistical number of the historical average weights, the historical average signal strength of the target grid region, and the serving cell signal strength of the serving cell, that is, the signal strength of the target grid region is updated according to the grid weight and the serving cell signal strength.

Substep D3: and determining the network coverage according to the updated average weight and the updated signal strength.

After the updated average weight and the updated signal strength are obtained, the network coverage of the 5G network can be determined according to the updated average weight and the updated signal strength.

For the above process, which can be described in detail with reference to the following examples, first, the signal strength of the serving cell and the weight of each grid of the stereo grid where the UE is likely to be located at present can be recorded in the MR data, as shown in the following table 2:

table 2:

grid longitude	Grid latitude	Elevation of grid	Number of statistics	RSRP	Weight value
						106.578	29.5609	100	1	-92.43	3.7
106.678	29.5618	100	1	-92.43	2.8
						106.578	29.5600	103	1	-92.43	3.1
106.678	29.5600	106	1	-92.43	3.2
						106.577	29.5600	100	1	-92.43	2.3
106.576	29.5600	100	1	-92.43	3.5
						106.577	29.5600	103	1	-92.43	2.6

As can be known from table 2, the weights recorded by the grids at this time are different, and the RSRPs recorded by the grids at this time are the same and are the signal strengths of the serving cells.

How to sum up and count MR data reported by all UEs in the whole network is described below, for each MR object group in the MR data, a stereo grid and a weight value where the UE may be located are first calculated, for example, a certain MR report record, and the stereo grid and the weight value where the UE may be located are shown in table 3 below:

table 3:

new average RSRP ═ average RSRP (average RSRP of the trellis history + number of counted times + current MR ScRSRP (current weight/average weight of trellis history))/(number of counted times + current MR weight/average weight of trellis history)

New average weight (average weight of grid history + number of counted times + current MR weight)/(number of counted times +1)

New counted number of times +1

The updated raster data is shown in table 4 below:

table 4:

and summarizing the three-dimensional raster data of the whole network by counting the MR data of all users of the whole network, and finally obtaining the three-dimensional coverage condition of the 5G network of the whole network.

The coverage evaluation method of the 5G network can be realized, not only can the coverage evaluation on the surface be carried out, but also the three-dimensional coverage evaluation is realized. And the stereo coverage evaluation method does not need AGPS data, but uses the beam characteristics specific to 5G to carry out coverage evaluation. The introduction of the weight coefficient and the weight of the adjacent cell enables the adjacent cell data in the MR data to play a role in the calculation process of the grid where the user is likely to be.

The implementation process of the present embodiment can be described in detail in conjunction with fig. 2 as follows.

1. The following can be determined according to the received MR data reported by the UE: serving cell number and TA (i.e., the distance between the base station and the UE), serving cell beam number, neighbor cell signal strength, and serving cell signal strength;

2. calculating to obtain the longitude and latitude spatial distance of the antenna of the service cell according to the number of the service cell and the TA, and screening out a preliminary three-dimensional grid area from a three-dimensional grid library;

3. determining an included angle between the beam center line of the serving cell and the grid center line according to the beam number of the serving cell, and determining an included angle between the beam center line of the neighbor cell and the grid center line according to the beam number of the neighbor cell; the weight coefficient of the service cell is preset, and the weight coefficient of the neighbor cell is obtained by calculation according to the signal intensity of the service cell and the signal intensity of the neighbor cell;

4. calculating to obtain the weight of the serving cell according to the included angle between the beam center line of the serving cell and the grid center line, and calculating to obtain the weight of the neighbor cell according to the included angle between the beam center line of the neighbor cell and the grid center line;

5. determining a possibly existing three-dimensional grid region of the UE from the preliminarily screened three-dimensional grid region according to the weight of the serving cell so as to remove the three-dimensional grid region with the weight of the serving cell being 0;

6. calculating according to the weight of the serving cell and the weight coefficient of the serving cell to obtain a weight of the serving cell, and calculating according to the weight of the neighbor cell and the weight coefficient of the neighbor cell to obtain a weight of the neighbor cell;

7. calculating according to the weight of the service cell and the weight of the neighbor cell to obtain the grid weight of the three-dimensional grid region screened in the step 5;

8. and (4) updating the grid weight and the signal intensity according to the grid weight obtained by calculation in the step (7), counting MR data of all users in the whole network, summarizing the three-dimensional grid data in the whole network, and finally obtaining the three-dimensional coverage condition of the 5G network in the whole network.

The method for determining the network coverage area provided in the embodiment of the application determines the serving cell, the neighboring cell closest to the serving cell, the serving cell beam information of the serving cell and the neighboring cell beam information of the neighboring cell corresponding to the user equipment according to the measurement report reported by the user equipment, determining a first weight and a first weight coefficient corresponding to the serving cell according to the beam information of the serving cell, and determines a second weight and a second weight coefficient corresponding to the neighboring cell according to the beam information of the neighboring cell, screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude of an antenna of a service cell and a first weight, and determining a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient, and determining the network coverage according to the grid weight. According to the embodiment of the application, the possibility of the user in each three-dimensional grid is calculated by utilizing the specific static broadcast beam characteristics of the 5G and pre-establishing the three-dimensional grid library, and the RSRP signal strength of each three-dimensional grid is collected and counted, so that the evaluation of the three-dimensional coverage of the 5G network is realized.

Example two

Referring to fig. 3, a schematic structural diagram of a network coverage area determining apparatus provided in an embodiment of the present application is shown, and as shown in fig. 3, the network coverage area determining apparatus 300 may specifically include the following modules:

a cell beam determining module 310, configured to determine, according to a measurement report reported by user equipment, a serving cell corresponding to the user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell, and neighboring cell beam information of the neighboring cell;

a weight coefficient determining module 320, configured to determine a first weight and a first weight coefficient corresponding to the serving cell according to the serving cell beam information, and determine a second weight and a second weight coefficient corresponding to the neighboring cell according to the neighboring cell beam information;

a target grid region screening module 330, configured to screen a target grid region from a pre-established three-dimensional grid library according to the longitude and latitude of the antenna of the serving cell and the first weight;

a grid weight determining module 340, configured to determine a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight, and the second weight coefficient;

and a network coverage determining module 350, configured to determine a network coverage according to the grid weight.

Optionally, the weight coefficient determining module 320 includes:

Optionally, the second weight coefficient determining unit includes:

Optionally, the grid weight determining module 340 includes:

Optionally, the network coverage determining module 350 includes:

The network coverage area determining apparatus provided in the embodiment of the present application determines, according to a measurement report reported by a user equipment, a serving cell corresponding to the user equipment, a neighboring cell closest to the serving cell, serving cell beam information of the serving cell, and neighboring cell beam information of the neighboring cell, determining a first weight and a first weight coefficient corresponding to the serving cell according to the beam information of the serving cell, and determines a second weight and a second weight coefficient corresponding to the neighboring cell according to the beam information of the neighboring cell, screening a target grid area from a pre-established three-dimensional grid library according to the longitude and latitude of an antenna of a service cell and a first weight, and determining a grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight and the second weight coefficient, and determining the network coverage according to the grid weight. According to the embodiment of the application, the possibility of the user in each three-dimensional grid is calculated by utilizing the specific static broadcast beam characteristics of the 5G and pre-establishing the three-dimensional grid library, and the RSRP signal strength of each three-dimensional grid is collected and counted, so that the evaluation of the three-dimensional coverage of the 5G network is realized.

Referring to fig. 4, a schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. As shown in fig. 4, the electronic device 400 may be provided as a server. Referring to fig. 4, electronic device 400 includes a processing component 422 that further includes one or more processors, and memory resources, represented by memory 432, for storing instructions, such as applications, that are executable by processing component 422. The application programs stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processing component 422 is configured to execute instructions to perform the following method:

and determining the network coverage according to the grid weight.

acquiring a preset first weight coefficient of the serving cell;

and determining a second weight of the neighbor cell according to an included angle between the beam center line of the neighbor cell and the grid center line of the grid area.

Electronic device 400 may also include a power component 426 configured to perform power management of electronic device 400, a wired or wireless network interface 450 configured to connect electronic device 400 to a network, and an input output (I/O) interface 458. The electronic device 400 may operate based on an operating system stored in the memory 432, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.

Additionally, an embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the network coverage determining method described above.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminals (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.

The network coverage determining method, the network coverage determining apparatus, the electronic device and the computer-readable storage medium provided by the present application are described in detail above, and specific examples are applied in the present application to explain the principles and embodiments of the present application, and the descriptions of the above embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method for determining network coverage, comprising:

and determining the network coverage according to the grid weight.

2. The method of claim 1, wherein the determining the first weight and the first weight coefficient corresponding to the serving cell according to the serving cell beam information comprises:

acquiring a preset first weight coefficient of the serving cell;

3. The method of claim 2, wherein the determining the second weight and the second weight coefficient corresponding to the neighboring cell according to the beam information of the neighboring cell comprises:

4. The method of claim 3, wherein the determining the second weight coefficient of the neighboring cell according to the magnitude relationship between the signal strength of the neighboring cell and the signal strength of the serving cell comprises:

5. The method according to claim 1, wherein the determining the grid weight corresponding to the target grid region according to the first weight, the first weight coefficient, the second weight, and the second weight coefficient comprises:

6. The method of claim 1, wherein the determining a network coverage according to the grid weight comprises:

7. A network coverage determination apparatus, comprising:

8. The apparatus of claim 7, wherein the weight coefficient determining module comprises:

9. The apparatus of claim 8, wherein the weight coefficient determining module comprises:

10. The apparatus of claim 9, wherein the second weight coefficient determining unit comprises:

11. The apparatus of claim 7, wherein the grid weight determination module comprises:

12. The apparatus of claim 7, wherein the network coverage determination module comprises:

13. An electronic device, comprising:

a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the network coverage determination method of any one of claims 1 to 6 when executing the program.

14. A computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the network coverage determination method of any of claims 1 to 6.