CN114339800A - Antenna parameter configuration method and device, electronic equipment and storage medium - Google Patents
Antenna parameter configuration method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides an antenna parameter configuration method, an antenna parameter configuration device, electronic equipment and a storage medium, wherein the method comprises the following steps: a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell; three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result; an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned. The antenna parameter configuration method, the device, the electronic equipment and the storage medium provided by the embodiment of the application are used for carrying out simulation based on a three-dimensional simulation map of the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to an antenna parameter configuration method and apparatus, an electronic device, and a storage medium.
Background
In the prior art, a configuration method for antenna parameters is as follows: 1) collecting communication parameters of a service cell where a large-scale multiple input multiple output (Massive MIMO) antenna is located in a current communication network; 2) dividing a signal coverage range of a Massive MIMO antenna into H multiplied by V space ranges according to communication parameters, wherein H is the number of horizontal space lines, and V is the number of vertical space lines; 3) classifying service throughput generated by UE subjected to beamforming of a Massive MIMO antenna into a horizontal direction and a vertical direction of an H multiplied by V space range based on a horizontal position and a vertical position of the UE in a service cell; 4) collecting the maximum value of the H multiplied by V space range of the service throughput in the maximum time period of the service throughput; 5) according to the maximum value, calculating the throughput of H rows in the horizontal direction and the throughput of V columns in the vertical direction in the H multiplied by V space range; 6) configuring an azimuth angle weight and a horizontal wave width weight of a Massive MIMO antenna according to the throughput of the H rows in the horizontal direction; 7) and configuring a downward inclination angle weight and a vertical wave width weight of the Massive MIMO antenna according to the throughput of the vertical direction V column.
However, in the solutions in the prior art, manual judgment is needed to optimize the effect each time, and the combination of the antenna parameters is too many, so the efficiency of manual configuration is too low.
Disclosure of Invention
The embodiment of the application provides an antenna parameter configuration method and device, electronic equipment and a storage medium, and aims to solve the technical problems that in the prior art, too many antenna parameters are combined and the manual configuration efficiency is too low.
The embodiment of the application provides an antenna parameter configuration method, which comprises the following steps:
a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned.
According to the antenna parameter configuration method, the three-dimensional simulation map of the telecommunication industry comprises landform raster data, poster height raster data, building raster data, vector line data and vector building data;
the work parameter information of the current network community comprises community longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
According to an antenna parameter configuration method of an embodiment of the present application, the antenna adaptation step specifically includes:
performing grid traversal aiming at the coverage area of each cell in the cover range of the optimal service cell to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and the target cell antenna, and determining a horizontal half-power angle of the target cell antenna based on all the horizontal included angles;
determining a vertical half-power angle of the target cell antenna for covering each building according to vector building data of the coverage range content of the target cell;
according to the horizontal half-power angle and the vertical half-power angle, matching a plurality of antennas with the most similar numerical values from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of matched antennas of each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage range of all the cells in the area to be planned and the coverage range of the current network cell as an optimal antenna combination, and taking the parameters of the antennas in the optimal antenna combination as the antenna parameter configuration of each cell in the area to be planned.
According to the antenna parameter configuration method of an embodiment of the present application, the antenna combination with the largest overlapping degree between the coverage areas of all cells in the area to be planned and the coverage area of the cell of the existing network is used as the optimal antenna combination, and specifically includes:
determining the overlapping degree of the coverage range of all cells in the area to be planned and the coverage range of the cell of the current network by adopting a solving mode of a local optimal solution;
and taking the antenna combination with the maximum overlapping degree as the optimal antenna combination.
According to an antenna parameter configuration method of an embodiment of the present application, the determining the overlapping degree of the coverage areas of all cells in the area to be planned and the coverage area of the cell of the existing network specifically includes:
respectively calculating the overlapping degree of the coverage range of each cell adopting the matched antenna and the coverage range of the corresponding current network cell;
and weighting and summing each overlapping degree by taking the cell as a unit to obtain the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the cell of the current network.
According to the antenna parameter configuration method of an embodiment of the present application, after determining the antenna parameter configuration of each cell in the area to be planned, the method further includes:
an iterative optimization step: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output region to be planned is not changed any more.
An embodiment of the present application further provides an antenna parameter configuration apparatus, including:
the data acquisition module is used for acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
the three-dimensional simulation module is used for carrying out simulation based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
and the antenna adaptation module is used for carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result and determining the antenna parameter configuration of each cell in the region to be planned.
According to the antenna parameter configuration device, the three-dimensional simulation map of the telecommunication industry comprises landform raster data, poster height raster data, building raster data, vector line data and vector building data;
the work parameter information of the current network community comprises community longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
The embodiment of the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the steps of the antenna parameter configuration method according to any one of the above-mentioned embodiments are implemented.
Embodiments of the present application also provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the antenna parameter configuration method according to any one of the above.
The antenna parameter configuration method, the device, the electronic equipment and the storage medium provided by the embodiment of the application are used for carrying out simulation based on a three-dimensional simulation map of the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flowchart of an antenna parameter configuration method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an actual angle between each grid and a cell in a communication coordinate system;
fig. 3 is a schematic structural diagram of an antenna parameter configuration 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
The parameter configuration method of Massive MIMO antenna in the prior art includes the following steps:
1) the method comprises the steps of collecting communication parameters of a service cell where a Massive MIMO antenna is located in a current communication network, wherein the communication parameters comprise engineering parameters, measurement reports, cell parameters and the like.
2) Dividing the signal coverage range of the Massive MIMO antenna into an H multiplied by V space range according to the communication parameters, wherein H is the number of horizontal space lines, and V is the number of vertical space lines;
3) classifying the service throughput generated by the UE subjected to the beamforming of the Massive MIMO antenna into the horizontal direction and the vertical direction of the H multiplied by V space range based on the horizontal position and the vertical position of the UE in the service cell;
4) collecting the maximum value of the service throughput in the H multiplied by V space range in the period of the maximum service throughput;
5) according to the maximum value, calculating the throughput of H rows in the horizontal direction and the throughput of V columns in the vertical direction in the H x V space range;
6) configuring an azimuth angle weight and a horizontal wave width weight of the Massive MIMO antenna according to the throughput of the H rows in the horizontal direction;
7) and configuring a downward inclination angle weight and a vertical wave width weight of the Massive MIMO antenna according to the throughput of the vertical direction V column.
The horizontal wave width weight of the Massive MIMO antenna is set to 65 degrees in advance, the vertical wave width weight is set to 8 degrees, and the weight of the downward inclination angle is set to 0 degree. The communication parameters include one or more of the following parameters: engineering parameters, measurement reports, cell parameters.
Configuring an azimuth angle weight and a horizontal wave width weight of a Massive MIMO antenna according to the traffic throughput of the H line in the horizontal direction may include: calculating a first ratio of the sum of the traffic throughput at the central position of the beam in the horizontal direction H line and the traffic throughput in the horizontal direction H line; judging whether the first ratio exceeds a first threshold or not; if the first ratio exceeds a first threshold, keeping the horizontal beam weight of the Massive MIMO antenna at 65 degrees; and if the first ratio does not exceed the first threshold, increasing the horizontal wave width weight of the Massive MIMO antenna. In some embodiments, if the first ratio does not exceed the first threshold and the ratio of the traffic throughputs at the edge positions of the beams in the row H in the horizontal direction of the antenna all exceed the second threshold, the MassiveMIMO antenna horizontal bandwidth weight is set to 90 °.
According to the throughput of the vertical direction V column, configuring the downtilt weight and the vertical bandwidth weight of the Massive MIMO antenna may include: calculating a second ratio of the sum of the service throughput at the beam center position in the vertical direction V row and the service throughput in the vertical direction V row; judging whether the second ratio exceeds a third threshold; if the second ratio exceeds a third threshold, keeping the vertical wave width weight of the Massive MIMO antenna at 8 degrees; and if the second ratio does not exceed the third threshold, increasing the vertical wave width weight of the Massive MIMO antenna.
Referring to the test results, it is preferable to select: the first threshold is 20%, the second threshold is 70%, the first threshold T1 is 10%, and the second threshold T2 is 80%.
The defects of the existing method mainly comprise the following points:
a. the intelligent convergence mode is lacked, the optimization effect at each time needs to be judged manually, the combination of different parameters is too many, and if the intelligent convergence mode is not available, the efficiency is greatly reduced.
b. The division of the vertical dimension is the space grid division, and the fitting degree with the real network environment scene is low.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic flowchart of an antenna parameter configuration method provided in an embodiment of the present application, and as shown in fig. 1, an embodiment of the present application provides an antenna parameter configuration method, where the method includes:
Specifically, to implement MassiveMIMO antenna configuration of an area, the following data of the area to be planned need to be collected:
a. simulation is carried out by using a three-dimensional simulation map (Planet format, containing landform (clutter) raster data, poster height (height) raster data, building (building) raster data, text data, vector line (vector) data and vector building (buildvector) data) of 5m precision in the telecommunication industry
b. The existing network 4G and 5G working parameter information comprises base station distribution (longitude and latitude), antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
c. The multiple MassiveMIMO antennas are to be selected, and if the two-dimensional antenna is a two-dimensional antenna, the multiple MassiveMIMO antennas include horizontal 360-degree beam gain and vertical 360-degree beam gain, an electronic downtilt (digital downtilt) is built in the antenna, and the antenna has data such as a horizontal half-power angle and a vertical half-power angle. If the antenna is a three-dimensional antenna, the antenna comprises 360 × 180 omni-directional beam gain, an electronic downtilt (digital downtilt) built in the antenna, a horizontal half-power angle of the antenna, a vertical half-power angle of the antenna and the like.
d. Propagation models for simulation (SPM empirical models or ray tracing models).
102, three-dimensional simulation: and simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result.
Specifically, a simulation project is created, basic parameter configuration is completed, and optimal service cell distribution data (raster level distribution data) of the current network 4G of the planned area is obtained.
a. And creating a simulation project, and importing the data contents mentioned in the steps.
b. In consideration of the inheritance of the NR network to the LTE network, the simulation parameter configuration and the default antenna configuration may configure all antennas in the area to be horizontal 8 beams, the horizontal half-power angle is 65 degrees, and the vertical half-power angle is 6 degrees as an initial configuration. And simultaneously configuring the propagation models of the cells.
c. And performing three-dimensional simulation, and calculating the path loss condition of each raster in the planning range by using the Clutter data, the Height data and the building data in the map in combination with the cell propagation model and the 4G base station distribution information. The information of 10 cells with the minimum loss value and less than 10 cells with the complement value of 9999 can be reserved on each grid. And then, calculating by combining the powers of the antenna hanging height, the antenna azimuth angle, the mechanical downward inclination angle and the like of each cell and the gain value of the initial antenna to obtain a three-dimensional public channel coverage prediction result, wherein the result comprises the contents of the best service cell, whether the coverage is successful, RSRP, SINR and the like. Only the best serving cell result is used subsequently when MassiveMIMO configuration calculations are performed.
Specifically, MassiveMIMO antenna adaptation is performed according to the best serving cell simulation result:
a. and determining the coverage range of the optimal service cell according to the coverage condition of the 4G, performing grid traversal on the coverage range of each cell in the coverage range of the optimal service cell to obtain related grid information, wherein all grids for providing service by the cell are the optimal service cell range corresponding to the current cell.
b. And calculating a horizontal half-power angle. Fig. 2 is a schematic diagram of an actual included angle between each grid and a cell in a communication coordinate system, and as shown in fig. 2, all service grids of each cell in the above steps are traversed and calculated to calculate an actual included angle between each grid and a cell, where the included angle is an absolute included angle in the communication coordinate system, and a calculation formula and steps are as follows:
a space communication coordinate system is constructed, and the position of the cell antenna is taken as the origin of coordinates, namely (xcell, ycell, zcell)Is the origin (0, 0, 0) of the space coordinate system; in the horizontal direction, the positive north is the 0-degree direction, and the rotation to the east is the positive direction; in the vertical direction, the horizontal direction is the direction of 0 degree due to the north, namely the direction is overlapped with the horizontal direction of 0 degree, and the downward rotation is the positive direction. Defining the antenna as Cell, the horizontal azimuth angle of the antenna is hCellMechanical down tilt angle of the antenna is vCell. Defining the Grid as Grid, the Grid horizontal angle is hGridGrid vertical angle is vGrid. The horizontal angle h of the grid with respect to the Cell is calculated as follows:
wherein the range of the value of h should be (-pi, pi), and if the calculation is beyond the range, correction is required. Then, the grids in the service range of the cell are subjected to polling traversal, and horizontal included angles between the grids and the cell antenna are obtained in sequence. And obtaining the maximum and minimum included angles through sequencing the included angles, and performing difference, so as to judge the suggested value SuggestHWidth of the horizontal half-power angle of the cell through the service grid of the cell. Also, considering the situation that each cell may have over coverage, after sorting, only the grids with the specified proportion number may be screened for angle calculation, for example, the middle 80% is a grid set obtained by removing 10% of the grids before and after.
c. And (3) calculating a vertical half-power angle, performing traversal calculation on all service grids of each cell in the steps to obtain all coverage areas, and screening buildvector data in the coverage areas, namely the building information in the coverage areas, wherein the data quantity is the quantity of buildings in the areas. Traversing all buildings in the coverage range, and calculating the half-power angle of the antenna in the vertical dimension for covering each building in turn. The calculation formula is as follows:
A＝(heightbuilding*distancebuidlingToCell)
wherein, heightbuildingDistance for the height of the building itselfbuidlingToCellHeight, which is the horizontal distance between the building and the antennaantennaHeight is the sum of the altitude of the position of the antenna and the height of the antenna hookbuildingBottomHeight is the altitude of the building sitebuildingTopIs the sum of the altitude of the building and the height of the building itself. tilt (Tilt)AntennaAnd v is a vertical-dimension half-power angle recommended value for the antenna mechanical downward inclination angle.
d. And antenna adaptation, namely matching the recommended horizontal half-power angle h and the recommended vertical half-power angle v calculated in the steps with a MassiveMIMO antenna library to be selected, wherein one or a plurality of selected antennas can be selected by selecting similar numerical values.
e. If the alternative antennas calculated by some cells are more than 1, constructing Cartesian products of the cell alternative antennas in a recursive mode, namely aiming at the whole simulation area, the proposed antenna of each cell is used as a single alternative antenna to carry out intelligent polling to find an optimal solution, in the calculation process, iterative analysis is carried out by taking the existing network structure of 4G as a final convergence condition, but if the whole simulation area comprises 10 cells and the number of the proposed antennas of each cell is 2, the number of the Cartesian products is 2101024 times, the exponential structure grows explosively with the increase of the number of cells, which seriously affects the program execution efficiency, so that the reduction of the calculation scale becomes a first requirement, namely, a solution mode with a global optimal solution is changed into a solution mode with a local optimal solution, the number of calculation iterations can be effectively reduced by using the local optimal solution, and suggestions can be made for each cell which already obtains the optimal solutionThe number of the antennas in the cell is changed from the number of all the alternative antennas in the cell to 1, so that the calculated amount of data is maintained in a stable state in the calculation process, the efficiency is improved in the program implementation angle, and the memory consumption is reduced.
f. In the process of intelligent iteration, the coverage area of each cell is close to the optimal service cell range in the initial original 4G simulation result, the matching mode is grid-by-grid matching, the coverage area overlapping degree of the cells in the two results is ensured to be the maximum, and the non-overlapping area is ensured to be the minimum.
And finally, result feedback and user application are carried out, and in consideration of the fact that the suggested MassiveMIMO antenna obtained by each calculation brings changes of a network structure to a certain extent, the user can repeat the simulation process and the calculation iterative analysis process according to actual requirements until the requirements of the user are met or the program automatically converges (namely the suggested antenna does not change any more).
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any one of the embodiments, the three-dimensional simulation map of the telecommunication industry comprises landform raster data, poster height raster data, building raster data, vector line data and vector building data;
the work parameter information of the current network community comprises community longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
Specifically, in the embodiment of the application, relief grid data, poster height grid data, building grid data, vector line data and vector building data are contained in the three-dimensional simulation map of the telecommunication industry.
The work parameter information of the current network community comprises the longitude and latitude of the community, the hanging height of an antenna, the azimuth angle of the antenna, the mechanical downward inclination angle of the antenna and the transmitting power of the antenna.
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any of the above embodiments, the antenna adapting step specifically includes:
performing grid traversal aiming at the coverage area of each cell in the cover range of the optimal service cell to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and the target cell antenna, and determining a horizontal half-power angle of the target cell antenna based on all the horizontal included angles;
determining a vertical half-power angle of the target cell antenna for covering each building according to vector building data of the coverage range content of the target cell;
according to the horizontal half-power angle and the vertical half-power angle, matching a plurality of antennas with the most similar numerical values from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of matched antennas of each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage range of all the cells in the area to be planned and the coverage range of the current network cell as an optimal antenna combination, and taking the parameters of the antennas in the optimal antenna combination as the antenna parameter configuration of each cell in the area to be planned.
Specifically, in the embodiment of the present application, the specific steps of antenna adaptation are as follows:
first, a grid traversal is performed for the coverage of each cell in the best serving cell coverage to obtain the full serving grid of each cell.
Then, horizontal included angles between each grid and the target cell antenna are calculated, and the horizontal half-power angle of the target cell antenna is determined based on all the horizontal included angles. The calculation formula is the same as that in the above embodiment, and is not described herein again.
Then, the vertical half-power angle for the antenna covering each building target cell is determined based on the vector building data of the target cell coverage content.
Then, according to the horizontal half-power angle and the vertical half-power angle, a plurality of antennas with the most similar numerical values are matched from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters.
And finally, traversing a plurality of matched antennas of each cell in sequence, taking the antenna combination with the largest overlapping degree of the coverage range of all the cells in the area to be planned and the coverage range of the current network cell as an optimal antenna combination, and taking the parameters of the antennas in the optimal antenna combination as the antenna parameter configuration of each cell in the area to be planned.
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any of the above embodiments, the combining the antennas with the largest overlapping degree between the coverage areas of all the cells in the area to be planned and the coverage area of the cell in the current network as the optimal antenna combination specifically includes:
determining the overlapping degree of the coverage range of all cells in the area to be planned and the coverage range of the cell of the current network by adopting a solving mode of a local optimal solution;
and taking the antenna combination with the maximum overlapping degree as the optimal antenna combination.
Specifically, in the embodiment of the present application, the specific steps of taking the antenna combination with the largest overlapping degree between the coverage areas of all cells in the area to be planned and the coverage area of the cell of the current network as the optimal antenna combination are as follows:
firstly, determining the overlapping degree of the coverage range of all cells in the area to be planned and the coverage range of the cell of the current network by adopting a solving mode of a local optimal solution.
Then, the antenna combination with the largest overlapping degree is used as the optimal antenna combination.
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any of the above embodiments, the determining the overlapping degree of the coverage areas of all cells in the area to be planned and the coverage area of the cell of the current network specifically includes:
respectively calculating the overlapping degree of the coverage range of each cell adopting the matched antenna and the coverage range of the corresponding current network cell;
and weighting and summing each overlapping degree by taking the cell as a unit to obtain the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the cell of the current network.
Specifically, in the embodiment of the present application, the specific steps of determining the overlapping degree of the coverage areas of all cells in the area to be planned and the coverage area of the cell of the current network are as follows:
firstly, the overlapping degree of the coverage range of each cell adopting the matched antenna and the coverage range of the corresponding current network cell is respectively calculated.
And then, weighting and summing each overlapping degree by taking the cell as a unit to obtain the overlapping degree of all cell coverage areas in the area to be planned and the cell coverage area of the current network.
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any of the above embodiments, after determining the antenna parameter configuration of each cell in the area to be planned, the method further includes:
an iterative optimization step: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output region to be planned is not changed any more.
Specifically, in the embodiment of the present application, the result feedback and the user application consider that the proposed Massive MIMO antenna obtained by each calculation may bring changes to the network structure to a certain extent, and the user may repeat the above simulation process and the calculation iterative analysis process according to actual requirements until the user requirements are met or the program automatically converges (i.e., the proposed antenna does not change any more).
The antenna parameter configuration method provided by the embodiment of the application is used for carrying out simulation based on a three-dimensional simulation map in the telecommunication industry and the engineering parameter information of the current network cell, determining the antenna parameter configuration of each cell in the area to be planned, and improving the efficiency and the accuracy of the antenna parameter configuration.
Based on any of the above embodiments, fig. 3 is a schematic structural diagram of an antenna parameter configuration device provided in an embodiment of the present application, and as shown in fig. 3, an embodiment of the present application provides an antenna parameter configuration device, which includes a data acquisition module 301, a three-dimensional simulation module 302, and an antenna adaptation module 303, where:
the data acquisition module 301 is used for acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell; the three-dimensional simulation module 302 is used for performing simulation based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result; the antenna adaptation module 303 is configured to perform large-scale multiple-input multiple-output antenna adaptation according to the simulation result of the best serving cell in the three-dimensional common channel coverage prediction result, and determine antenna parameter configuration of each cell in the region to be planned.
Specifically, the antenna parameter configuration apparatus provided in the embodiment of the present application can implement all the method steps implemented by the above method embodiment, and can achieve the same technical effect, and details of the same parts and beneficial effects as those of the method embodiment in this embodiment are not described herein again.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform an antenna parameter configuration method comprising:
a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present application also provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, where the computer program includes a program or instructions, and when the program or instructions are executed by a computer, the computer is capable of executing the antenna parameter configuration method provided by the above-mentioned method embodiments, where the method includes:
a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned.
In yet another aspect, the present application further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the antenna parameter configuration method provided in the foregoing embodiments, and the method includes:
a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An antenna parameter configuration method, comprising:
a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adaptation step: and carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the region to be planned.
2. The antenna parameter configuration method according to claim 1, wherein the telecommunication industry three-dimensional simulation map comprises landform raster data, poster height raster data, building raster data, vector line data and vector building data;
the work parameter information of the current network community comprises community longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
3. The antenna parameter configuration method according to claim 2, wherein the antenna adaptation step specifically includes:
performing grid traversal aiming at the coverage area of each cell in the cover range of the optimal service cell to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and the target cell antenna, and determining a horizontal half-power angle of the target cell antenna based on all the horizontal included angles;
determining a vertical half-power angle of the target cell antenna for covering each building according to vector building data of the coverage range content of the target cell;
according to the horizontal half-power angle and the vertical half-power angle, matching a plurality of antennas with the most similar numerical values from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of matched antennas of each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage range of all the cells in the area to be planned and the coverage range of the current network cell as an optimal antenna combination, and taking the parameters of the antennas in the optimal antenna combination as the antenna parameter configuration of each cell in the area to be planned.
4. The antenna parameter configuration method according to claim 3, wherein the step of taking the antenna combination with the largest overlapping degree between the coverage areas of all cells in the area to be planned and the coverage area of the cell in the current network as the optimal antenna combination specifically comprises:
determining the overlapping degree of the coverage range of all cells in the area to be planned and the coverage range of the cell of the current network by adopting a solving mode of a local optimal solution;
and taking the antenna combination with the maximum overlapping degree as the optimal antenna combination.
5. The method for configuring antenna parameters according to claim 4, wherein the determining the overlapping degree of the coverage areas of all cells in the area to be planned and the coverage area of the cell in the current network specifically comprises:
respectively calculating the overlapping degree of the coverage range of each cell adopting the matched antenna and the coverage range of the corresponding current network cell;
and weighting and summing each overlapping degree by taking the cell as a unit to obtain the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the cell of the current network.
6. The antenna parameter configuration method according to any one of claims 1 to 5, wherein after determining the antenna parameter configuration of each cell in the area to be planned, the method further comprises:
an iterative optimization step: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output region to be planned is not changed any more.
7. An antenna parameter configuration apparatus, comprising:
the data acquisition module is used for acquiring a three-dimensional simulation map of the telecommunication industry and the work parameter information of a current network cell;
the three-dimensional simulation module is used for carrying out simulation based on the telecommunication industry three-dimensional simulation map and the work parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
and the antenna adaptation module is used for carrying out large-scale multi-input multi-output antenna adaptation according to the simulation result of the optimal service cell in the three-dimensional public channel coverage prediction result and determining the antenna parameter configuration of each cell in the region to be planned.
8. The antenna parameter configuration device of claim 7, wherein the telecommunication industry three-dimensional simulation map comprises landform raster data, poster height raster data, building raster data, vector line data and vector building data;
the work parameter information of the current network community comprises community longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downward inclination angle and antenna transmitting power.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the antenna parameter configuration method according to any of claims 1 to 6.
10. A non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the antenna parameter configuration method according to any one of claims 1 to 6.
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