CN114339800B - Antenna parameter configuration method, device, electronic equipment and storage medium - Google Patents
Antenna parameter configuration method, 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: and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell; three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result; an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned. According to the antenna parameter configuration method, the device, the electronic equipment and the storage medium, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and apparatus for configuring antenna parameters, an electronic device, and a storage medium.
Background
In the prior art, the configuration method for the 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 the signal coverage range of the Massive MIMO antenna into H multiplied by V space ranges according to communication parameters, wherein H is the number of space lines in the horizontal direction, and V is the number of space columns in the vertical direction; 3) Based on the horizontal position and the vertical position of User Equipment (UE) in a service cell, classifying the service throughput generated by the beamformed UE of a Massive MIMO antenna into the horizontal direction and the vertical direction of an H multiplied by V space range; 4) Collecting the maximum value of service throughput of the H X V space range in the maximum service throughput period; 5) According to the maximum value, calculating throughput of H rows in the horizontal direction and throughput of V columns in the vertical direction in the H multiplied by V space range; 6) According to the throughput of the H rows in the horizontal direction, configuring azimuth angle weight and horizontal bandwidth weight of the Massive MIMO antenna; 7) And according to the throughput of the V columns in the vertical direction, configuring the downward inclination angle weight and the vertical bandwidth weight of the Massive MIMO antenna.
However, in the scheme in the prior art, the optimization effect needs to be manually judged each time, and the combination of antenna parameters is too many, so that the efficiency of manual configuration is too low.
Disclosure of Invention
The embodiment of the application provides an antenna parameter configuration method, an antenna parameter configuration device, electronic equipment and a storage medium, which are used for solving the technical problems that in the prior art, the combination of antenna parameters is too many and the efficiency of manual configuration is too low.
The embodiment of the application provides an antenna parameter configuration method, which comprises the following steps:
and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
According to the antenna parameter configuration method of the embodiment of the application, 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 industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power.
According to an embodiment of the present application, the antenna adapting step specifically includes:
performing grid traversal for the coverage area of each cell in the optimal service cell coverage range to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and a 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 an antenna covering each building according to vector building data of coverage content of a target cell;
according to the horizontal half power angle and the vertical half power angle, a plurality of antennas with the closest numerical values are matched from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of antennas matched with each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage area of all cells in the area to be planned and the coverage area 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 an embodiment of the present application, the method for configuring antenna parameters includes:
determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell by adopting a solution mode of a local optimal solution;
and taking the antenna combination with the largest overlapping degree as the optimal antenna combination.
According to an embodiment of the present application, the determining the overlapping degree of all cell coverage areas in the to-be-planned area and the coverage area of the current network cell specifically includes:
respectively calculating the overlapping degree of the coverage area of each cell adopting the matched antenna and the coverage area of the corresponding current network cell;
and carrying out weighted summation on each overlapping degree by taking a cell as a unit to obtain overlapping degrees of all cell coverage areas in the area to be planned and the coverage area of the current network cell.
According to 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:
iterative optimization: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output area to be planned is not changed any more.
The embodiment of the application also provides an antenna parameter configuration device, which comprises:
the data acquisition module is used for acquiring a three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell;
the three-dimensional simulation module is used for simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional common channel coverage prediction result;
and the antenna adaptation module is used for carrying out large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional common channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
According to the antenna parameter configuration device of the embodiment of the application, 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 industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power.
The embodiment of the application also provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of any one of the antenna parameter configuration methods when executing the program.
The embodiments of the present application also provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the antenna parameter configuration method as described in any of the above.
According to the antenna parameter configuration method, the device, the electronic equipment and the storage medium, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an antenna parameter configuration method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of the actual angle between each grid and the cell in the communication coordinate system;
fig. 3 is a schematic structural diagram of an antenna parameter configuration device 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
A parameter configuration method of a Massive MIMO antenna in the prior art comprises the following steps:
1) And collecting communication parameters of a service cell where a Massive MIMO antenna is located in the current communication network, wherein the communication parameters comprise engineering parameters, measurement reports, cell parameters and the like.
2) Dividing the signal coverage of the Massive MIMO antenna into H multiplied by V space ranges according to the communication parameters, wherein H is the number of horizontal space lines, and V is the number of vertical space columns;
3) Based on the horizontal position and the vertical position of the user equipment UE in the service cell, classifying the service throughput generated by the UE subjected to beamforming of the Massive MIMO antenna into the horizontal direction and the vertical direction of the H multiplied by V space range;
4) Collecting the maximum value of the service throughput of the H multiplied by V space range in the maximum service throughput period;
5) According to the maximum value, calculating throughput of H rows in the horizontal direction and throughput of V columns in the vertical direction in the H X V space range;
6) According to the throughput of the horizontal H line, configuring an azimuth angle weight and a horizontal bandwidth weight of the Massive MIMO antenna;
7) And configuring the downtilt angle weight and the vertical bandwidth weight of the Massive MIMO antenna according to the throughput of the vertical V-shaped column.
The horizontal bandwidth weight of the Massive MIMO antenna is set to 65 °, the vertical bandwidth weight is set to 8 °, and the weight of the downtilt angle is set to 0 °. The communication parameters include one or more of the following: engineering parameters, measurement reports, cell parameters.
According to the traffic throughput of the horizontal direction H line, configuring the azimuth weight and the horizontal bandwidth weight of the Massive MIMO antenna may include: calculating a first ratio of the sum of the traffic throughput at the beam center position in the horizontal direction H line and the traffic throughput of the horizontal direction H line; judging whether the first ratio exceeds a first threshold; if the first ratio exceeds a first threshold, maintaining the horizontal beam weight of the Massive MIMO antenna to be 65 degrees; if the first ratio does not exceed the first threshold, increasing the horizontal bandwidth weight of the Massive MIMO antenna. In some embodiments, if the first ratio does not exceed the first threshold and the traffic throughput duty cycle at the beam edge position in the horizontal H-line of the antenna exceeds the second threshold, the massive mimo antenna horizontal bandwidth weight is set to 90 °.
According to the throughput of the vertical V column, configuring the downtilt angle weight and the vertical bandwidth weight of the Massive MIMO antenna may include: calculating a second ratio of the traffic throughput at the beam center position in the vertical direction V column to the sum of the traffic throughputs in the vertical direction V column; judging whether the second ratio exceeds a third threshold; if the second ratio exceeds the third threshold, the vertical bandwidth weight of the Massive MIMO antenna is kept to be 8 degrees; if the second ratio does not exceed the third threshold, the vertical bandwidth weight of the Massive MIMO antenna is increased.
With reference 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 lack of an intelligent convergence mode requires manual judgment of each optimization effect, and the combination of different parameters is too many, so that the efficiency is greatly reduced if the intelligent convergence mode is not available.
b. The division of the vertical dimension is to divide the space grid, and the degree of fit with the scene of the real network environment is low.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Fig. 1 is a flowchart of an antenna parameter configuration method provided in an embodiment of the present application, and as shown in fig. 1, the embodiment of the present application provides an antenna parameter configuration method, where the method includes:
step 101, data acquisition: and acquiring a three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell.
Specifically, to implement a massive mimo antenna configuration for an area, the following data needs to be collected for the area to be planned:
a. three-dimensional simulation map (plane format, including landform (gateway) raster data, height (height) raster data, building (building) raster data, text data, vector line (vector) data and vector building (building) data) for 5m precision telecommunication industry for simulation
b. The current network 4G and 5G industrial parameter information comprises base station distribution (longitude and latitude), antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power.
c. The multiple massive MIMO antennas to be selected comprise horizontal 360-degree beam gain and vertical 360-degree beam gain if the two-dimensional antenna is provided with built-in electronic dip angle (digital dip angle), horizontal half-power angle, vertical half-power angle and other data. If the three-dimensional antenna comprises 360 x 180 omnibearing wave beam gain and built-in electronic declination angle (digital declination angle) of the antenna, the horizontal half-power angle and the vertical half-power angle of the antenna.
d. The propagation model (SPM empirical model or ray tracing model) is used for simulation.
Step 102, three-dimensional simulation: and simulating based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result.
Specifically, a simulation project is created, and basic parameter configuration is completed, so that planning area network 4G best serving cell distribution data (grid level distribution data) is obtained.
a. Creating simulation engineering, and importing each item of data content mentioned in the steps.
b. The simulation parameter configuration and the default antenna configuration, taking the inheritance of the NR network to the LTE network into consideration, all antennas in the area can be configured into horizontal 8 beams, the horizontal half-power angle is 65 degrees, and the vertical half-power angle is 6 degrees as initial configuration. And simultaneously configuring the propagation models of the cells.
c. And executing three-dimensional simulation, and calculating the path loss condition of each grid in the planning range by using Clutter data, height data, building data and cell propagation model and 4G base station distribution information in the map. 10 cells with the smallest loss value can be reserved on each grid, and the number of the cells is less than 10, namely the number of the cells can be complemented with-9999 invalid values. And then combining the power of the antenna hanging height, the antenna azimuth angle, the mechanical downtilt angle and the like of each cell and the gain value of the initial antenna to calculate and obtain a three-dimensional common channel coverage prediction result, wherein the result comprises the contents of whether the coverage of the best serving cell is successful, RSRP, SINR and the like. Only the best serving cell results are used later in performing the massive mimo configuration calculation.
Step 103, an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
Specifically, performing massive mimo antenna adaptation according to the best serving cell simulation result:
a. and determining the coverage area of the optimal service cell according to the coverage situation of the 4G, and performing grid traversal on the coverage area of each cell in the coverage area of the optimal service cell to obtain related grid information, wherein all grids provided by the cell serve as the optimal service cell range corresponding to the current cell.
b. Horizontal half power angle calculation. Fig. 2 is a schematic diagram of an actual angle between each grid and a cell in a communication coordinate system, as shown in fig. 2, performing traversal calculation on all service grids of each cell in the above steps, and calculating an actual angle between each grid and a cell, where the angle is an absolute angle in the communication coordinate system, and a calculation formula and steps are as follows:
constructing a space communication coordinate system, wherein the position of a cell antenna is taken as a coordinate origin, namely (xcell, ycell, zcell) is taken as a space coordinate system origin (0, 0); in the horizontal direction, the north direction is 0 degrees, and the easting rotation is the positive direction; in the vertical direction, the horizontal direction is in the direction of 0 degrees to the north, namely, coincides with the horizontal direction of 0 degrees, and the vertical direction rotates downwards to be in the positive direction. Defining the antenna as Cell, the antenna horizontal azimuth angle is h Cell The mechanical downtilt angle of the antenna is v Cell . Defining the Grid as Grid, and then defining the horizontal angle of the Grid as h Grid The vertical angle of the grid is v Grid . The grid is opposite to CThe horizontal angle h of ell is calculated as follows:
where the range of h values should be (-pi, pi) and should be corrected if the calculation is outside this range. And then carrying out polling traversal on grids in the service range of the cell, and sequentially obtaining the horizontal included angle between the grids and the cell antenna. And obtaining the maximum and minimum included angles through sequencing the included angles, and performing difference, so that the suggested value SuggestHWIdth of the horizontal half-power angle of the cell is judged through the service grid of the cell. Also, considering that each cell may have an over coverage, after the cells are sorted, only the grids with the specified proportion number may be screened to perform angle calculation, for example, the middle 80% is a grid set obtained by removing 10% of the grids before and after each cell.
c. And calculating a vertical half power angle, performing traversal calculation on all service grids of each cell in the steps to obtain a whole coverage area, and screening out building data in the coverage area, namely building information in the coverage area, wherein the number of the building data is the number of buildings in the area. All buildings within the coverage area are traversed, and half power angles of the antenna in the vertical dimension are calculated to cover each building in turn. The calculation formula is as follows:
A＝(height building *distance buidlingToCell )
wherein height is building Distance for building height buidlingToCell Height is the horizontal distance between the building and the antenna antenna Height is the sum of the altitude of the position where the antenna is located and the hanging height of the antenna buildingBottom Height for building site buildingTop Is the sum of the altitude of the building site and the building's own altitude. Tilt Antenna And (5) for the mechanical downtilt angle of the antenna, the obtained v is a half power angle recommended value in the vertical dimension.
d. And (3) matching the antenna with the suggested horizontal half power angle h and the suggested vertical half power angle v calculated in the steps, and matching the suggested horizontal half power angle h and the suggested vertical half power angle v with a to-be-selected massive MIMO antenna library, wherein the number of the to-be-selected massive MIMO antenna library is similar to that of the to-be-selected massive MIMO antenna library, and one or a plurality of to-be-selected antennas can be selected.
e. If the calculated alternative antennas of some cells are larger than 1, constructing Cartesian products of the alternative antennas of the cells in a recursive mode, namely, aiming at the whole simulation area, using the suggested antennas of each cell as single alternative antennas to carry out intelligent polling to find an optimal solution, wherein iterative analysis is carried out by taking the network structure of the 4G current network as a final convergence condition in the calculation process, but if the whole simulation area comprises 10 cells and the number of the suggested antennas of each cell is 2, the number of the Cartesian products is 2 10 The exponential structure can be explosive-type increased along 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 task, namely, the solution mode of a global optimal solution is changed into the solution mode of a local optimal solution, the number of calculation iteration can be effectively reduced by using the local optimal solution, and the number of suggested antennas can be changed into 1 from the number of all candidate antennas of each cell for which the optimal solution is obtained, thereby ensuring that the calculated amount of data is maintained in a relatively stable state in the calculation process, improving the efficiency in the program realization angle and reducing the memory consumption.
f. In the intelligent iteration process, namely, the coverage area of each cell is similar to the optimal service cell range in the original 4G simulation result, the matching mode is grid-by-grid matching, the coverage area overlapping degree of the two results is ensured to be maximum as much as possible, and the non-overlapping area is ensured to be minimum as much as possible.
Finally, the result feedback and the user application take into account that the proposed massive MIMO antenna obtained by each calculation can bring about the change of the network structure to a certain extent, so that the user can repeat the simulation process and the calculation iterative analysis process according to the actual demand until the user demand is met or the program automatically converges (i.e. the proposed antenna does not change).
According to the antenna parameter configuration method provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any one of the above embodiments, the telecommunication industry three-dimensional simulation map includes landform raster data, poster height raster data, building raster data, vector line data, and vector building data;
the industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power.
Specifically, in the embodiment of the application, 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 industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power.
According to the antenna parameter configuration method provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any of the foregoing embodiments, the antenna adapting step specifically includes:
performing grid traversal for the coverage area of each cell in the optimal service cell coverage range to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and a 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 an antenna covering each building according to vector building data of coverage content of a target cell;
according to the horizontal half power angle and the vertical half power angle, a plurality of antennas with the closest numerical values are matched from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of antennas matched with each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage area of all cells in the area to be planned and the coverage area 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, grid traversal is performed for the coverage area of each cell in the best serving cell coverage area to obtain the entire serving grid of each cell.
Then, a horizontal angle between each grid and the target cell antenna is calculated, and a horizontal half-power angle of the target cell antenna is determined based on all the horizontal angles. The calculation formula is the same as that in the above embodiment, and will not be described here again.
Then, based on the vector building data of the coverage content of the target cell, a vertical half-power angle is determined to cover each building target cell antenna.
Then, according to the horizontal half power angle and the vertical half power angle, matching a plurality of antennas with the closest numerical values from a preset antenna library; the antenna library includes a plurality of antennas with configured parameters.
And finally, traversing a plurality of antennas matched with each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage area of all cells in the area to be planned and the coverage area 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 provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any of the foregoing embodiments, the method for using the antenna combination with the largest overlapping degree between all cell coverage areas in the area to be planned and the coverage area of the current network as the optimal antenna combination specifically includes:
determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell by adopting a solution mode of a local optimal solution;
and taking the antenna combination with the largest overlapping degree as the optimal antenna combination.
Specifically, in the embodiment of the present application, the specific steps of using, as the optimal antenna combination, the antenna combination with the largest overlapping degree between all cell coverage areas in the area to be planned and the coverage area of the current network cell are as follows:
firstly, determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell by adopting a solution mode of a local optimal solution.
Then, the antenna combination with the largest overlapping degree is used as the optimal antenna combination.
According to the antenna parameter configuration method provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any of the foregoing embodiments, the determining the overlapping degree of all cell coverage areas in the to-be-planned area and the coverage area of the current network cell specifically includes:
respectively calculating the overlapping degree of the coverage area of each cell adopting the matched antenna and the coverage area of the corresponding current network cell;
and carrying out weighted summation on each overlapping degree by taking a cell as a unit to obtain overlapping degrees of all cell coverage areas in the area to be planned and the coverage area of the current network cell.
Specifically, in the embodiment of the present application, the specific steps for determining the overlapping degree of all the cell coverage areas in the area to be planned and the coverage area of the current network cell are as follows:
first, the overlapping degree of the coverage area of each cell using the matched antenna and the coverage area of the corresponding current network cell is calculated respectively.
And then, carrying out weighted summation on 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 current network cell.
According to the antenna parameter configuration method provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any of the foregoing embodiments, after determining the antenna parameter configuration of each cell in the area to be planned, the method further includes:
iterative optimization: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output area to be planned is not changed any more.
Specifically, in the embodiment of the present application, the result feedback and the user apply, and considering that the proposed Massive MIMO antenna obtained by each calculation may bring about a change in the network structure to a certain extent, the user may repeat the above simulation process and the calculation iterative analysis process according to the actual requirement until the user requirement is met or the program automatically converges (i.e. the proposed antenna does not change any more).
According to the antenna parameter configuration method provided by the embodiment of the application, simulation is performed based on the three-dimensional simulation map of the telecommunication industry and the industrial parameter information of the current network cell, the antenna parameter configuration of each cell in the area to be planned is determined, and the efficiency and the accuracy of the antenna parameter configuration are improved.
Based on any of the above embodiments, fig. 3 is a schematic structural diagram of an antenna parameter configuration device provided in the embodiment of the present application, and as shown in fig. 3, the embodiment of the present application provides an antenna parameter configuration device, including 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 industrial parameter information of the current network cell; the three-dimensional simulation module 302 is configured to perform simulation based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell, so as to obtain a three-dimensional common channel coverage prediction result; the antenna adaptation module 303 is configured to perform massive mimo antenna adaptation according to the best serving cell simulation result in the three-dimensional common channel coverage prediction result, and determine an antenna parameter configuration of each cell in the area to be planned.
Specifically, the antenna parameter configuration device provided in the embodiment of the present application can implement all the method steps implemented in the embodiment of the method, and can achieve the same technical effects, and the same parts and beneficial effects as those of the embodiment of the method in the embodiment are not described in detail herein.
Fig. 4 illustrates a physical schematic diagram of an electronic device, as shown in fig. 4, which may include: processor 410, communication interface (Communications Interface) 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other via communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform an antenna parameter configuration method comprising:
and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present application further provide a computer program product, including a computer program stored on a non-transitory computer readable storage medium, the computer program including a program or instructions which, when executed by a computer, is capable of executing the antenna parameter configuration method provided by the above method embodiments, the method including:
and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
In yet another aspect, embodiments of the present application further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, is implemented to perform the antenna parameter configuration method provided in the above embodiments, the method including:
and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adapting step: and performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. An antenna parameter configuration method, comprising:
and a data acquisition step: acquiring a three-dimensional simulation map of the telecommunication industry and industrial parameter information of a current network cell; 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 industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power;
three-dimensional simulation: simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional public channel coverage prediction result;
an antenna adapting step: performing large-scale MIMO antenna adaptation according to the optimal service cell simulation result in the three-dimensional public channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned;
the antenna adaptation step specifically comprises:
performing grid traversal for the coverage area of each cell in the optimal service cell coverage range to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and a 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 an antenna covering each building according to vector building data of coverage content of a target cell;
according to the horizontal half power angle and the vertical half power angle, a plurality of antennas with the closest numerical values are matched from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of antennas matched with each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage area of all cells in the area to be planned and the coverage area 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.
2. The method for configuring antenna parameters according to claim 1, wherein the combining the antenna combination with the largest overlapping degree between all cell coverage areas in the area to be planned and the coverage area of the current network cell is used as an optimal antenna combination, and specifically includes:
determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell by adopting a solution mode of a local optimal solution;
and taking the antenna combination with the largest overlapping degree as the optimal antenna combination.
3. The method for configuring antenna parameters according to claim 2, wherein the determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell specifically includes:
respectively calculating the overlapping degree of the coverage area of each cell adopting the matched antenna and the coverage area of the corresponding current network cell;
and carrying out weighted summation on each overlapping degree by taking a cell as a unit to obtain overlapping degrees of all cell coverage areas in the area to be planned and the coverage area of the current network cell.
4. A method for configuring antenna parameters according to any one of claims 1-3, wherein after determining the antenna parameter configuration of each cell in the area to be planned, the method further comprises:
iterative optimization: and repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output area to be planned is not changed any more.
5. 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 industrial parameter information of the current network cell; 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 industrial parameter information of the current network cell comprises cell longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna transmitting power;
the three-dimensional simulation module is used for simulating based on the telecommunication industry three-dimensional simulation map and the industrial parameter information of the current network cell to obtain a three-dimensional common channel coverage prediction result;
the antenna adaptation module is used for performing large-scale multiple-input multiple-output antenna adaptation according to the optimal service cell simulation result in the three-dimensional common channel coverage prediction result, and determining the antenna parameter configuration of each cell in the area to be planned;
the antenna adaptation module is specifically configured to:
performing grid traversal for the coverage area of each cell in the optimal service cell coverage range to obtain all service grids of each cell;
calculating a horizontal included angle between each grid and a 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 an antenna covering each building according to vector building data of coverage content of a target cell;
according to the horizontal half power angle and the vertical half power angle, a plurality of antennas with the closest numerical values are matched from a preset antenna library; the antenna library comprises a plurality of antennas with configured parameters;
and traversing a plurality of antennas matched with each cell in sequence, taking an antenna combination with the largest overlapping degree of the coverage area of all cells in the area to be planned and the coverage area 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.
6. The antenna parameter configuration apparatus according to claim 5, wherein the antenna combination with the largest overlapping degree between all cell coverage areas in the area to be planned and the coverage area of the current network cell is used as an optimal antenna combination, and specifically includes:
determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell by adopting a solution mode of a local optimal solution;
and taking the antenna combination with the largest overlapping degree as the optimal antenna combination.
7. The apparatus for configuring antenna parameters according to claim 6, wherein the determining the overlapping degree of all cell coverage areas in the area to be planned and the coverage area of the current network cell specifically includes:
respectively calculating the overlapping degree of the coverage area of each cell adopting the matched antenna and the coverage area of the corresponding current network cell;
and carrying out weighted summation on each overlapping degree by taking a cell as a unit to obtain overlapping degrees of all cell coverage areas in the area to be planned and the coverage area of the current network cell.
8. The antenna parameter configuration apparatus according to any one of claims 5 to 7, further comprising:
and the iterative optimization module is used for repeating the three-dimensional simulation step and the antenna adaptation step until the antenna parameter configuration of each cell in the output area to be planned is not changed any more.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the antenna parameter configuration method according to any of claims 1 to 4 when the program is executed by the processor.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the antenna parameter configuration method according to any one of claims 1 to 4.
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