CN114363909A - Azimuth angle determining method and device, electronic equipment and storage medium - Google Patents
Azimuth angle determining method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides an azimuth angle determining method, an azimuth angle determining device, electronic equipment and a storage medium, wherein the method comprises the following steps: rasterizing a coverage area of a target base station to obtain a plurality of grids; determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area; determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area. According to the azimuth determining method, the azimuth determining device, the electronic equipment and the storage medium, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the rasterized building information, the optimal azimuth of a plurality of sectors of a base station is determined by optimizing the coverage grid as a target, the accuracy of the determined azimuth is improved, and the network planning and network optimization work of an operator is effectively guided.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to an azimuth determining method and apparatus, an electronic device, and a storage medium.
Background
In the field of wireless communication, a base station (cell) azimuth angle is a key parameter influencing network coverage and performance indexes, and the base station azimuth angle is reasonably and accurately planned, so that development of wireless optimization work and improvement of network performance are facilitated. At present, the following three schemes are mainly adopted when the azimuth angle of the base station is planned. The first scheme is to adopt site survey, and determine the azimuth angle of the base station through survey of site parameters of the base station, the geographic environment around the base station, user distribution and other factors. The second scheme is that the azimuth angle of the base station is determined by using on-map operation and third-party electronic map software according to the types of the ground features and the scene information on the map and combining the existing position, work parameters and other information of the base station. The third scheme is to determine the azimuth angle of the base station by analyzing the big data of the data in the Measurement Report by using the Measurement Report (MR) of the base station.
The existing base station azimuth angle planning method based on field survey has low efficiency and low speed, and is easy to have errors due to the technical level limitation of field personnel. The existing base station azimuth angle planning method based on the operation on the graph has poor real-time performance, can not master the latest field condition, and has low efficiency and difficult quality control. The existing base station azimuth angle planning method based on the measurement report has the defects of incomplete basic data, insufficient analysis precision and incapability of effectively distinguishing the priority of a base station coverage target.
Disclosure of Invention
The embodiment of the application provides an azimuth angle determining method and device, electronic equipment and a storage medium, and aims to solve the technical problem that the accuracy of a determined azimuth angle in the prior art is insufficient.
The embodiment of the application provides an azimuth angle determining method, which comprises the following steps:
rasterizing a coverage area of a target base station to obtain a plurality of grids;
determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area.
According to the azimuth angle determining method of one embodiment of the present application, any one or a combination of the following is included in the measurement report: coverage indexes, number of sampling points and average signal level;
the building information includes any one or a combination of the following: building type, building area, geographical scene and number of complaints within a preset time period.
According to the azimuth determination method of one embodiment of the present application, the priority of the grid is determined based on any one or a combination of the following priority principles: weak coverage first, poor competitive pair first, and user-multiple first.
According to an azimuth determination method of an embodiment of the present application, the determining an azimuth of each cell of the target base station based on a priority of each grid in the coverage area specifically includes:
constructing a plurality of azimuth angle sets based on a preset azimuth angle iteration step length; each azimuth angle set comprises K elements, wherein one element is the azimuth angle of one cell, and K is the number of the cells in the target base station;
traversing each azimuth angle set, and determining the azimuth angle set which covers the grids with high priority and has the maximum number;
and determining the azimuth angle of each cell of the target base station according to the azimuth angle set with the maximum number of grids covering high priority.
According to the azimuth determination method of one embodiment of the present application, the difference between any two elements in the azimuth set covering the highest number of high-priority grids is greater than or equal to a first preset threshold.
According to the azimuth angle determining method of an embodiment of the present application, if there are a plurality of azimuth angle sets with the largest number of grids covering high priority, a corresponding azimuth angle set with the smallest coverage balance is selected, where the coverage balance is used to measure the congestion degree and uniformity degree of the high priority grids covered by the base station.
According to the azimuth angle determining method, the coverage balance degree is determined based on the coverage crowdedness degree and the coverage uniformity degree; the coverage congestion degree is used for measuring the congestion degree of a high-priority grid covered by the base station; the coverage uniformity is used to measure the uniformity of a high priority grid of base station coverage.
An embodiment of the present application further provides an azimuth determining apparatus, including:
the grid processing module is used for carrying out rasterization processing on the coverage area of the target base station to obtain a plurality of grids;
a priority determination module to determine a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
an azimuth determination module for determining an azimuth of each cell of the target base station based on a priority of each grid within the coverage area.
An 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 processor implements the steps of any of the above-mentioned azimuth angle determining methods.
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 any of the above-mentioned azimuth determination methods.
According to the azimuth determining method, the azimuth determining device, the electronic equipment and the storage medium, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the rasterized building information, the optimal azimuth of a plurality of sectors of a base station is determined by optimizing the coverage grid as a target, the accuracy of the determined azimuth is improved, and the network planning and network optimization work of an operator is effectively guided.
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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 azimuth determination method according to an embodiment of the present application;
FIG. 2 is a schematic logic flow diagram for determining an azimuth angle according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for calculating an optimal azimuth according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an azimuth angle determining apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
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 azimuth determination method according to an embodiment of the present disclosure, and as shown in fig. 1, an azimuth determination method according to an embodiment of the present disclosure is provided. The method comprises the following steps:
Specifically, fig. 2 is a schematic logic flow diagram for determining an azimuth angle according to an embodiment of the present application, and as shown in fig. 2, basic data extraction is performed first.
The step mainly extracts the required basic data and completes the basic data preparation work. For example, the required basic data includes both measurement report data and building information. Measurement report data includes, but is not limited to, coverage indicator (RSRP ratio), number of sampling points, average signal level, etc.; the building information includes, but is not limited to, building type (office building, mall, house), building area, geographical scene (urban area, village and town, countryside, etc.), number of complaints within a preset time period, etc.
Then, the coverage area of the target base station is rasterized to obtain a plurality of grids.
In this step, the planned coverage target is rasterized and the basic data is mapped to each grid. For example, the grid size is not limited to 50 meters by 50 meters or 100 meters by 100 meters, and the smaller the grid longitude, the higher the planning accuracy. After the coverage target is rasterized and index mapping is carried out, basic information such as a coverage index, the number of sampling points, an average signal level, a geographic scene and the like of each grid can be obtained.
Specifically, after a plurality of grids are obtained, grid coverage priority evaluation is performed.
The priority of each grid within the coverage area is determined based on the measurement reports and building information within the coverage area.
The method mainly combines the coverage requirements of the base station, evaluates the coverage priority of the grids, and performs key coverage on the grids with high priority, so that the coverage grids with high priority can be in the range of the antenna main lobe of the base station, and the planning effect of the azimuth angle of the base station is ensured.
For example, grid coverage priority settings include, but are not limited to, weak coverage priority, bad bid priority, user multi-priority, etc.; the grid coverage priority may also be an evaluation result weighted by comprehensively considering a plurality of factors.
Specifically, after determining the priority of each grid within the coverage area, the azimuth of each cell of the target base station is determined based on the priority of each grid within the coverage area.
The method mainly calculates the optimal azimuth angle of the base station through a specific iterative algorithm according to the priority of each grid in the coverage area, and ensures that the grids with high priority can be well covered.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, any one or a combination of the following is included in the measurement report: coverage indexes, number of sampling points and average signal level;
the building information includes any one or a combination of the following: building type, building area, geographical scene and number of complaints within a preset time period.
Specifically, in the embodiment of the present application, the required basic data includes two parts, namely measurement report data and building information. Measurement report data includes, but is not limited to, coverage indicator (RSRP ratio), number of sampling points, average signal level, etc.; the building information includes, but is not limited to, building type (office building, mall, house), building area, geographical scene (urban area, village and town, countryside, etc.), number of complaints within a preset time period, etc.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, the priority of the grid is determined based on any one or a combination of the following priority principles: weak coverage first, poor competitive pair first, and user-multiple first.
Specifically, in the embodiment of the present application, the grid coverage priority setting includes, but is not limited to, weak coverage priority, competitive pair difference priority, user multi-priority, and the like; the grid coverage priority may also be an evaluation result weighted by comprehensively considering a plurality of factors. The competitive difference priority means that the larger the difference value with the signal strength of other operators, the higher the priority.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, the determining the azimuth angle of each cell of the target base station based on the priority of each grid in the coverage area specifically includes:
constructing a plurality of azimuth angle sets based on a preset azimuth angle iteration step length; each azimuth angle set comprises K elements, wherein one element is the azimuth angle of one cell, and K is the number of the cells in the target base station;
traversing each azimuth angle set, and determining the azimuth angle set which covers the grids with high priority and has the maximum number;
and determining the azimuth angle of each cell of the target base station according to the azimuth angle set with the maximum number of grids covering high priority.
Specifically, fig. 3 is a flowchart illustrating a method for calculating an optimal azimuth according to an embodiment of the present invention, and as shown in fig. 3, in the embodiment of the present invention, the specific steps of determining an azimuth of each cell of the target base station based on the priority of each grid in the coverage area are as follows:
(1) initializing calculation parameters, setting the number of base station cells as K, the iteration step length of an azimuth angle as delta degrees, and the width of an antenna main lobe as W. According to planning experience, generally, K is 3, δ is 10, and W is 65; namely 3 cells of a base station, and azimuth iteration is carried out with 10 degrees as a limit, and the width of a main lobe of a base station antenna is 65 degrees. Definition of x(i)Is the direction angle of the ith grid, where i ═ 1 … N, and N is the total number of grids served by the base station.
The number of initialization iterations j is 0, where j is an integer and satisfies
Represents the number of combinations of K elements taken out of 360/delta different elements; once per iteration, j equals j +1, until
The iterative computation stops.
(2) Set of azimuth angles A for each cell of base stationjCarry out assignment, Aj＝{aj1,aj2,…ajk…ajKIn which a isjkFor the mutually different values (not equal), the azimuth angle of each cell may be selected from the set, taking the following values:
(3) calculating the included angle of the azimuth angle of the cell, and collecting the azimuth angles AjThe included angle of the cell azimuth angles is obtained by pairwise calculation of the azimuth angles
Wherein
m and n respectively represent two cells and satisfy the following condition:
(4) included angle of azimuth angle for two and two cells
Make a judgment if
And (4) proceeding to the next step, otherwise, continuing to execute the step (2) to perform assignment again after j is j + 1.
(5) And comprehensively considering index information such as grid coverage rate, sampling point quantity and the like to calculate the coverage priority of the grid, and determining the principle of the best azimuth angle of the cell. The present example takes the weak coverage grid as the highest coverage priority, so the number of weak coverage grids covered by the cell azimuth is at most the best azimuth.
Calculating a set of cell azimuth angles AjThe number of weak coverage grids C within the main lobejWherein
cijWhen the grid is 1, the grid can be covered by the cell, when the grid is 0, the grid can not be covered by the cell, the judgment is carried out according to the difference between the relative angle of the grid and the base station and the azimuth angle of the cell, and the judgment formula is as follows:
after the calculation is completed, the azimuth A is recordedjAnd the number of grids CjAnd (5) continuing to perform iterative computation after j is j +1, and executing the step (2).
(6) After iterative computation in the step (5), an azimuth angle set A is obtainedjAnd setting the priority according to the grid condition covered when each azimuth is set, thereby obtaining an optimal azimuth setting set. The present example is at most high priority with the number of weak coverage grids, thus by azimuthSet AjThe number of grids C correspondingly covered when each azimuth angle is arrangedjTo determine the azimuthal optimality, CjSet of azimuth angles A with the largest valuejIs the optimal azimuth angle set.
(7) Judging an optimal azimuth set AjIf the azimuth is unique, the azimuth is the optimal azimuth. If not, the cell balance degree needs to be calculated, and the distribution balance degree O of the grids in the coverage area of each cell of the base station is calculatedjTo determine the optimum azimuth angle, OjThe azimuth angle at which the value is the smallest is the optimum azimuth angle.
OjIs calculated by the formula Oj＝p*Wj+q*YjWherein p is the grid crowding weight, q is the grid uniformity weight, p + q is 1, WjAnd YjIs an azimuth angle AjThe calculation formula of the crowding degree and the uniformity in the process is as follows:
through the steps, the optimal azimuth angle of the base station can be planned according to the grid-level data after the positioning of the measurement report. The method comprehensively considers the base station measurement report data and the geographic scene information, and ensures the scientific and reasonable planning of the azimuth angle of the base station. The method can not only plan the optimal azimuth angle of one base station, but also realize the optimal azimuth angle joint planning of a plurality of base stations by setting a coverage priority strategy of grids in the area and using an automatic tool.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, the difference between any two elements in the azimuth angle set covering the highest number of high-priority grids is greater than or equal to a first preset threshold.
Specifically, in the embodiment of the present application, the difference between any two elements in the azimuth angle set that covers the highest number of high-priority grids is greater than or equal to the first preset threshold.
The first preset threshold may be configured according to actual needs, for example, may be configured to be 90 degrees, 100 degrees, and the like.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, if there are multiple azimuth angle sets with the largest number of grids covering high priority, selecting a corresponding azimuth angle set with the smallest coverage balance, where the coverage balance is used to measure the congestion degree and uniformity degree of the high priority grids covered by the base station.
Specifically, in the embodiment of the present application, the method further includes determining an optimal azimuth set ajIf the azimuth is unique, the azimuth is the optimal azimuth. If not, the cell balance degree needs to be calculated, and the distribution balance degree O of the grids in the coverage area of each cell of the base station is calculatedjTo determine the optimum azimuth angle, OjThe azimuth angle at which the value is the smallest is the optimum azimuth angle.
According to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
According to any of the above embodiments, the coverage balance is determined based on coverage crowdedness and coverage uniformity; the coverage congestion degree is used for measuring the congestion degree of a high-priority grid covered by the base station; the coverage uniformity is used to measure the uniformity of a high priority grid of base station coverage.
Specifically, in the embodiment of the present application, if the optimal azimuth angle set a is obtainedjNot only, the cell balance degree calculation is needed, and the distribution balance degree O of grids in the coverage area of each cell of the base station is calculatedjTo determine the optimum azimuth angle, OjThe azimuth angle at which the value is the smallest is the optimum azimuth angle.
OjIs calculated by the formula Oj＝p*Wj+q*YjjWherein p is the grid crowding weight, q is the grid uniformity weight, p + q is 1, WjAnd YjIs an azimuth angle AjThe calculation formula of the crowding degree and the uniformity in the process is as follows:
according to the azimuth angle determining method provided by the embodiment of the application, the value and the coverage priority of each grid are determined through the rasterized measurement report data and the building information, the optimal azimuth angles of a plurality of sectors of a base station are determined by optimizing the coverage grids as targets, the accuracy of the determined azimuth angles is improved, and the network planning and network optimization work of operators is effectively guided.
Based on any of the above embodiments, fig. 4 is a schematic structural diagram of an azimuth determining apparatus provided in the embodiment of the present application, and as shown in fig. 4, the azimuth determining apparatus provided in the embodiment of the present application includes a grid processing module 401, a priority determining module 402, and an azimuth determining module 403, where:
the grid processing module 401 is configured to perform rasterization processing on a coverage area of a target base station to obtain multiple grids; a priority determination module 402 for determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area; the azimuth determination module 403 is used to determine the azimuth of each cell of the target base station based on the priority of each grid within the coverage area.
Specifically, the azimuth determining apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effects, and details of the same parts and beneficial effects as the method embodiment in this embodiment are not repeated herein.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530 and a communication bus 540, wherein the processor 510, the communication Interface 520 and the memory 530 communicate with each other via the communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a method of azimuth determination, the method comprising:
rasterizing a coverage area of a target base station to obtain a plurality of grids;
determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area.
Furthermore, the logic instructions in the memory 530 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 can execute the azimuth angle determining method provided by the above-mentioned method embodiments, where the method includes:
rasterizing a coverage area of a target base station to obtain a plurality of grids;
determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area.
In another aspect, the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the azimuth determination method provided in the foregoing embodiments when executed by a processor, where the method includes:
rasterizing a coverage area of a target base station to obtain a plurality of grids;
determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area.
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. A method of determining an azimuth, comprising:
rasterizing a coverage area of a target base station to obtain a plurality of grids;
determining a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
determining an azimuth angle for each cell of the target base station based on a priority of each grid within the coverage area.
2. The method according to claim 1, wherein any one or a combination of the following is included in the measurement report: coverage indexes, number of sampling points and average signal level;
the building information includes any one or a combination of the following: building type, building area, geographical scene and number of complaints within a preset time period.
3. The azimuth determination method according to claim 1, wherein the priority of the grid is determined based on any one or a combination of the following priority principles: weak coverage first, poor competitive pair first, and user-multiple first.
4. The method of claim 1, wherein the determining the azimuth angle of each cell of the target base station based on the priority of each grid in the coverage area comprises:
constructing a plurality of azimuth angle sets based on a preset azimuth angle iteration step length; each azimuth angle set comprises K elements, wherein one element is the azimuth angle of one cell, and K is the number of the cells in the target base station;
traversing each azimuth angle set, and determining the azimuth angle set which covers the grids with high priority and has the maximum number;
and determining the azimuth angle of each cell of the target base station according to the azimuth angle set with the maximum number of grids covering high priority.
5. The method according to claim 4, wherein the difference between any two elements in the highest number of azimuth angle sets covering the high priority grids is greater than or equal to a first preset threshold.
6. The method according to claim 4, wherein if there are more than one azimuth angle set with the largest number of grids covering high priority, selecting a corresponding azimuth angle set with the smallest coverage balance, wherein the coverage balance is used to measure the congestion degree and uniformity degree of the high priority grids covered by the base station.
7. The azimuth determination method according to claim 6, wherein the coverage balance is determined based on coverage crowding and coverage uniformity; the coverage congestion degree is used for measuring the congestion degree of a high-priority grid covered by the base station; the coverage uniformity is used to measure the uniformity of a high priority grid of base station coverage.
8. An azimuth determination apparatus, comprising:
the grid processing module is used for carrying out rasterization processing on the coverage area of the target base station to obtain a plurality of grids;
a priority determination module to determine a priority for each grid within the coverage area based on the measurement reports and building information within the coverage area;
an azimuth determination module for determining an azimuth of each cell of the target base station based on a priority of each grid within the coverage area.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the azimuth determination method according to any one of claims 1 to 7 are implemented when the program is executed by the processor.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the azimuth angle determination method according to any one of claims 1 to 7.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080280565A1 (en) * | 2007-03-30 | 2008-11-13 | Vladan Jevremovic | Indoor coverage estimation and intelligent network planning |
| CN104581949A (en) * | 2015-01-23 | 2015-04-29 | 北京邮电大学 | Neighborhood rasterizing method and device |
| CN107466043A (en) * | 2016-06-03 | 2017-12-12 | 中国移动通信集团河北有限公司 | A kind of azimuthal method and apparatus for determining antenna for base station |
| CN108243425A (en) * | 2016-12-23 | 2018-07-03 | 中国移动通信集团公司 | A kind of location determining method and device of base station yet to be built |
| WO2019037683A1 (en) * | 2017-08-23 | 2019-02-28 | 中兴通讯股份有限公司 | Base station deployment method and device |
| CN109963287A (en) * | 2017-12-26 | 2019-07-02 | 中国移动通信集团湖北有限公司 | Antenna directional angle optimization method, device, equipment and medium |
| US20190277974A1 (en) * | 2018-03-06 | 2019-09-12 | Southern Oregon University | Systems and methods for location representation using a discrete global grid system |
| CN110677859A (en) * | 2018-07-03 | 2020-01-10 | 中国电信股份有限公司 | Method and device for determining weak coverage area and computer readable storage medium |
| CN110831019A (en) * | 2019-12-04 | 2020-02-21 | 中通服建设有限公司 | Base station planning method, base station planning device, computer equipment and storage medium |
-
2020
- 2020-10-13 CN CN202011089631.7A patent/CN114363909A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080280565A1 (en) * | 2007-03-30 | 2008-11-13 | Vladan Jevremovic | Indoor coverage estimation and intelligent network planning |
| CN104581949A (en) * | 2015-01-23 | 2015-04-29 | 北京邮电大学 | Neighborhood rasterizing method and device |
| CN107466043A (en) * | 2016-06-03 | 2017-12-12 | 中国移动通信集团河北有限公司 | A kind of azimuthal method and apparatus for determining antenna for base station |
| CN108243425A (en) * | 2016-12-23 | 2018-07-03 | 中国移动通信集团公司 | A kind of location determining method and device of base station yet to be built |
| WO2019037683A1 (en) * | 2017-08-23 | 2019-02-28 | 中兴通讯股份有限公司 | Base station deployment method and device |
| CN109429234A (en) * | 2017-08-23 | 2019-03-05 | 中兴通讯股份有限公司 | A kind of dispositions method and device of base station |
| CN109963287A (en) * | 2017-12-26 | 2019-07-02 | 中国移动通信集团湖北有限公司 | Antenna directional angle optimization method, device, equipment and medium |
| US20190277974A1 (en) * | 2018-03-06 | 2019-09-12 | Southern Oregon University | Systems and methods for location representation using a discrete global grid system |
| CN110677859A (en) * | 2018-07-03 | 2020-01-10 | 中国电信股份有限公司 | Method and device for determining weak coverage area and computer readable storage medium |
| CN110831019A (en) * | 2019-12-04 | 2020-02-21 | 中通服建设有限公司 | Base station planning method, base station planning device, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 徐永杰;魏宁宁;于德成;: "基于聚类分析的基站最优方位角规划研究", 电信工程技术与标准化, no. 07, 15 July 2020 (2020-07-15), pages 2 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114828026A (en) * | 2022-04-26 | 2022-07-29 | 中国移动通信集团陕西有限公司 | Base station planning method, device, equipment, storage medium and program product |
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