CN112203293A - Cell over-coverage identification method, device, equipment and computer storage medium - Google Patents
Cell over-coverage identification method, device, equipment and computer storage medium Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of wireless networks, and discloses a cell over-coverage identification method, a device, equipment and a computer storage medium, wherein the method comprises the following steps: acquiring engineering parameters; determining a first layer of adjacent base stations of the target cell according to the engineering parameters; determining a polygonal area formed by the first layer of adjacent base stations as a reasonable coverage area of the target cell; determining a sampling point of the target cell; determining the number of sampling points outside the reasonable coverage range of the target cell; and performing coverage identification on the target cell according to the number of the sampling points outside the reasonable coverage range of the target cell. Through the mode, the over-coverage cell can be identified more accurately and quickly.
Description
Technical Field
The embodiment of the invention relates to the technical field of wireless networks, in particular to a cell over-coverage identification method, a device, equipment and a computer storage medium.
Background
Coverage is a key factor for evaluating network quality, and various factors including networking morphology, base station position, antenna feed data (hanging height, azimuth angle, antenna type) and various background parameter settings (power, neighboring cells and switching algorithms) all affect the network coverage range. The existing network coverage problems mainly include weak coverage, over coverage, overlapping coverage and the like, wherein the over coverage problem is high in occupation ratio and has a large influence on network quality.
In the process of implementing the embodiment of the present invention, the inventors found that: the existing over-coverage identification method mainly comprises two modes of network signal testing and background data analysis. The former is to use test software, mobile phones, and sweep generators to perform road test, and to analyze the road test data and determine whether there is over coverage in the cell by combining the station distribution situation in the peripheral area of the cell. The latter is mainly to perform evaluation and analysis of network coverage through data such as MR data analysis, index analysis, user complaint collection and the like. However, the network signal testing method has the problems of difference in signal reception of the testing terminal, incomplete traversal of the testing route and the like, thereby affecting the accuracy of the judgment result. The problems of low accuracy, insufficient flexibility and the like exist in the selection of the data source and the evaluation algorithm in the background data analysis method.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention provide a cell over-coverage identifying method, apparatus, device and computer storage medium, which overcome the foregoing problems or at least partially solve the foregoing problems.
According to an aspect of the embodiments of the present invention, there is provided a cell over-coverage identification method, including: acquiring engineering parameters; determining a first layer of adjacent base stations of the target cell according to the engineering parameters; determining a polygonal area formed by the first layer of adjacent base stations as a reasonable coverage area of the target cell; determining a sampling point of the target cell; determining the number of sampling points outside the reasonable coverage range of the target cell; and performing coverage identification on the target cell according to the number of the sampling points outside the reasonable coverage range of the target cell.
In an optional manner, the determining, according to the engineering parameter, a first-layer neighbor base station of a target cell specifically includes: determining coordinate points of the base station to which the target cell belongs and all adjacent base stations of the base station to which the target cell belongs according to the engineering parameters; performing triangle drawing according to the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station by a Delaunay triangulation algorithm; and determining all the adjacent base stations contained in the triangle containing the base station to which the target cell belongs as the first-layer adjacent base station.
In an optional manner, the determining a sampling point of the cell of the target base station specifically includes: acquiring a data set reported by a mobile phone terminal, wherein the data set comprises longitude and latitude data and a Reference Signal Receiving Power (RSRP) value; and determining the sampling point of the target cell according to the longitude and latitude data in the data set.
In an optional manner, after the data set includes longitude and latitude data and an RSRP value, the method further includes: and when the RSRP value in the data set is smaller than a first preset threshold value, rejecting the data set.
In an optional manner, the determining the number of sampling points located outside the reasonable coverage area of the target cell specifically includes: and determining the number of sampling points outside the reasonable coverage range according to a ray algorithm.
In an optional manner, the performing coverage identification on the target cell according to the number of the sampling points located outside the reasonable coverage area of the target cell specifically includes: dividing the number of the sampling points out of the reasonable coverage range by the total number of the sampling points to obtain the over-coverage rate of the target cell; and when the over coverage rate is greater than a second preset threshold value, determining that the target cell is an over coverage cell.
In an optional manner, the performing coverage identification on the target cell according to the number of the sampling points located outside the reasonable coverage area of the target cell specifically includes: calculating the over coverage rate of all cells under the base station to which the target cell belongs; summing the over coverage rates of all the cells and taking the average value to obtain an area average value; and when the difference between the over-coverage rate of the target cell and the area average value is larger than a third preset threshold value, determining that the target cell is an over-coverage cell.
According to another aspect of the embodiments of the present invention, there is provided a cell over-coverage identifying apparatus, including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the cell over-coverage identification method.
According to another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, where the executable instruction causes the processor to perform an operation corresponding to the above-mentioned cell over-coverage identification method.
The embodiment of the invention determines the first layer of adjacent base stations of the target cell according to the engineering parameters, and determines the polygonal area formed by connecting the first layer of adjacent base stations as the reasonable coverage area of the target cell. And then judging whether the target cell has the problem of over coverage according to the number of sampling points of the target cell positioned in the reasonable coverage range and outside the reasonable coverage range. Compared with the prior art, the method and the device for evaluating the coverage area of the target cell have the advantages that the theoretically reasonable coverage area of the target cell is determined through the first-layer adjacent base station of the target cell, a threshold for evaluating the coverage area is not needed, the conditions of missed judgment, erroneous judgment and the like which easily occur once evaluation standards are evaluated can be effectively avoided, and the practicability is high. Meanwhile, the method for evaluating whether the over-coverage exists or not through the number of the sampling points located inside and outside the reasonable coverage range has higher accuracy.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a method for identifying cell coverage according to an embodiment of the present invention;
fig. 2 shows a schematic diagram of a first-layer neighboring cell in the embodiment of the present invention;
FIG. 3 shows a schematic diagram of a reasonable coverage area in an embodiment of the invention;
FIG. 4 is a flow chart illustrating the sub-steps of determining sample points in an embodiment of the present invention;
FIG. 5 shows a schematic diagram of sample points outside of reasonable coverage in an embodiment of the invention;
FIG. 6 illustrates a schematic diagram of a ray algorithm in an embodiment of the invention;
FIG. 7 is a flow diagram illustrating sub-steps in determining a first tier neighbor base station in an embodiment of the present invention;
FIG. 8 illustrates a schematic diagram of a Delaunay triangulation algorithm in an embodiment of the present invention;
FIG. 9 is a flow diagram illustrating sub-steps in an embodiment of the invention in which overlay identification is performed;
FIG. 10 is a flow diagram illustrating sub-steps of performing overlay identification in another embodiment of the present invention;
fig. 11 is a schematic structural diagram illustrating a cell over-coverage identifying apparatus according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram illustrating a cell over-coverage identification device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The existing network coverage problems mainly include weak coverage, over coverage, overlapping coverage and the like, wherein the over coverage problem is high in occupation ratio and has a large influence on network quality. Over coverage means that there is excessive coverage overlap in the network, and the user terminal uses signals of a distant cell, while signals of cells in nearby locations are not used. The phenomenon of over-coverage is mainly characterized in that the pilot signals of some cells are too strong, the coverage area exceeds the planned range, and discontinuous dominant areas are formed in the coverage areas of other cells, so that signaling congestion and call drop caused by interference are caused. In order to solve the problem, the coverage area of the cell can be optimized by firstly identifying the cell with the coverage problem, and then adjusting the azimuth angle and the downward inclination angle of the antenna of the base station to which the cell belongs, adjusting the height of the antenna, replacing the type of the antenna, changing the position of the base station and the like. The existing method for identifying the coverage cell mainly comprises network signal test and background data analysis. The data obtained by the network signal testing method has the problems of difference in signal receiving of the testing terminal, incomplete traversal of the testing route and the like, the testing result cannot reflect the real network coverage condition of a commercial user, meanwhile, certain requirements on skills and experience of an analyst are met in the aspect of coverage judgment, complaints on labor cost and time cost are high, and the constantly-developed daily optimization requirements of the network cannot be met. The background data analysis method mainly depends on MR data reported by a base station side, switching statistical data and the like, and has the problems of low accuracy, insufficient flexibility and the like in data source and evaluation algorithm selection, and the accuracy of an evaluation result needs to be improved. Therefore, the embodiment of the invention provides cell over-coverage identification, which has higher accuracy and practicability.
The following describes embodiments of the present invention with reference to the drawings.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for identifying cell coverage according to an embodiment of the present invention, where the method includes the following steps:
step S110: and acquiring engineering parameters.
In this step, the engineering parameter is information of a base station of the whole network, which can be obtained through a basic database containing information of the base station. Specifically, the engineering parameters mainly include information such as the number of the cell, the ID of the base station to which the cell belongs, the longitude and latitude of the base station to which the cell belongs, and the frequency band to which the cell belongs.
Preferably, after the engineering parameters are obtained, data cleaning and filtering can be carried out on the engineering parameters, abnormal data and null value records are removed, and only the engineering parameters of the outdoor macro station are reserved. Since the base stations distributed outdoors generally have no overlapping coverage area, there is generally no problem of over-coverage, so that only the over-coverage identification of the outdoor macro station is needed, that is, only the engineering parameters of the outdoor macro station are needed.
Step S120: and determining the first layer of adjacent base stations of the target cell according to the engineering parameters.
The conventional over-coverage criterion is: if the coverage of a cell is too far beyond the ideal coverage distance, the cell is considered to be an over-coverage cell, and the distance beyond the first-layer neighbor cell is generally used as a reference. As shown in fig. 2, the first-layer neighboring cell refers to a layer of neighboring cell closer to the target cell in two layers of neighboring cells in the direction opposite to the sector of the target cell when planning the neighboring cell of the target cell. And the longitude and latitude information of the base station which the target cell belongs to and the longitude and latitude information of the base station which the adjacent cell of the target cell belongs to can be determined through the engineering parameters, so that a layer of adjacent cell which is close to the target cell can be calculated. The first layer of adjacent base stations are the first layer of adjacent base stations of the target cell and the first layer of adjacent base stations of other cells of the base station to which the target cell belongs.
Step S130: and determining a polygonal area formed by the first layer of adjacent base stations as a reasonable coverage area of the target cell.
In this step, as shown in fig. 3, each first-layer neighboring base station is mapped on a GIS (Geographic Information System) map by the longitude and latitude coordinates determined in step S120, and these coordinate points are connected to form a polygonal area, where the polygonal area is a reasonable coverage area of a base station to which the target cell belongs, that is, a reasonable coverage area of all cells under the base station to which the target cell belongs. The traditional method for determining the reasonable coverage area of the base station is to set a threshold value for the coverage area of the base station, that is, as long as the coverage area of the base station exceeds the threshold value, it is determined that the cell under the base station has an over-coverage problem. Compared with the traditional method, the method for determining the reasonable coverage area has the advantages that the conditions of missed judgment or misjudgment and the like are not easy to occur, and the practicability is higher.
Step S140: and determining a sampling point of the target cell.
In this step, the sampling points are data reflecting latitude and longitude information of users in the target cell. There are various ways to obtain the sampling points. Preferably, the embodiment of the present invention adopts a method of determining the sampling point based on the data reported by the user terminal, as shown in fig. 4, the method specifically includes:
step S141: and acquiring a data set reported by the mobile phone terminal, wherein the data set comprises longitude and latitude data and an RSRP value.
In this step, the data set is a set of data obtained by sampling the wireless quality and the longitude and latitude reported based on a cell APP, that is, a cell business APP, and includes a cell ID, longitude and latitude data, an RSRP value of a cell, and the like. The cell ID refers to the ID of a cell where the application user of the mobile hall is located, and the longitude and latitude data refers to the longitude and latitude coordinates of the application user of the mobile hall. And the data sets can be determined to belong to the target cell by matching the cell ID in the data set with the ID of the target cell, so that the data set of the target cell is preliminarily screened out.
The values are stated as: compared with longitude and latitude data obtained by other methods, the longitude and latitude data reported by the lobby APP have higher precision, and the actually measured positioning precision is within 20 meters, so that the accuracy of subsequent evaluation of coverage can be improved.
Step S142: and when the RSRP value in the data set is smaller than a first preset threshold value, rejecting the data set.
After the data sets of the target cell are preliminarily screened, the data sets are further required to be subjected to data cleaning, namely null values and abnormal data are eliminated. The abnormal data comprises a data set with a low signal value, namely the RSRP value in the data set is smaller than a first preset threshold value. The first preset threshold is an empirical value for judging whether the information value is low, and is usually-115 dbm.
It can be understood that: in some embodiments, the step S142 may be omitted. If there is no abnormal data or less abnormal data in the data set of the cell, step S142 may be omitted to speed up the over-coverage identification of the cell.
Step S143: and determining the sampling point of the target cell according to the longitude and latitude data in the data set.
In this step, since the longitude and latitude data reported by the lobby APP is in the format of the high latitude coordinate, it needs to be converted into the format the same as the longitude and latitude coordinate of the base station to which the target cell belongs by the Python longitude and latitude conversion method. And the converted longitude and latitude coordinates are sampling points of the target cell.
It can be understood that: the sampling points can be determined not only in the above-described manner, but also in the following manners:
(1) the positioning method based on the fingerprint database comprises the following steps: the method comprises the steps of matching the signal strength of a cell where a user is located and the signal strength of adjacent cells determined by MRO (identity) data in MR (Measurement Report) data reported by the user with the signal strength in a fingerprint library to find a grid where the user is located, wherein the position coordinates of the grid are sampling points of the cell where the user is located.
(2) TA + AOA localization: the method comprises the steps of obtaining AOA (Angle-of-Arrival) and TA (Timing Advance) data of a user through MR (magnetic resonance) data, and obtaining the longitude and latitude of a base station of a cell where the user is located through engineering parameters. If the longitude and latitude coordinates of the base station covering the user terminal are (u, v), the longitude x of the sampling point is-k × sin (AOA/2+0.25) × (TA × 78.12+39.06) + u; the latitude of the sampling points, h cos (AOA/2+0.25) (TA 78.12+39.06) + v; where the k and h values are approximately corresponding values in units of meters and longitude units. The position information of the user terminal can be estimated through the formula, and the sampling point can be obtained.
(3) And (3) triangulation positioning: the method combines engineering parameters and MR data, calculates a central point by utilizing a triangle or polygon formed by a main service cell and two or more strongest adjacent cells, and performs field intensity weighted offset to obtain a sampling point.
Step S150: and determining the number of sampling points which are positioned outside the reasonable coverage range of the target cell.
Since the reasonable coverage has been determined on the GIS map in step S130, as shown in fig. 5, the number of sampling points outside or within the reasonable coverage can be determined by mapping the sampling points of the target cell on the GIS map.
Preferably, the manner of determining whether the sampling point is within the reasonable coverage range may be: and judging whether each sampling point is in a reasonable range once through a ray algorithm. As shown in fig. 6, the ray algorithm refers to: and making a ray horizontally from the point to the right, calculating the number of the intersection points of the ray and the edge of the polygon, and when the point is not on the edge of the polygon, if the point is an odd number, the point is always inside the polygon, otherwise, the point is outside the polygon. Therefore, a ray can be made from the sampling point to the right on the GIS map, and then the number of the intersection points of the ray and each side of the polygon forming the reasonable coverage range is calculated in sequence to judge whether the sampling point is in the reasonable range.
It should be noted that: some special cases need to be separately described when calculating the intersection point of the sampling point and each edge of the polygon. Assuming that the currently processed edge is P1P2 and the sample point is P, the following principle holds:
(1) if P is on P1P2, the sampling point P is directly judged to be in a reasonable range, and the intersection points of the P point and other sides of the polygon do not need to be calculated.
(2) If the ray from P happens to pass through P1 or P2, this intersection would be counted 2 times, since this point may have been counted when processing the other edges that end with P1 or P2.
(3) If the ray from P is parallel to P1P2, then the edge is ignored and the intersection of P with the other edges of the polygon continues to be computed.
The embodiment of the invention judges whether the sampling point is in a reasonable coverage range through a ray algorithm, the calculation process is simple and quick, and the progress of the whole over-coverage evaluation can be accelerated.
Step S160: and performing coverage identification on the target cell according to the number of the sampling points outside the reasonable coverage range of the target cell.
In this step, if the number of sampling points located outside the reasonable coverage is larger, it indicates that the coverage of the target cell is more likely to exceed the reasonable coverage. When the number or the number ratio of the sampling points outside the reasonable coverage range is greater than a certain degree, it is indicated that the sampling points outside the reasonable coverage range are not caused by abnormal conditions such as signal leakage, but the coverage range of the target cell exceeds the reasonable coverage range, so that whether the target cell is an over-coverage cell or not can be determined.
The embodiment of the invention determines the first layer of adjacent base stations of the target cell according to the engineering parameters, and determines the polygonal area formed by connecting the first layer of adjacent base stations as the reasonable coverage area of the target cell. And then judging whether the target cell has the problem of over coverage according to the number of sampling points of the target cell positioned in the reasonable coverage range and outside the reasonable coverage range. Compared with the prior art, the method and the device for evaluating the coverage area of the target cell have the advantages that the theoretically reasonable coverage area of the target cell is determined through the first-layer adjacent base station of the target cell, a threshold for evaluating the coverage area is not needed, the conditions of missed judgment, erroneous judgment and the like which easily occur once evaluation standards are evaluated can be effectively avoided, and the practicability is high. Meanwhile, the method for evaluating whether the over-coverage exists or not through the number of the sampling points located inside and outside the reasonable coverage range has higher accuracy.
There are many implementations of the step S120, and fig. 7 is a flowchart illustrating sub-steps of determining a first-tier neighbor base station in an embodiment of the present invention. As shown in fig. 7, the specific implementation manner of determining the first-tier neighbor base station is:
step S121: and determining the coordinate points of the base station to which the target cell belongs and all the adjacent base stations of the base station to which the target cell belongs according to the engineering parameters.
In this step, the neighboring base station refers to all base stations which are smaller than the neighboring cell and belong to the base station to which the target cell belongs. The engineering parameters belonging to the base stations can be determined by matching the IDs of the base stations with the IDs of the base stations in the engineering parameters, so that the longitude and latitude coordinates of the base stations can be determined according to the longitude and latitude information in the corresponding engineering parameters.
Step S122: and performing triangle drawing according to the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station by a Delaunay triangulation algorithm.
As shown in fig. 8, the delaunay triangulation algorithm is a set of triangles in which all points in a face are connected two by two to form a series of connected but non-overlapping triangles, and the circumscribed circle of the triangles does not contain any other point of the face. In the embodiment of the method, the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station are triangularly drawn.
The delaunay triangulation algorithm has the following excellent characteristics:
(1) closest approach: the triangle is formed with the nearest three points and none of the line segments (triangle sides) intersect.
(2) Uniqueness: consistent results will eventually be obtained regardless of where the region is built.
(3) Optimality: if the diagonals of the convex quadrangle formed by any two adjacent triangles can be interchanged, the smallest angle in the six interior angles of the two triangles cannot be enlarged.
(4) Most regular: the arrangement of the Delaunay triangulation results in the largest value if the smallest angles of each triangle in the triangulation are arranged in ascending order.
Step S123: and determining all the adjacent base stations contained in the triangle containing the base station to which the target cell belongs as the first-layer adjacent base station.
In this step, the neighboring base station included in the triangle including the base station to which the target cell belongs is a neighboring base station that forms a triangle together with the base station to which the target cell belongs. According to the characteristic of the closest property of the delaunay triangulation algorithm, the adjacent base station which forms a triangle together with the base station to which the target cell belongs can be determined to be a circle of adjacent base stations which are closest to the base station to which the target cell belongs. Therefore, the first-layer neighbor cells including the target cell or other cells under the base station to which the target cell belongs can be determined under the neighbor base stations, and then the neighbor base stations can be determined as the first-layer neighbor base stations.
Compared with the prior art, the method for determining the first-layer adjacent base station through the Delaunay triangulation algorithm does not need to calculate the distance between the base stations, the calculation process is simpler, and the process of identifying the coverage of the whole cell can be simplified.
There are many implementations of the step S160, and fig. 9 is a flowchart illustrating the sub-steps of performing coverage identification in the embodiment of the present invention. As shown in fig. 9, the implementation of the coverage identification specifically includes:
step S161: and dividing the number of the sampling points out of the reasonable coverage range by the total number of the sampling points to obtain the over-coverage rate of the target cell.
The number of the sampling points located outside the reasonable coverage range may be obtained through step S150, and the total number of the sampling points may be obtained by calculating the number of all the sampling points of the target cell when the sampling points of the target cell are determined in step S150. Because the sampling points are obtained through the data reported by the user, the more the user reports, the more the number of the sampling points, so that the number of the sampling points of different cells may have larger difference. Therefore, it is more reasonable to calculate the over-coverage of the target cell by the ratio of the number of sampling points located outside the reasonable coverage to the total number of sampling points.
Step S162: and when the over coverage rate is greater than a second preset threshold value, determining that the target cell is an over coverage cell.
In this step, the over-coverage of all cells under the base station to which the target cell belongs is compared with a second preset threshold. Wherein the second preset threshold is generally 40%. When the coverage rate of the cells under the base station of the target cell exceeds 40%, the cells are determined to be over-coverage cells.
It can be understood that: for different base stations, the second preset threshold may also be selected to have different values according to the actual situation of the base station.
In other embodiments, there may be other implementations of step S160, and fig. 10 is a flowchart illustrating a sub-step of performing coverage identification in another embodiment of the present invention. As shown in fig. 10, another implementation of performing coverage identification specifically is:
step S601: and calculating the over coverage rate of all cells under the base station to which the target cell belongs.
In this step, the calculation method of the over coverage is the same as that of step S161, and is not described herein again.
Step S602: and summing the over coverage rates of all the cells and taking the average value to obtain the area average value.
Step S603: and when the difference between the over-coverage rate of the target cell and the area average value is larger than a third preset threshold value, determining that the target cell is an over-coverage cell.
Because the actual conditions of the base stations are different, the over-coverage identification combining the actual conditions of the base stations is more accurate, and the area average value can reflect the actual coverage condition of the base stations. When the difference between the over-coverage rate of the target cell and the area average value is greater than a third preset threshold, it indicates that the target cell deviates more than the actual coverage condition of the base station to which the target cell belongs, and it can be determined that the target cell is the over-coverage cell. Wherein the third preset threshold may be 20%.
It should be noted that: the area mean value can also be classified according to frequency bands to obtain the area mean values of different frequency bands, and the over coverage rate of the target cell is only different from the area mean value of the same frequency band. For example, the cells under the base station to which the target cell belongs are d1, d2, d3, f1 and f2, wherein d1, d2 and d3 belong to the d band, and f1 and f2 belong to the f band. Therefore, the over-coverage ratios of D1, D2 and D3 and F1 and F2 can be summed and averaged to obtain area average values D and F, and if the target cell is D1, the over-coverage ratio of the target cell only needs to be subtracted from the area average value D and then compared with a third preset threshold.
The embodiment of the invention determines the first layer of adjacent base stations of the target cell according to the engineering parameters, and determines the polygonal area formed by connecting the first layer of adjacent base stations as the reasonable coverage area of the target cell. And then judging whether the target cell has the problem of over coverage according to the number of sampling points of the target cell positioned in the reasonable coverage range and outside the reasonable coverage range. Compared with the prior art, the method and the device for evaluating the coverage area of the target cell have the advantages that the theoretically reasonable coverage area of the target cell is determined through the first-layer adjacent base station of the target cell, a threshold for evaluating the coverage area is not needed, the conditions of missed judgment, erroneous judgment and the like which easily occur once evaluation standards are evaluated can be effectively avoided, and the practicability is high. Meanwhile, the method for evaluating whether the over-coverage exists or not through the number of the sampling points located inside and outside the reasonable coverage range has higher accuracy.
Fig. 11 is a schematic structural diagram illustrating a cell over-coverage identifying apparatus according to an embodiment of the present invention. As shown in fig. 11, the apparatus 100 includes an obtaining module 10, a first determining module 20, a second determining module 30, a third determining module 40, a fourth determining module 50, and an identifying module 60.
An obtaining module 10, configured to obtain engineering parameters; a first determining module 20, configured to determine a first-layer neighbor base station of a target cell according to the engineering parameter; a second determining module 30, configured to determine a polygonal area formed by the first-layer neighboring base station as a reasonable coverage area of the target cell; a third determining module 40, configured to determine a sampling point of the target cell; a fourth determining module 50, configured to determine the number of sampling points located outside the reasonable coverage area of the target cell; and the identifying module 60 is configured to perform coverage identification on the target cell according to the number of the sampling points located outside the reasonable coverage range of the target cell.
In an optional manner, the first determining module 20 specifically includes: determining coordinate points of the base station to which the target cell belongs and all adjacent base stations of the base station to which the target cell belongs according to the engineering parameters; performing triangle drawing according to the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station by a Delaunay triangulation algorithm; and determining all the adjacent base stations contained in the triangle containing the base station to which the target cell belongs as the first-layer adjacent base station.
In an optional manner, the third determining module 40 is specifically: acquiring a data set reported by a mobile phone terminal, wherein the data set comprises longitude and latitude data and an RSRP value; and determining the sampling point of the target cell according to the longitude and latitude data in the data set.
In an optional manner, the third determining module 40 further includes: and when the RSRP value in the data set is smaller than a first preset threshold value, rejecting the data set.
In an optional manner, the fourth determining module 50 is specifically: and determining the number of sampling points outside the reasonable coverage range according to a ray algorithm.
In an optional manner, the identification module 60 is specifically: dividing the number of the sampling points out of the reasonable coverage range by the total number of the sampling points to obtain the over-coverage rate of the target cell; and when the over coverage rate is greater than a second preset threshold value, determining that the target cell is an over coverage cell.
In an optional manner, the identification module 60 is specifically: calculating the over coverage rate of all cells under the base station to which the target cell belongs; summing the over coverage rates of all the cells and taking the average value to obtain an area average value; and when the difference between the over-coverage rate of the target cell and the area average value is larger than a third preset threshold value, determining that the target cell is an over-coverage cell.
The embodiment of the invention determines the first layer of adjacent base stations of the target cell through the engineering parameters, and determines the polygonal area formed by connecting the first layer of adjacent base stations as the reasonable coverage area of the target cell through the second determining module 30. Then, according to the number of sampling points of the target cell located in the reasonable coverage area and outside the reasonable coverage area, whether the target cell has the problem of over-coverage is judged through the identification module 60. Compared with the prior art, the method and the device for evaluating the coverage area of the target cell have the advantages that the theoretically reasonable coverage area of the target cell is determined through the first-layer adjacent base station of the target cell, a threshold for evaluating the coverage area is not needed, the conditions of missed judgment, erroneous judgment and the like which easily occur once evaluation standards are evaluated can be effectively avoided, and the practicability is high. Meanwhile, the method for evaluating whether the over-coverage exists or not through the number of the sampling points located inside and outside the reasonable coverage range has higher accuracy.
The embodiment of the invention provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the cell over-coverage identification method in any method embodiment.
Fig. 12 is a schematic structural diagram of a cell over-coverage identification device according to an embodiment of the present invention, and a specific implementation of the cell over-coverage identification device is not limited in the specific embodiment of the present invention.
As shown in fig. 12, the cell over-coverage identifying apparatus may include: a processor (processor)202, a communication Interface (Communications Interface)204, a memory (memory)206, and a communication bus 208.
Wherein: the processor 202, communication interface 204, and memory 206 communicate with each other via a communication bus 208. A communication interface 204 for communicating with network elements of other devices, such as clients or other servers. The processor 202 is configured to execute the program 210, and may specifically perform relevant steps in the above-described cell over-coverage identification method embodiment.
In particular, the program 210 may include program code that includes computer operating instructions.
The processor 202 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention. The cell over-coverage identifying device comprises one or more processors, which can be processors of the same type, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 206 for storing a program 210. Memory 206 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 210 may specifically be used to cause the processor 202 to perform the following operations:
acquiring engineering parameters;
determining a first layer of adjacent base stations of the target cell according to the engineering parameters;
determining a polygonal area formed by the first layer of adjacent base stations as a reasonable coverage area of the target cell;
determining a sampling point of the target cell;
determining the number of sampling points outside the reasonable coverage range of the target cell;
and performing coverage identification on the target cell according to the number of the sampling points outside the reasonable coverage range of the target cell.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
determining coordinate points of the base station to which the target cell belongs and all adjacent base stations of the base station to which the target cell belongs according to the engineering parameters;
performing triangle drawing according to the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station by a Delaunay triangulation algorithm;
and determining all the adjacent base stations contained in the triangle containing the base station to which the target cell belongs as the first-layer adjacent base station.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
acquiring a data set reported by a mobile phone terminal, wherein the data set comprises longitude and latitude data and an RSRP value;
and determining the sampling point of the target cell according to the longitude and latitude data in the data set.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
and when the RSRP value in the data set is smaller than a first preset threshold value, rejecting the data set.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
and determining the number of sampling points outside the reasonable coverage range according to a ray algorithm.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
dividing the number of the sampling points out of the reasonable coverage range by the total number of the sampling points to obtain the over-coverage rate of the target cell;
and when the over coverage rate is greater than a second preset threshold value, determining that the target cell is an over coverage cell.
In an alternative manner, the program 210 may be further specifically configured to cause the processor 202 to perform the following operations:
calculating the over coverage rate of all cells under the base station to which the target cell belongs;
summing the over coverage rates of all the cells and taking the average value to obtain an area average value;
and when the difference between the over-coverage rate of the target cell and the area average value is larger than a third preset threshold value, determining that the target cell is an over-coverage cell.
The embodiment of the invention determines the first layer of adjacent base stations of the target cell according to the engineering parameters, and determines the polygonal area formed by connecting the first layer of adjacent base stations as the reasonable coverage area of the target cell. And then judging whether the target cell has the problem of over coverage according to the number of sampling points of the target cell positioned in the reasonable coverage range and outside the reasonable coverage range. Compared with the prior art, the method and the device for evaluating the coverage area of the target cell have the advantages that the theoretically reasonable coverage area of the target cell is determined through the first-layer adjacent base station of the target cell, a threshold for evaluating the coverage area is not needed, the conditions of missed judgment, erroneous judgment and the like which easily occur once evaluation standards are evaluated can be effectively avoided, and the practicability is high. Meanwhile, the method for evaluating whether the over-coverage exists or not through the number of the sampling points located inside and outside the reasonable coverage range has higher accuracy.
An embodiment of the present invention provides an executable program, where the executable program may execute the cell coverage identification method in any of the above method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. A method for identifying cell over coverage, comprising:
acquiring engineering parameters;
determining a first layer of adjacent base stations of the target cell according to the engineering parameters;
determining a polygonal area formed by the first layer of adjacent base stations as a reasonable coverage area of the target cell;
determining a sampling point of the target cell;
determining the number of sampling points outside the reasonable coverage range of the target cell;
and performing coverage identification on the target cell according to the number of the sampling points outside the reasonable coverage range of the target cell.
2. The method according to claim 1, wherein the determining the first-tier neighbor base station of the target cell according to the engineering parameter specifically comprises:
determining coordinate points of the base station to which the target cell belongs and all adjacent base stations of the base station to which the target cell belongs according to the engineering parameters;
performing triangle drawing according to the coordinate point of the base station to which the target cell belongs and the coordinate point of the adjacent base station by a Delaunay triangulation algorithm;
and determining all the adjacent base stations contained in the triangle containing the base station to which the target cell belongs as the first-layer adjacent base station.
3. The method according to claim 1 or 2, wherein the determining the sampling points of the cell of the target base station specifically comprises:
acquiring a data set reported by a mobile phone terminal, wherein the data set comprises longitude and latitude data and an RSRP value;
and determining the sampling point of the target cell according to the longitude and latitude data in the data set.
4. The method of claim 3, wherein after acquiring set data reported by the mobile phone terminal, the data set comprises longitude and latitude data and an RSRP value, the method further comprises:
and when the RSRP value in the data set is smaller than a first preset threshold value, rejecting the data set.
5. The method according to claim 1 or 2, wherein the determining the number of sampling points located outside the reasonable coverage of the target cell is specifically: and determining the number of sampling points outside the reasonable coverage range according to a ray algorithm.
6. The method according to claim 1 or 2, wherein the identifying the target cell as being covered according to the number of the sampling points located outside the reasonable coverage area of the target cell specifically comprises:
dividing the number of the sampling points out of the reasonable coverage range by the total number of the sampling points to obtain the over-coverage rate of the target cell;
and when the over coverage rate is greater than a second preset threshold value, determining that the target cell is an over coverage cell.
7. The method according to claim 1 or 2, wherein the identifying the target cell as being covered according to the number of the sampling points located outside the reasonable coverage area of the target cell specifically comprises:
calculating the over coverage rate of all cells under the base station to which the target cell belongs;
summing the over coverage rates of all the cells and taking the average value to obtain an area average value;
and when the difference between the over-coverage rate of the target cell and the area average value is larger than a third preset threshold value, determining that the target cell is an over-coverage cell.
8. An apparatus for identifying cell over coverage, comprising:
the acquisition module is used for acquiring engineering parameters;
a first determining module, configured to determine a first-tier neighbor base station of a target cell according to the engineering parameter;
a second determining module, configured to determine a polygonal area formed by the first-layer neighboring base station as a reasonable coverage area of the target cell;
a third determining module, configured to determine a sampling point of the target cell;
a fourth determining module, configured to determine the number of sampling points located outside a reasonable coverage area of the target cell;
and the identification module is used for carrying out coverage identification on the target cell according to the number of the sampling points which are positioned outside the reasonable coverage range of the target cell.
9. A cell over-coverage identification device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction, which causes the processor to execute the method for identifying cell over coverage according to any one of claims 1 to 7.
10. A computer storage medium having stored thereon at least one executable instruction for causing a processor to perform the method of cell over-coverage identification according to any one of claims 1-7.
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