CN117082436A

CN117082436A - Method and device for evaluating azimuth rationality of cell antenna based on MDT data

Info

Publication number: CN117082436A
Application number: CN202210503938.XA
Authority: CN
Inventors: 张航; 严文发; 吴丽雯; 刘建国; 王红雷; 商俊; 陈于强; 万朝辉; 丁朝阳
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd
Priority date: 2022-05-10
Filing date: 2022-05-10
Publication date: 2023-11-17

Abstract

The embodiment of the invention relates to the technical field of mobile communication, and discloses a method and a device for evaluating the rationality of a cell antenna azimuth angle based on MDT data, wherein the method comprises the following steps: obtaining MDT data of at least one service cell, and determining a weak coverage grid set in the at least one service cell according to the MDT data; acquiring a weak coverage center point position of the at least one serving cell according to the weak coverage grid set; determining a target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell; and adjusting the actual azimuth angle of the at least one serving cell according to the target azimuth angle. By the mode, the embodiment of the invention can accurately and rapidly judge the rationality of the azimuth angle of the service cell in batches, is beneficial to improving the rationality of the azimuth angle setting of the service cell and improves the coverage quality of the whole network.

Description

Method and device for evaluating azimuth rationality of cell antenna based on MDT data

Technical Field

The embodiment of the invention relates to the technical field of mobile communication, in particular to a method and a device for evaluating the rationality of a cell antenna azimuth angle based on MDT data.

Background

The main coverage area of the signal of the serving cell is directly determined by the azimuth angle of the corresponding antenna of the serving cell, and if the azimuth angle of the antenna is set unreasonably, the situation that the signal of a large-area user is weaker can be caused. In the prior art, three methods are mainly adopted to evaluate the rationality expansion of the azimuth angle of the antenna.

The first method is based on the manual use of geographical software (hundred degree map, high-germany map, mapinfo, etc.), analyzes the situation of the wireless environment around the serving cell, and considers the azimuth angles of other surrounding serving cells, if dense buildings and important roads exist, but antennas of none of the nearby serving cells face in these directions, the azimuth angle settings of these serving cells are considered unreasonable. The second method is based on simulation, in particular to an electronic map and current network engineering parameters, the coverage condition of each area is obtained through link simulation, azimuth angle proposal setting values of a piece of area serving cells are output in batches, the azimuth angle proposal setting values are compared with azimuth angles of the current network serving cells, and if the azimuth angles are too different, the azimuth angle setting of the serving cells is considered unreasonable. A third method is based on measurement report (Measurement Report, MR) data, and when the difference between the user azimuth of the MR sample point and the reference azimuth of the serving cell is too large, the azimuth of the serving cell is considered unreasonable.

The first method has low operability in practical application, and the number of the existing network service cells is large and cannot be judged by naked eyes one by one. Because of the limited number of service cells for which each person evaluates whether the azimuth angle is reasonable every day, the efficiency is low; the wireless environment conditions such as buildings, roads and the like do not represent the actual user distribution and service distribution conditions, but are simple simulation and low in accuracy. The second method has high precision requirement on the electronic map, the high precision electronic map has at least 5m precision and better 1m precision, and the present high precision map only has a central urban area, and no rural villages and towns exist. In addition, special simulation software is needed, a proper propagation model is selected, application is complex, modeling is expensive, and calculation amount is large. For the third method, the MR azimuth is estimated by the time delays of three serving cells reaching one base station, and the time delays are inaccurate due to the blockage of buildings and the like, particularly in urban areas, the original azimuth in the MR data is inaccurate, and the judgment of the azimuth rationality of the serving cells is directly affected.

Therefore, the reliability evaluation method of the three antenna azimuth angles in the prior art is low in accuracy and efficiency.

Disclosure of Invention

In view of the above problems, embodiments of the present invention provide a method and an apparatus for evaluating the azimuth rationality of a cell antenna based on MDT data, which overcome or at least partially solve the above problems.

According to an aspect of the embodiment of the present invention, there is provided a method for evaluating the rationality of a cell antenna azimuth angle based on MDT data, the method comprising: obtaining MDT data of at least one service cell, and determining a weak coverage grid set in the at least one service cell according to the MDT data; acquiring a weak coverage center point position of the at least one serving cell according to the weak coverage grid set; determining a target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell; and evaluating the rationality of the actual azimuth angle of the at least one serving cell according to the target azimuth angle.

In an alternative manner, the MDT data includes at least: a time stamp, a serving cell ID, a terminal longitude, a terminal latitude, and a serving cell RSRP, the determining a weak coverage grid set in the at least one serving cell from the MDT data comprising: counting the weak coverage proportion of cells of at least one serving cell according to the MDT data, wherein the weak coverage proportion of cells of any serving cell is the proportion of weak coverage sampling points in the serving cell, wherein the RSRP of the serving cell is smaller than a first preset threshold value; acquiring grid distribution of a geographic area where the at least one serving cell is located, and corresponding each MDT data to each grid according to the terminal longitude and the terminal latitude; counting the weak coverage proportion of grids in each grid of the at least one serving cell, wherein the weak coverage proportion of the grids of any one grid is the proportion of weak coverage grids in the grids, wherein the RSRP of the serving cell is smaller than the first preset threshold; and acquiring the weak coverage grid set according to the cell weak coverage proportion and the grid weak coverage proportion of the at least one service cell.

In an optional manner, the obtaining the weak coverage grid set according to the cell weak coverage proportion and the grid weak coverage proportion of the at least one serving cell includes: if the cell weak coverage proportion is larger than a first preset proportion, determining that the service cell corresponding to the cell weak coverage proportion is a weak coverage service cell; and screening all grids with the grid weak coverage ratio larger than a second preset ratio for any weak coverage service cell to form the weak coverage grid set.

In an optional manner, the obtaining the weak coverage center point position of the at least one serving cell according to the weak coverage grid set includes: if the number of the grids in the weak coverage grid set is less than 3, taking the center point position of the grid with the maximum weak coverage sampling point as the weak coverage center point position of the service cell corresponding to the weak coverage grid set, wherein the weak coverage sampling point is the number of MDT data sampling points of which the RSRP of the service cell is less than a first preset threshold value; and if the weak coverage grid set is greater than or equal to 3 grids, sequencing at least more grids in the weak coverage grid set according to the weak coverage sampling points, and determining the weak coverage center point position according to the positions of the first 3 grids in the sequence.

In an alternative manner, the determining the weak coverage center point position according to the positions of the top 3 grids includes: if the number of weak coverage sampling points of a first grid is less than or equal to 3 times of the number of weak coverage sampling points of a third grid, and the antenna position of the service cell is located outside a triangle formed according to the positions of the first 3 grids, the center of gravity of the triangle is located as the weak coverage center point position of the service cell, the first grid is the grid with the most weak coverage sampling points among the 3 grids, and the third grid is the grid with the least weak coverage sampling points among the 3 grids; otherwise, the center point position of the first grid is taken as the weak coverage center point position of the service cell.

In an alternative manner, the determining the target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell includes: acquiring a connecting line of the weak coverage central point position and the antenna position of the at least one serving cell; and acquiring an included angle between the connecting line clockwise in the north direction and the target azimuth angle.

In an alternative manner, the evaluating the rationality of the actual azimuth of the at least one serving cell according to the target azimuth includes: comparing the target azimuth angle with the actual azimuth angle for any serving cell; if the deviation between the target azimuth angle and the actual azimuth angle is smaller than a preset difference value, determining that the actual azimuth angle of the serving cell is reasonable; if the deviation between the target azimuth angle and the actual azimuth angle exceeds the preset difference value, determining that the actual azimuth angle of the serving cell is unreasonable, and adjusting the actual azimuth angle to the target azimuth angle.

According to another aspect of the embodiment of the present invention, there is provided a cell antenna azimuth rationality evaluation device based on MDT data, the device including: a weak coverage acquisition unit, configured to acquire MDT data of at least one serving cell, and determine a weak coverage grid set in the at least one serving cell according to the MDT data; a position obtaining unit, configured to obtain a weak coverage center point position of the at least one serving cell according to the weak coverage grid set; a target acquisition unit, configured to determine a target azimuth angle of the at least one serving cell according to the weak coverage center point position and an antenna position of the at least one serving cell; and the rationality evaluation unit is used for evaluating the rationality of the actual azimuth angle of the at least one serving cell according to the target azimuth angle.

According to another aspect of an embodiment of the present invention, there is provided a computing device including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; the memory is configured to store at least one executable instruction that causes the processor to perform the steps of the above-described MDT data based cell antenna azimuth rationality assessment method.

According to yet another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing the processor to perform the steps of the above-described MDT data based cell antenna azimuth rationality assessment method.

The embodiment of the invention obtains MDT data of at least one service cell and determines a weak coverage grid set in the at least one service cell according to the MDT data; acquiring a weak coverage center point position of the at least one serving cell according to the weak coverage grid set; determining a target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell; according to the target azimuth, the rationality of the actual azimuth of the at least one service cell is evaluated, the rationality of the azimuth of the service cell can be judged in batches, accurately and quickly, the rationality of the azimuth setting of the service cell is improved, and the whole network coverage quality is improved.

The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.

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 designate like parts throughout the figures. In the drawings:

fig. 1 is a schematic flow chart of a cell antenna azimuth rationality evaluation based on MDT data according to an embodiment of the present invention;

fig. 2 is a schematic diagram showing a grid corresponding to an MDT sampling point in the method for evaluating the azimuth rationality of a cell antenna based on MDT data according to an embodiment of the present invention;

fig. 3 is a schematic diagram of cell-grid level MDT data according to an embodiment of the present invention, which is a method for evaluating the azimuth rationality of a cell antenna based on MDT data;

Fig. 4 shows a schematic diagram of weak coverage center points of which weak coverage grids are smaller than 3 in the method for evaluating the azimuth rationality of a cell antenna based on MDT data according to the embodiment of the present invention;

fig. 5 shows a schematic diagram of a target azimuth angle of an antenna longitude and latitude position outside a triangle according to an embodiment of the invention, which is based on MDT data, of a method for evaluating the azimuth angle rationality of a cell antenna;

fig. 6 shows a schematic diagram of a target azimuth angle of an antenna longitude and latitude position in a triangle according to an embodiment of the invention, which is based on MDT data, of a method for evaluating azimuth angle rationality of a cell antenna;

fig. 7 is a schematic structural diagram of a device for evaluating the azimuth rationality of a cell antenna based on MDT data according to an embodiment of the present invention;

FIG. 8 illustrates a schematic diagram of a computing device provided by 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 present invention are shown in the drawings, it should be understood that the present invention may 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.

Fig. 1 shows a flow chart of a method for evaluating the rationality of a cell antenna azimuth angle based on MDT data according to an embodiment of the present invention. The method for evaluating the rationality of the azimuth angle of the cell antenna based on the MDT data is applied to a base station or a server, and as shown in fig. 1, the method for evaluating the rationality of the azimuth angle of the cell antenna based on the MDT data comprises the following steps:

step S11: MDT data of at least one service cell is obtained, and a weak coverage grid set in the at least one service cell is determined according to the MDT data.

In an embodiment of the present invention, minimization of drive tests (Minimization of Drive-tests, MDT) data is data specified in the 3GPP protocol to be forcibly generated, including specified fields, and is stored in an OMC server. According to the 3GPP protocol, the commercial terminal is forced to report the details of the sampling point including longitude and latitude positions, level intensity and the like according to a specified time interval. One MDT data corresponds to one sampling point. The MDT data includes at least: time stamp, serving cell ID, terminal longitude, terminal latitude, and serving cell RSRP. After the original MDT data is obtained, the original MDT data is parsed, and a time stamp (TimeStamp), a service CELL number (CELL ID), a Longitude (Longitude) of a terminal (UE), a Latitude (Latitude) of the UE, and a received power (Single Cell Reference Signal Receiving Power, scrrp) of a reference signal of the service CELL in the original MDT data are parsed and screened, and are discarded as key fields, and the other fields are not involved in subsequent computation, so that the MDT data are shown in table 1.

TABLE 1 MDT data

Time stamp	Serving cell ID	Serving cell RSRP	UE longitude	UE latitude
					TimeStamp	CellID	SCRSRP	Longitude	Latitude
2019-4-25T8:8:26.852	253270659	50	114.9131	30.41885
					......	......	......	......	......

The embodiment of the invention further carries out numerical conversion processing on the screened key fields. Specifically, according to the 3GPP co-ordination, the key field "serving cell RSRP" in table 1 is subtracted by 140 in dbm, to obtain the actual serving cell RSRP value. After the field "serving cell ID" is divided by 256, a remainder and a quotient are obtained, and a new generic gateway interface (Common Gateway Interface, CGI) is obtained, and the form of the serving cell ID is 460-00-quotient-remainder, as shown in table 2.

Table 2 data converted MDT data

And after the key fields screened in the MDT data are subjected to numerical conversion, determining a weak coverage grid set in the at least one service cell according to the key fields subjected to numerical conversion. Optionally, first, a first weak coverage proportion of the at least one serving cell is counted according to the MDT data, where the first weak coverage proportion of any serving cell is a proportion of weak coverage sampling points in the serving cell, where RSRP of the serving cell is smaller than a first preset threshold. And defining a field 'total number of cell sampling points', and counting the number of the RSRP (dbm) of the serving cell which is not empty under the same serving cell ID. The first preset threshold may be set as desired, preferably-110 dbm. When the RSRP of a serving cell corresponding to certain MDT data is smaller than-110 dbm, determining the MDT data as weak coverage sampling points, defining a field 'cell weak coverage ratio' as the number of the weak coverage sampling points of the cells of the same serving cell, and dividing the number by the total number of the field cell sampling points. Optionally, counting the number of data which are not empty in the RSRP of the serving cell in the MDT data for any one of the serving cell IDs to obtain the total number of cell sampling points of the serving cell; counting the number of data, in the MDT data, of which the RSRP of the serving cell is smaller than the first preset threshold value, and obtaining a first weak coverage sampling point number of the serving cell; and calculating the ratio of the number of the sampling points with the first weak coverage to the total number of the sampling points of the cell to obtain the weak coverage ratio. The total number of cell sampling points and the weak coverage ratio according to the MDT data statistics in table 2 are shown in table 3, for example.

Table 3 total number of cell samples and weak coverage ratio

And then acquiring grid distribution of the geographic area where the at least one serving cell is located, and corresponding each MDT data to each grid according to the terminal longitude and the terminal latitude. The geographical areas corresponding to all the service cells in the embodiment of the invention are divided into square grids with the side length of 50 meters which are closely connected, and the longitude and latitude of the upper left corner, the lower left corner, the upper right corner, the lower right corner and the central point of the square grids are recorded. All grids may be numbered sequentially 1, 2, 3, 4, … …, N. That is, for a certain grid numbered N, grid N is indicated. The position of any one of the grids is represented by the longitude and latitude of the center point of the grid. For the MDT data in table 2, two fields, namely the UE longitude and the UE latitude, included in the MDT sampling point determine the geographic position of the MDT sampling point, and compare the geographic position with the grid corresponding range to attribute the MDT sampling point to the corresponding grid, so as to obtain the corresponding grid number. As shown in fig. 2, any one grid may correspond to one or more MDT sampling points.

And after the MDT sampling points corresponding to the MDT data are corresponding to the grids, counting a second weak coverage proportion in each grid of the at least one service cell, wherein the second weak coverage proportion of any grid is the proportion of weak coverage grids in the grids, wherein the RSRP of the service cell is smaller than the first preset threshold value. Optionally, counting the number of data which is not empty in the serving cell RSRP in the MDT data for any grid with the same number to obtain the total number of grid sampling points of the grid; counting the number of data of which the RSRP of the serving cell is smaller than a first preset threshold value in MDT data of the grid to obtain second weak coverage sampling points corresponding to the grid; and calculating the ratio of the number of the second weak coverage sampling points to the total number of the grid sampling points to obtain the weak coverage ratio. For example, for MDT sampling points with the same serving cell ID and grid number in table 3, the following calculation is performed: counting the number of columns of a corresponding field 'serving cell RSRP', and adding the columns into a field 'grid sampling point total number'; counting the average value corresponding to the corresponding field 'serving cell RSRP', and adding the average value into the field 'grid serving cell average RSRP'; screening the value corresponding to the field 'serving cell RSRP', wherein the value is less than-110, counting the number of lines corresponding to the field, and increasing the value to the field 'the number of grid weak coverage sampling points'; the second weak coverage sample number divided by the grid sample number is calculated and added as the field "grid weak coverage ratio". The serving cell RSRP, UE longitude, UE latitude are not needed for the moment, are no longer presented and are used for the subsequent calculation process, thus yielding the cell-grid level MDT data in fig. 3.

Finally, further processing is performed based on the field data contained in fig. 3, and the weak coverage grid set is obtained according to the first weak coverage proportion and the second weak coverage proportion of the at least one serving cell. Optionally, if the cell weak coverage ratio is greater than a first preset ratio, determining that the serving cell corresponding to the cell weak coverage ratio is a weak coverage serving cell; and screening all grids with the grid weak coverage ratio larger than a second preset ratio for any weak coverage service cell to form the weak coverage grid set. Wherein the grids with the grid weak coverage ratio larger than the second preset ratio are weak coverage grids, the first preset ratio and the second preset ratio can be set according to the needs, and preferably, the first preset ratio is 10%, and the second preset ratio is 10%. When the weak coverage proportion of the cell is more than 10%, the coverage of the cell is judged to have a problem, and the service cell is a weak coverage service cell and needs to be evaluated for azimuth rationality. And when the weak coverage ratio of the cell is less than or equal to 10%, the whole coverage of the service cell is good, and the default is that the azimuth angle of the service cell is reasonable. And for a certain weak coverage cell, screening all grids with the grid weak coverage proportion of more than 10 percent to form a weak coverage grid set. Wherein the grid with a grid weak coverage ratio greater than 10% is a weak coverage grid.

The embodiment of the invention is based on the longitude and latitude information directly reported by the user GPS in the MDT data, and is more applicable to scenes and higher in accuracy than the estimation of the propagation delay of the azimuth-source wireless signal of the MR.

Step S12: and acquiring the weak coverage central point position of the at least one serving cell according to the weak coverage grid set.

In the embodiment of the invention, for the weak coverage cell, a weak coverage grid is necessarily present. And if the number of the grids in the weak coverage grid set is smaller than 3, taking the center point position of the grid with the maximum weak coverage sampling point as the weak coverage center point position of the service cell corresponding to the weak coverage grid set, wherein the weak coverage sampling point is the number of MDT data sampling points of which the RSRP of the service cell is smaller than a first preset threshold value. For example, when all grids of a specific serving cell ID are 1 or 2 grids with a grid weak coverage ratio greater than 10% are selected, the center point position of the grid of the TOP1 weak coverage sampling point (i.e., the number of weak coverage sampling points is the largest) is determined as the weak coverage center point position of the serving cell.

And if the weak coverage grid set is greater than or equal to 3 grids, sequencing at least more grids according to the number of weak coverage sampling points, reserving 3 weak coverage grids, and determining the position of a weak coverage center point according to the reserved positions of the 3 weak coverage grids. Preferably, the weak coverage center point position is determined according to the positions of the top 3 grids of the reserved sequence.

In the embodiment of the invention, when determining the weak coverage center point position according to the reserved 3 weak coverage grids, if the number of weak coverage sampling points of the first grid is less than or equal to 3 times of the number of weak coverage sampling points of the third grid, and the antenna position of the serving cell is located outside a triangle formed according to the positions of the 3 grids which are ranked foremost, the center of gravity of the triangle is positioned as the weak coverage center point position of the serving cell. Since the positions of the 3 grids are represented by the longitude and latitude of the center point thereof, and are located on the earth surface at a relatively close distance, the 3 grids can be approximately considered to be located on the same horizontal plane. For any triangle ABC that includes three vertices A, B, C, its center of gravity is the intersection of the three centerlines of the triangle. If the coordinates of three vertexes of the triangle are a (x 1, y 1), B (x 2, y 2) and C (x 3, y 3), the coordinate formula of the gravity center (x, y) of the triangle ABC is x= (x1+x2+x3)/3, y= (y1+y2+y3)/3. The first grid is the grid with the most weak coverage sampling points in the 3 grids, and the third grid is the grid with the least weak coverage sampling points in the 3 grids. Otherwise, the center point position of the first grid is taken as the weak coverage center point position of the service cell.

Step S13: and determining a target azimuth angle of the at least one serving cell according to the weak coverage central point position and the antenna position of the at least one serving cell.

In the embodiment of the invention, the target azimuth angle is determined based on the relative relation between the positions of the triangle formed by the connection line of the cell antenna position and the weak coverage central point position. Optionally, acquiring a connection line between the weak coverage center point position and the antenna position of the at least one serving cell; and acquiring an included angle between the connecting line clockwise in the north direction and the target azimuth angle.

In the embodiment of the present invention, as shown in fig. 4, when all weak coverage grids of a specific serving cell ID are 1 or 2, the position of the grid center point of the TOP1 weak coverage sampling point is defined as the weak coverage center point position B, that is, the target coverage point, the longitude and latitude position of the cell antenna is defined as the point a, the angle between the clockwise direction and the line of the AB point is defined as the target azimuth angle β, and the value range of the target azimuth angle β is 0 to 360 degrees.

For all grids of a certain appointed service cell ID, when all weak coverage grids with the grid weak coverage proportion being more than 10% are 3 or more, connecting the longitude and latitude of the centers of the three weak coverage grids into a triangle, and positioning the gravity center of the triangle as a point B. The latitude and longitude position of the serving cell antenna is defined as point a.

Analysis was performed in several conditions:

a) When the number of weak coverage sampling points of the weak coverage grid TOP3 is too small, modifying the position of the weak coverage central point, and directly determining the position of the central point of the weak coverage grid TOP1 as the position of the weak coverage central point. Specifically, when the weak coverage grid TOP1 with the largest number of weak coverage sampling points is greater than 3 and the weak coverage grid TOP3 with the smallest number of weak coverage sampling points is considered to be too small in the weak coverage grid TOP3 without considering the coverage requirement, only 1 or 2 weak coverage grids are directly processed according to the serving cell to output the target azimuth angle, which is not described herein.

b) When the longitude and latitude position a of the serving cell antenna is outside the triangle area, as shown in fig. 5, the point B is regarded as a weak coverage center point position, the angle between the north direction and the point AB after being connected is defined as a target azimuth angle, and the range of the angle is 0 to 360 degrees.

c) When the longitude and latitude position a of the serving cell antenna is in the triangle area, as shown in fig. 6, it is illustrated that the three weak coverage grids are relatively separated in geographic position, the azimuth direction of the cell cannot fully consider all the weak coverage grids, the longitude and latitude of the center of the weak coverage grid TOP1 can be directly defined as point C, an included angle is defined after the center longitude and latitude of the weak coverage grid TOP1 is connected with the AC point clockwise according to the north direction, the target azimuth is defined, and the range of values is 0 to 360 degrees.

The embodiment of the invention comprehensively considers the total weak coverage grid quantity, the relative position relation among the concentrated weak coverage grids and the relative quantity relation of weak coverage sampling points of the weak coverage grid TOP3, forms a set of analysis method, and evaluates the rationality of the azimuth angle of the service cell.

Step S14: and evaluating the rationality of the actual azimuth angle of the at least one serving cell according to the target azimuth angle.

Comparing the target azimuth angle with the actual azimuth angle for any serving cell; if the deviation between the target azimuth angle and the actual azimuth angle is smaller than a preset difference value, determining that the actual azimuth angle of the serving cell is reasonable; if the deviation between the target azimuth angle and the actual azimuth angle exceeds the preset difference value, determining that the actual azimuth angle of the serving cell is unreasonable, and adjusting the actual azimuth angle to the target azimuth angle. The preset difference value can be set according to the requirement, and is preferably 30 degrees.

The method for evaluating the rationality of the cell antenna azimuth based on the MDT data is reasonable in azimuth based on the batch judgment of MDT sampling points, high in efficiency and high in accuracy based on real users (sampling point distribution); and the method does not need an electronic map, does not need to establish a wireless signal propagation model, has small calculation amount each time, reduces the use requirement, and can judge the rationality of the azimuth angle of the cell in batches, accurately and quickly without help of site investigation and survey.

Fig. 7 shows a schematic structural diagram of a device for evaluating the azimuth rationality of a cell antenna based on MDT data according to an embodiment of the present invention. As shown in fig. 7, the cell antenna azimuth rationality evaluation device based on MDT data includes: a weak coverage acquisition unit 701, a position acquisition unit 702, a target acquisition unit 703, and a rationality evaluation unit 704. Wherein:

the weak coverage obtaining unit 701 is configured to obtain MDT data of at least one serving cell, and determine a weak coverage grid set in the at least one serving cell according to the MDT data; the location obtaining unit 702 is configured to obtain a weak coverage center point location of the at least one serving cell according to the weak coverage grid set; the target acquisition unit 703 is configured to determine a target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell; the reasonability evaluation unit 704 is configured to evaluate the reasonability of the actual azimuth of the at least one serving cell according to the target azimuth.

In an alternative manner, the MDT data includes at least: the weak coverage acquisition unit 701 is configured to: counting the weak coverage proportion of cells of at least one serving cell according to the MDT data, wherein the weak coverage proportion of cells of any serving cell is the proportion of weak coverage sampling points in the serving cell, wherein the RSRP of the serving cell is smaller than a first preset threshold value; acquiring grid distribution of a geographic area where the at least one serving cell is located, and corresponding each MDT data to each grid according to the terminal longitude and the terminal latitude; counting the weak coverage proportion of grids in each grid of the at least one serving cell, wherein the weak coverage proportion of the grids of any one grid is the proportion of weak coverage grids in the grids, wherein the RSRP of the serving cell is smaller than the first preset threshold; and acquiring the weak coverage grid set according to the cell weak coverage proportion and the grid weak coverage proportion of the at least one service cell.

In an alternative manner, the weak coverage acquisition unit 701 is configured to: if the cell weak coverage proportion is larger than a first preset proportion, determining that the service cell corresponding to the cell weak coverage proportion is a weak coverage service cell; and screening all grids with the grid weak coverage ratio larger than a second preset ratio for any weak coverage service cell to form the weak coverage grid set.

In an alternative way, the location acquisition unit 702 is configured to: if the number of the grids in the weak coverage grid set is less than 3, taking the center point position of the grid with the maximum weak coverage sampling point as the weak coverage center point position of the service cell corresponding to the weak coverage grid set, wherein the weak coverage sampling point is the number of MDT data sampling points of which the RSRP of the service cell is less than a first preset threshold value; and if the weak coverage grid set is greater than or equal to 3 grids, sequencing at least more grids in the weak coverage grid set according to the weak coverage sampling points, and determining the weak coverage center point position according to the positions of the first 3 grids in the sequence.

In an alternative way, the location acquisition unit 702 is further configured to: if the number of weak coverage sampling points of a first grid is less than or equal to 3 times of the number of weak coverage sampling points of a third grid, and the antenna position of the service cell is located outside a triangle formed according to the positions of the first 3 grids, the center of gravity of the triangle is located as the weak coverage center point position of the service cell, the first grid is the grid with the most weak coverage sampling points among the 3 grids, and the third grid is the grid with the least weak coverage sampling points among the 3 grids; otherwise, the center point position of the first grid is taken as the weak coverage center point position of the service cell.

In an alternative way, the target acquisition unit 703 is configured to: acquiring a connecting line of the weak coverage central point position and the antenna position of the at least one serving cell; and acquiring an included angle between the connecting line clockwise in the north direction and the target azimuth angle.

In an alternative way, the rationality evaluation unit 704 is configured to: comparing the target azimuth angle with the actual azimuth angle for any serving cell; if the deviation between the target azimuth angle and the actual azimuth angle is smaller than a preset difference value, determining that the actual azimuth angle of the serving cell is reasonable; if the deviation between the target azimuth angle and the actual azimuth angle exceeds the preset difference value, determining that the actual azimuth angle of the serving cell is unreasonable, and adjusting the actual azimuth angle to the target azimuth angle.

The embodiment of the invention provides a non-volatile computer storage medium, which stores at least one executable instruction, and the computer executable instruction can execute the method for evaluating the azimuth rationality of the cell antenna based on MDT data in any method embodiment.

The executable instructions may be particularly useful for causing a processor to:

obtaining MDT data of at least one service cell, and determining a weak coverage grid set in the at least one service cell according to the MDT data;

acquiring a weak coverage center point position of the at least one serving cell according to the weak coverage grid set;

determining a target azimuth angle of the at least one serving cell according to the weak coverage center point position and the antenna position of the at least one serving cell;

and evaluating the rationality of the actual azimuth angle of the at least one serving cell according to the target azimuth angle.

In an alternative manner, the MDT data includes at least: a time stamp, a serving cell ID, a terminal longitude, a terminal latitude, and a serving cell RSRP, the executable instructions causing the processor to:

counting the weak coverage proportion of cells of at least one serving cell according to the MDT data, wherein the weak coverage proportion of cells of any serving cell is the proportion of weak coverage sampling points in the serving cell, wherein the RSRP of the serving cell is smaller than a first preset threshold value;

Acquiring grid distribution of a geographic area where the at least one serving cell is located, and corresponding each MDT data to each grid according to the terminal longitude and the terminal latitude;

counting the weak coverage proportion of grids in each grid of the at least one serving cell, wherein the weak coverage proportion of the grids of any one grid is the proportion of weak coverage grids in the grids, wherein the RSRP of the serving cell is smaller than the first preset threshold;

and acquiring the weak coverage grid set according to the cell weak coverage proportion and the grid weak coverage proportion of the at least one service cell.

In one alternative, the executable instructions cause the processor to:

if the cell weak coverage proportion is larger than a first preset proportion, determining that the service cell corresponding to the cell weak coverage proportion is a weak coverage service cell;

and screening all grids with the grid weak coverage ratio larger than a second preset ratio for any weak coverage service cell to form the weak coverage grid set.

In one alternative, the executable instructions cause the processor to:

If the number of the grids in the weak coverage grid set is less than 3, taking the center point position of the grid with the maximum weak coverage sampling point as the weak coverage center point position of the service cell corresponding to the weak coverage grid set, wherein the weak coverage sampling point is the number of MDT data sampling points of which the RSRP of the service cell is less than a first preset threshold value;

and if the weak coverage grid set is greater than or equal to 3 grids, sequencing at least more grids in the weak coverage grid set according to the weak coverage sampling points, and determining the weak coverage center point position according to the positions of the first 3 grids in the sequence.

In one alternative, the executable instructions cause the processor to:

if the number of weak coverage sampling points of a first grid is less than or equal to 3 times of the number of weak coverage sampling points of a third grid, and the antenna position of the service cell is located outside a triangle formed according to the positions of the first 3 grids, the center of gravity of the triangle is located as the weak coverage center point position of the service cell, the first grid is the grid with the most weak coverage sampling points among the 3 grids, and the third grid is the grid with the least weak coverage sampling points among the 3 grids;

Otherwise, the center point position of the first grid is taken as the weak coverage center point position of the service cell.

In one alternative, the executable instructions cause the processor to:

acquiring a connecting line of the weak coverage central point position and the antenna position of the at least one serving cell;

and acquiring an included angle between the connecting line clockwise in the north direction and the target azimuth angle.

In one alternative, the executable instructions cause the processor to:

comparing the target azimuth angle with the actual azimuth angle for any serving cell;

if the deviation between the target azimuth angle and the actual azimuth angle is smaller than a preset difference value, determining that the actual azimuth angle of the serving cell is reasonable;

if the deviation between the target azimuth angle and the actual azimuth angle exceeds the preset difference value, determining that the actual azimuth angle of the serving cell is unreasonable, and adjusting the actual azimuth angle to the target azimuth angle.

An embodiment of the present invention provides a computer program product comprising a computer program stored on a computer storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method for evaluating cell antenna azimuth rationality based on MDT data in any of the method embodiments described above.

In one alternative, the executable instructions cause the processor to:

FIG. 8 is a schematic diagram of a computing device according to an embodiment of the present invention, and the embodiment of the present invention is not limited to the specific implementation of the device.

As shown in fig. 8, the computing device may include: a processor (processor) 802, a communication interface (Communications Interface) 804, a memory (memory) 806, and a communication bus 808.

Wherein: processor 802, communication interface 804, and memory 806 communicate with each other via a communication bus 808. A communication interface 804 for communicating with network elements of other devices, such as clients or other servers. The processor 802 is configured to execute the program 810, and may specifically perform relevant steps in the above-described embodiment of the method for evaluating the rationality of a cell antenna azimuth based on MDT data.

In particular, program 810 may include program code including computer operating instructions.

The processor 802 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The device includes one or each processor, which may be the same type of processor, such as one or each CPU; but may also be different types of processors such as one or each CPU and one or each ASIC.

Memory 806 for storing a program 810. The memory 806 may include high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 810 may be specifically operable to cause the processor 802 to:

In an alternative manner, the MDT data includes at least: the program 810 causes the processor to perform the following operations:

In an alternative, the program 810 causes the processor to:

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 a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood 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 above 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 disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim.

Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. 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. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units 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.

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 use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims

1. A method for evaluating the rationality of a cell antenna azimuth angle based on MDT data, the method comprising:

2. The method of claim 1, wherein the MDT data includes at least: a time stamp, a serving cell ID, a terminal longitude, a terminal latitude, and a serving cell RSRP, the determining a weak coverage grid set in the at least one serving cell from the MDT data comprising:

3. The method of claim 2, wherein the obtaining the set of weak coverage grids from the cell weak coverage fraction and the grid weak coverage fraction of the at least one serving cell comprises:

4. The method of claim 1, wherein the obtaining the weak coverage center point location of the at least one serving cell from the set of weak coverage grids comprises:

5. The method of claim 4, wherein said determining the weak coverage center point location from the locations of the top 3 grids comprises:

6. The method of claim 1, wherein the determining the target azimuth of the at least one serving cell from the weak coverage center point location and the antenna location of the at least one serving cell comprises:

7. The method of claim 1, wherein said evaluating the rationality of the actual azimuth of the at least one serving cell based on the target azimuth comprises:

8. A cell antenna azimuth rationality assessment device based on MDT data, the device comprising:

a weak coverage acquisition unit, configured to acquire MDT data of at least one serving cell, and determine a weak coverage grid set in the at least one serving cell according to the MDT data;

a position obtaining unit, configured to obtain a weak coverage center point position of the at least one serving cell according to the weak coverage grid set;

a target acquisition unit, configured to determine a target azimuth angle of the at least one serving cell according to the weak coverage center point position and an antenna position of the at least one serving cell;

and the rationality evaluation unit is used for evaluating the rationality of the actual azimuth angle of the at least one serving cell according to the target azimuth angle.

9. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

the memory is configured to hold at least one executable instruction that causes the processor to perform the steps of the MDT data based cell antenna azimuth rationality assessment method according to any one of claims 1-7.

10. A computer storage medium, wherein at least one executable instruction is stored in the storage medium, the executable instruction causing a processor to perform the steps of the MDT data based cell antenna azimuth rationality assessment method according to any one of claims 1-7.