CN109548041B - Wireless coverage analysis method and system - Google Patents

Wireless coverage analysis method and system Download PDF

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CN109548041B
CN109548041B CN201710864523.4A CN201710864523A CN109548041B CN 109548041 B CN109548041 B CN 109548041B CN 201710864523 A CN201710864523 A CN 201710864523A CN 109548041 B CN109548041 B CN 109548041B
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information
grid
target
grids
operator
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CN109548041A (en
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徐豫西
吴剑平
徐林忠
何亚溪
孙硕
赵晨辉
杨占军
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Zhejiang Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports

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  • Computer Networks & Wireless Communication (AREA)
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  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a wireless coverage analysis method and a wireless coverage analysis system, wherein the method comprises the following steps: s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals; s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid; s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids. According to the wireless coverage analysis method and system provided by the invention, the problem grids with poor wireless coverage are determined based on the rasterized MR data, and the problem grids are clustered into clusters, so that the problem areas with poor wireless coverage and the geographic distribution condition can be accurately reflected.

Description

Wireless coverage analysis method and system
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a method and a system for wireless coverage analysis.
Background
The wireless coverage is the core competitiveness of telecommunication operators, in order to solve the coverage conditions of the self and competitors and know the self and competitors, except for the traditional DT Test, the frequency points of the competitors' operators are configured in the periodic Measurement Report (MR) data reported by users, and the configured frequency points are measured and reported by the mobile phone communicated with the whole network, so that the coverage conditions of the self and the competitors at the same position can be obtained.
In the prior art, statistical analysis is directly performed by using cell-level dimensions to obtain data such as average coverage rsrp (reference Signal Receiving power) and weak coverage ratio of each cell and competitors. However, if the statistical analysis is performed in the cell-level dimension in the prior art, it is only possible to determine which cell has a problem of poor wireless coverage, and it is not possible to determine a specific location of poor wireless coverage and a geographical distribution of poor wireless coverage.
Disclosure of Invention
The present invention provides a method of radio coverage analysis that overcomes or at least partially solves the above mentioned problems, comprising:
s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals;
s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid;
s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
Before step S1, the method further includes:
and configuring target frequency points in all the reporting terminals to acquire the MR information of the target frequency points.
Wherein, step S1 includes:
acquiring MR information of all the reported terminals, wherein the MR information comprises longitude and latitude information;
and determining the grids where the reporting terminals are located based on the divided grids and the longitude and latitude information in the geographic information system so as to acquire the MR information of each grid.
Wherein the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first preset threshold and a second preset threshold, and step S2 includes:
for any grid, when the average RSRP information is lower than a first preset threshold, and/or
And when the coverage rate information is lower than a second preset threshold value, determining the grid as the target grid.
Wherein the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first threshold and a second threshold, the target frequency points include a first operator frequency point and a second operator frequency point, and step S2 includes:
for any grid, when the average RSRP information of the frequency points of the first operator is lower than the lower limit of the first threshold value and the average RSRP information of the frequency points of the second operator is higher than the upper limit of the first threshold value, and/or
And when the coverage rate information of the frequency points of the first operator is lower than the upper limit of the second threshold value and higher than the lower limit of the second threshold value and the coverage rate information of the second operator is higher than the upper limit of the second threshold value, determining the grid as the target grid.
Wherein, step S3 includes:
counting the number of the target grids in a target area determined by a preset clustering radius by taking any one target grid as a circle center;
and if the number of the target grids exceeds a clustering threshold, plotting the vertex of the target grids in the target area to form an envelope so as to obtain a target cluster.
Wherein after step S3, the method further comprises:
acquiring the number of sampling points of the target cluster in each cell;
and selecting a preset number of cells from the cells with the highest sampling point number to perform wireless coverage analysis.
According to a second aspect of the present invention, there is provided a wireless coverage analysis system, comprising:
the acquisition module is used for acquiring MR information of each grid based on the divided grids in the geographic information system and the measurement report MR information of all reporting terminals;
a determining module, configured to determine, based on the MR information of the respective grids, a plurality of target grids with wireless coverage lower than a preset threshold;
and the analysis module is used for clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
According to a third aspect of the present invention, there is provided a computer program product comprising program code for performing the above-described radio coverage analysis method.
According to a fourth aspect of the invention, there is provided a non-transitory computer readable storage medium storing the computer program as described above.
According to the wireless coverage analysis method and system provided by the invention, the problem grids with poor wireless coverage are determined based on the rasterized MR data, and the problem grids are clustered into clusters, so that the problem areas with poor wireless coverage and the geographic distribution condition can be accurately reflected.
Drawings
Fig. 1 is a flowchart of a wireless coverage analysis method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a maximum pts value corresponding to an eps value of 1 to 5 according to an embodiment of the present invention;
fig. 3 is a block diagram of a wireless coverage analysis system according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Fig. 1 is a flowchart of a method for analyzing wireless coverage according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals;
s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid;
s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
In the prior art, a traditional data processing means can only perform statistical analysis on collected MR data from a cell level dimension to obtain average coverage RSRP, weak coverage ratio and the like of each cell and a competitor, but does not know the distribution condition of specific coverage problem points and cannot provide a targeted solution for the problem points.
In recent years, with the rise of the LTE user MR positioning technology and the improvement of positioning accuracy, position information can be given to each MR reported by a user, then rasterization index aggregation is performed in a square, for example, 50 × 50 meters and 10 × 10 meters, and then correlation presentation is performed with a map, so that the dimension of problem analysis is greatly enriched.
However, the problem grids filtered out after MR positioning are generally scattered, and it is difficult to uniformly analyze the problem grids in units of grids.
In view of the problems in the prior art, embodiments of the present invention provide a wireless coverage analysis method, which clusters grids into clusters through a density clustering algorithm, and aggregates all problem grid indexes in a cluster to obtain coverage related indexes of a problem cluster, so as to visually analyze and obtain a geographical information distribution situation with problems and a specific distribution location with poor wireless coverage.
In S1, the Geographic Information System is a conventional Geographic Information System, GIS, which can clearly display the Geographic Information environment and map Information. The divided grids in the geographic information system refer to a plurality of grids divided in the GIS system according to a preset division scale.
Generally, 50m × 50m is an area of one grid, but the embodiment of the present invention does not limit the specific division precision of the grid.
The MR information is a terminal measurement report uploaded by a user terminal, the MR information is a positioning fingerprint database training and application system based on MRO and OTT data, a perfect and effective mobile terminal user positioning fingerprint database is constructed by utilizing a scientific data preprocessing method, a complete parameter statistical method and a sampling distribution theory, and a fingerprint database training process and an input variable acquisition, transmission and processing process are deployed on a specific device, so that the acquisition of real-time and non-real-time positions of a user is ensured, and the positioning precision of the mobile terminal user is greatly improved.
The MR information mainly comprises longitude and latitude information of the user terminal and RSRP data of the terminal. MR information in each grid can be analyzed based on MR information reported by a terminal, and the MR information in each grid comprises grid vertex longitude and latitude coordinates, average RSRP, sampling point number, coverage rate and other information.
It should be noted that the MR information provided by the embodiment of the present invention is generally directed to a single telecommunication operator, and if the MR information is directed to multiple telecommunication operators, indexes such as the average RSRP of competitors, the number of sampling points of competitors, and the coverage of competitors of each grid need to be obtained at the same time, where the competitors are other telecommunication operators with service overlapping.
In S2, the wireless coverage refers to a wireless coverage condition of a grid, and generally two-dimensional indicators are used for determination, that is, a grid average RSRP and a grid coverage rate, the preset threshold is a determination threshold for determining the division of the indicator, it should be noted that different determination thresholds are used for a plurality of determination criteria, and the determination threshold may be a numerical threshold or a threshold.
In S2, the target grid is a grid with poor wireless coverage screened by the preset threshold, and it is understood that the poor wireless coverage may be determined by comparing with other grids or by comparing with a competitor on the same grid.
In S3, the density clustering algorithm is a preset (eps, pts) algorithm, the eps is a preset clustering range, and the pts is a preset clustering number.
It can be understood that, when clustering is performed on the target grids, the parameters of eps and pts are preset, and then a user searches whether the number of the target grids exceeds the value of pts in the range determined by eps, and if the number of the target grids exceeds the value of pts, the target grids in the range are clustered into a target cluster, so that the dimension of the target cluster is analyzed.
The target cluster, i.e. the contiguous area of the target grids with poor wireless coverage after the completion of clustering, may also be referred to as a problem cluster.
Preferably, the target clusters are presented on the webpage in a physicochemical manner, the reason of the coverage disadvantage can be analyzed more intuitively by combining with the background geomorphic image layer, and a detailed list of a KML (Keyhole Markup Language) image layer and the problem clusters can be derived, so that the offline analysis can be performed conveniently.
According to the wireless coverage analysis method and system provided by the invention, the problem grids with poor wireless coverage are determined based on the rasterized MR data, and the problem grids are clustered into clusters, so that the problem areas with poor wireless coverage and the geographic distribution condition can be accurately reflected.
On the basis of the above embodiment, the method before step S1 further includes:
and configuring target frequency points in all the reporting terminals to acquire the MR information of the target frequency points.
It can be understood that the wireless coverage analysis method provided by the embodiment of the present invention may analyze the coverage condition of itself, and may also analyze the coverage condition of a competitor.
If the wireless coverage condition of the competitor needs to be analyzed, the frequency point of the corresponding competitor needs to be configured to obtain the MR information reported by the frequency band of the competitor.
It can be understood that different telecommunication operators adopt different frequency bands, but the frequency bands adopted by the telecommunication operators are known, and if corresponding terminal skills are used to configure corresponding target frequency points, the MR information of the target frequency points is acquired.
And if the coverage condition of the target frequency point is analyzed, the target frequency point is the frequency point of the telecom operator to which the target frequency point belongs.
It can be understood that the larger the MR data volume reported by the terminal is, the more complete the competitor information is, and the more convenient the subsequent analysis is.
On the basis of the above embodiment, step S1 includes:
acquiring MR information of all the reported terminals, wherein the MR information comprises longitude and latitude information;
and determining the grids where the reporting terminals are located based on the divided grids and the longitude and latitude information in the geographic information system so as to acquire the MR information of each grid.
In the prior art, the method is directly based on MR positioning data scanning, and the MR base number is far larger than the grid, so that the calculated amount is large, and the load and the running time of a positioning system are increased unnecessarily; and the correlation information is too divergent directly based on each MR sampling point, and further analysis is difficult to effectively develop.
In view of the problems in the prior art, the embodiment of the present invention performs rasterization on the map, so as to effectively smooth the original MR positioning data and obtain better accuracy and feasibility.
The embodiment of the invention firstly determines the grid position of the reporting terminal according to longitude and latitude information contained in the reported MR information.
The grid is a preset grid which is already divided in the GIS system, so that each reporting terminal can be positioned in each preset grid, and the MR data of the reporting terminal contained in each grid is used as the MR data of each grid.
It can be understood that MR information of each grid can be obtained by performing certain processing and statistics on the MR data of each grid.
The method is directly based on MR positioning data scanning, and because the MR base number is far larger than a grid, the calculation amount is large, and the load and the running time of a positioning system are increased unnecessarily; on the other hand, directly based on each MR sampling point, the correlation information is too divergent to effectively develop further analysis, and similar situations can occur in fact with a too small grid. Rasterization processing with reasonable size effectively smoothes the original MR positioning data, and obtains better accuracy and feasibility.
On the basis of the foregoing embodiment, the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, and the preset threshold includes a first preset threshold and a second preset threshold, step S2 includes:
for any grid, when the average RSRP information is lower than a first preset threshold, and/or
And when the coverage rate information is lower than a second preset threshold value, determining the grid as the target grid.
It is understood that the commonly used indicators for analyzing the wireless coverage condition are the grid average RSRP and the grid coverage rate, and then for any grid, the embodiment of the present invention sets a first preset threshold value for distinguishing the grid average RSRP indicator and a second preset threshold value for distinguishing the grid coverage rate.
Preferably, the embodiment of the present invention may determine the radio coverage condition through a single condition when the average RSRP information is lower than a first preset threshold or when the coverage rate information is lower than a second preset threshold, or may determine the radio coverage condition through a condition that both indicators are satisfied when the average RSRP information is lower than the first preset threshold and when the coverage rate information is lower than the second preset threshold.
It is to be understood that the first preset threshold and the second preset threshold are set according to historical experience, and the embodiment of the present invention is not limited thereto.
The PSRP index is the reference signal received power, is one of the key parameters that can represent the radio signal strength in the LTE network and the physical layer measurement requirement, and is the average value of the received signal powers on all REs (resource elements) that carry reference signals within a certain symbol. Generally, the index can be used to reflect the radio coverage strength, and a higher index means that the radio coverage strength of the area is higher.
The coverage rate is the signal ratio exceeding-110 dbm, namely, if the coverage rate exceeds-110 dbm, the coverage rate can be considered to be covered, and if the coverage rate does not reach the value, the non-coverage is judged, so that the coverage rate in the area is calculated.
On the basis of the above embodiment, the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first threshold and a second threshold, the target frequency point includes a first operator frequency point and a second operator frequency point, and step S2 includes:
for any grid, when the average RSRP information of the frequency points of the first operator is lower than the lower limit of the first threshold value and the average RSRP information of the frequency points of the second operator is higher than the upper limit of the first threshold value, and/or
And when the coverage rate information of the frequency points of the first operator is lower than the upper limit of the second threshold value and higher than the lower limit of the second threshold value and the coverage rate information of the second operator is higher than the upper limit of the second threshold value, determining the grid as the target grid.
The first operator is a telecommunications operator to which the embodiment of the present invention belongs, the second operator is a telecommunications operator of a competitor of the embodiment of the present invention, and the second operator may be one of telecommunications operators of any competitor.
It can be understood that, when the scheme provided by the embodiment of the present invention is directed to a comparative analysis of wireless coverage with a competitor, the preset threshold is a threshold, which includes a first threshold and a second threshold.
In the embodiment of the present invention, the first threshold is defined as < R, R1>, and for any one of the grids, if RSRP of the first operator < R and RSRP of the second operator > R1, and/or the second threshold is defined as < C, a >, and if coverage of the first operator > C but coverage of the second operator > a, the grid is determined to be the target grid.
On the basis of the above embodiment, step S3 includes:
counting the number of the target grids in a target area determined by a preset clustering radius by taking any one target grid as a circle center;
and if the number of the target grids exceeds a clustering threshold, plotting the vertex of the target grids in the target area to form an envelope so as to obtain a target cluster.
In the embodiment of the present invention, one problem grid is selected as a circle center, and the problem grids are clustered by using a density clustering algorithm, so as to obtain a target cluster, where the target cluster includes multiple problem grids.
Specifically, in the embodiment of the present invention, a target grid is randomly selected from the target grids, the number of the target grids is queried within a certain distance range with the target grid as a center point, if the number of the surrounding target grids is greater than a preset clustering threshold, the target grid is defined as the center point, and the rest target grids within the range are edge points. And drawing envelopes using the vertex coordinates of the center point target grid and the edge point target grid, the envelopes being referred to as target clusters.
The certain distance range is the eps value preset in the embodiment of the invention, and the clustering threshold is the pts value preset in the embodiment of the invention.
Fig. 2 is a schematic diagram of a maximum pts value corresponding to an eps value of 1 to 5 according to an embodiment of the present invention, and as shown in fig. 2, when a grid with a serial number of 1 is taken as a center point, and the eps value is 1, the maximum pts value is 5, that is, a maximum of 5 target grids, which are 1, 2, 3, 4, and 5, are included in a determined area. Similarly, if the eps value is 2, the maximum pts value is 13, that is, a maximum of 13 target grids are included in the determined area, and so on.
Generally, the eps value is determined to be 5 at most, and if the eps value is further increased, the data is greatly redundant and is inconvenient to analyze.
On the basis of the above embodiment, after step S3, the method further includes:
acquiring the number of sampling points of the target cluster in each cell;
and selecting a preset number of cells from the cells with the highest sampling point number to perform wireless coverage analysis.
It can be understood that the prior art cannot relate the wireless coverage between the grid and the cell, and if only the cell level analysis is performed, the specific location cannot be determined, and if only the grid level analysis is performed, the obtained information is too scattered and has no coherence.
In view of the problems in the prior art, the scheme provided by the embodiment of the invention selects the preset number of cells with the largest number of sampling points by acquiring the number of sampling points of the target cluster in the cell and sorting according to the size of the number of sampling points, thereby getting through the grid dimension and the obstacles existing before the cell dimension and enabling the analysis to be performed according to the cluster dimension.
Specifically, the target cluster contour is used for reversely drawing the contours of all grids, and the proportion of the problem grids in the whole target cluster is analyzed according to the contours; meanwhile, the information of 5 cells with the largest number of sampling points of the problem cluster can be associated according to the distribution situation of the number of the sampling points of the target cluster in each cell, which is generated by carrying out grid dimension aggregation by using MR information.
Wherein, the 5 cells are the preferable scheme of the embodiment of the present invention.
According to the embodiment of the invention, grids are clustered into clusters, so that two different dimensions of a grid level and a cell level are opened, and correlation analysis and output of problem point processing priority are realized.
Fig. 3 is a block diagram of a wireless coverage analysis system according to an embodiment of the present invention, and as shown in fig. 3, the system includes: the device comprises an acquisition module 1, a determination module 2 and an analysis module 3, wherein:
the acquisition module 1 is used for acquiring MR information of each grid based on the divided grids in the geographic information system and the measurement report MR information of all reporting terminals;
the determining module 2 is configured to determine, based on the MR information of the respective grids, a plurality of target grids with wireless coverage lower than a preset threshold;
the analysis module 3 is configured to cluster the plurality of target grids into a target cluster based on a density clustering algorithm, where the target cluster is an envelope region defined by the plurality of target grids.
Specifically, the acquisition module 1 gathers MR information of each grid, acquires basic MR information of each grid, and can also acquire MR information of a competitor, the determination module 2 determines a target grid with poor wireless coverage according to the MR information provided by the acquisition module 1 and by referring to a preset discrimination threshold, and the analysis module 3 clusters the target grids into clusters, so that two different dimensions of a grid level and a cell level are opened by a cluster dimension, and correlation analysis and output of problem point processing priority are realized.
According to the wireless coverage analysis system provided by the invention, the acquisition module determines the problem grids with poor wireless coverage through the rasterization-based MR data, and clusters the problem grids into clusters, so that the analysis module can accurately reflect the problem areas with poor wireless coverage and the geographical distribution condition.
An embodiment of the present invention provides a wireless coverage analysis system, including: at least one processor; and at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor calls the program instructions to perform the methods provided by the method embodiments, for example, including: s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals; s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid; s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising: s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals; s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid; s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals; s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid; s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
In the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" means two or more unless expressly limited otherwise.
Finally, the method of the present application is only a preferred embodiment and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. A wireless coverage analysis method, comprising:
s1, acquiring MR information of each grid based on the divided grids in the geographic information system and the MR information of the measurement reports of all reporting terminals;
s2, determining a plurality of target grids with wireless coverage lower than a preset threshold value based on the MR information of each grid;
s3, clustering the target grids into target clusters based on a density clustering algorithm, wherein the target clusters are envelope areas defined by the target grids;
the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, and the preset threshold includes a first preset threshold and a second preset threshold, step S2 includes:
for any grid, when the average RSRP information is lower than a first preset threshold, and/or
When the coverage rate information is lower than a second preset threshold value, determining the grid as the target grid;
before step S1, the method further includes:
configuring target frequency points in all the reporting terminals to acquire MR information of the target frequency points;
the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first threshold and a second threshold, the target frequency point includes a first operator frequency point and a second operator frequency point, and step S2 includes:
for any grid, when the average RSRP information of the frequency points of the first operator is lower than the lower limit of the first threshold value and the average RSRP information of the frequency points of the second operator is higher than the upper limit of the first threshold value, and/or
And when the coverage rate information of the frequency points of the first operator is lower than the upper limit of the second threshold value and higher than the lower limit of the second threshold value and the coverage rate information of the second operator is higher than the upper limit of the second threshold value, determining the grid as the target grid.
2. The method according to claim 1, wherein step S1 includes:
acquiring MR information of all the reported terminals, wherein the MR information comprises longitude and latitude information;
and determining the grids where the reporting terminals are located based on the divided grids and the longitude and latitude information in the geographic information system so as to acquire the MR information of each grid.
3. The method according to claim 1, wherein step S3 includes:
counting the number of the target grids in a target area determined by a preset clustering radius by taking any one target grid as a circle center;
and if the number of the target grids exceeds a clustering threshold, plotting the vertex of the target grids in the target area to form an envelope so as to obtain a target cluster.
4. The method according to claim 1, wherein after step S3, the method further comprises:
acquiring the number of sampling points of the target cluster in each cell;
and selecting a preset number of cells from the cells with the highest sampling point number to perform wireless coverage analysis.
5. A wireless coverage analysis system, comprising:
the acquisition module is used for acquiring MR information of each grid based on the divided grids in the geographic information system and the measurement report MR information of all reporting terminals;
a determining module, configured to determine, based on the MR information of the respective grids, a plurality of target grids with wireless coverage lower than a preset threshold;
the analysis module is used for clustering the target grids into target clusters based on a density clustering algorithm, and the target clusters are envelope areas defined by the target grids;
the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first preset threshold and a second preset threshold, and the determining module is specifically configured to:
for any grid, when the average RSRP information is lower than a first preset threshold, and/or
When the coverage rate information is lower than a second preset threshold value, determining the grid as the target grid;
the acquisition module is further configured to:
configuring target frequency points in all reporting terminals to acquire MR information of the target frequency points before acquiring the MR information of each grid based on the divided grids in the geographic information system and the measurement report MR information of all the reporting terminals;
the MR information of each grid includes average RSRP information of each grid and coverage information of each grid, the preset threshold includes a first threshold and a second threshold, the target frequency point includes a first operator frequency point and a second operator frequency point, and the determining module is specifically configured to:
for any grid, when the average RSRP information of the frequency points of the first operator is lower than the lower limit of the first threshold value and the average RSRP information of the frequency points of the second operator is higher than the upper limit of the first threshold value, and/or
And when the coverage rate information of the frequency points of the first operator is lower than the upper limit of the second threshold value and higher than the lower limit of the second threshold value and the coverage rate information of the second operator is higher than the upper limit of the second threshold value, determining the grid as the target grid.
6. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 4.
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Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111935772B (en) * 2019-04-28 2023-08-22 中国移动通信集团河南有限公司 Method and device for determining value of service area
CN112199453A (en) * 2019-07-08 2021-01-08 中国移动通信集团浙江有限公司 Traffic hot spot clustering method, device, equipment and computer storage medium
CN112351435B (en) * 2019-08-08 2022-09-23 中国电信股份有限公司 Method and device for evaluating different network coverage based on network positioning
CN112887910B (en) * 2019-11-29 2023-03-28 中国电信股份有限公司 Method and device for determining abnormal coverage area and computer readable storage medium
CN113068194B (en) * 2020-01-02 2022-11-08 中国移动通信集团北京有限公司 Method, device, equipment and medium for determining anchor point
CN113141570B (en) * 2020-01-17 2023-04-28 中国移动通信集团陕西有限公司 Underground scene positioning method, device, computing equipment and computer storage medium
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CN111861843A (en) * 2020-07-30 2020-10-30 长沙阡陌交通规划设计有限公司 Traffic reachability-based coverage facility blind area searching method and device
CN114205862A (en) * 2020-09-17 2022-03-18 中国电信股份有限公司 Method and device for cleaning abnormal data of measurement report
CN114339843B (en) * 2020-09-27 2023-08-15 中国移动通信集团浙江有限公司 Anchor point problem identification method and device based on network coverage
CN114339780B (en) * 2020-09-30 2023-11-03 上海华为技术有限公司 Site coverage prediction method and related equipment
CN112203317B (en) * 2020-10-20 2022-04-08 中国联合网络通信集团有限公司 Network coverage analysis method and device
CN114615670B (en) * 2020-12-09 2023-11-10 中国联合网络通信集团有限公司 Evaluation method and device
CN115086970A (en) * 2021-03-11 2022-09-20 中国电信股份有限公司 Measurement data analysis method, measurement data analysis device, measurement data analysis medium, and electronic device
CN115243300B (en) * 2021-04-23 2024-04-19 中国移动通信集团四川有限公司 Network feature image generation method and device and electronic equipment
CN114786199A (en) * 2022-04-21 2022-07-22 中国联合网络通信集团有限公司 Method, device, equipment and storage medium for determining network problem point

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457853A (en) * 2010-10-25 2012-05-16 中国移动通信集团广东有限公司 Method and device capable of dividing cell clusters
EP2785098A1 (en) * 2011-11-25 2014-10-01 Huawei Technologies Co., Ltd. Network problem positioning method and device based on user perception
WO2015181778A1 (en) * 2014-05-29 2015-12-03 Telefonaktiebolaget L M Ericsson (Publ) Power control for mitigating device-to-device interference to adjacent networks
CN105228242A (en) * 2014-05-26 2016-01-06 中国移动通信集团公司 The localization method of weak overlay area and device
CN106686611A (en) * 2015-11-06 2017-05-17 中国移动通信集团设计院有限公司 Method and device for evaluating indoor weak coverage area
CN106804042A (en) * 2016-12-23 2017-06-06 普天信息工程设计服务有限公司 The clustering method in weak covering problem region and Bus stop planning method
CN106879017A (en) * 2015-12-11 2017-06-20 亿阳信通股份有限公司 A kind of decision method and device of LTE network covering quality
CN106937292A (en) * 2015-12-31 2017-07-07 亿阳信通股份有限公司 A kind of grid division method and device
CN106973406A (en) * 2016-01-13 2017-07-21 亿阳信通股份有限公司 A kind of weak overlay area detection method and system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10009819B2 (en) * 2012-11-02 2018-06-26 Apple Inc. Network cell transitions for VoLTE devices at call initiation
CN106060838B (en) * 2016-06-28 2019-07-26 中国联合网络通信集团有限公司 Base station expansion method and system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457853A (en) * 2010-10-25 2012-05-16 中国移动通信集团广东有限公司 Method and device capable of dividing cell clusters
EP2785098A1 (en) * 2011-11-25 2014-10-01 Huawei Technologies Co., Ltd. Network problem positioning method and device based on user perception
CN105228242A (en) * 2014-05-26 2016-01-06 中国移动通信集团公司 The localization method of weak overlay area and device
WO2015181778A1 (en) * 2014-05-29 2015-12-03 Telefonaktiebolaget L M Ericsson (Publ) Power control for mitigating device-to-device interference to adjacent networks
CN106686611A (en) * 2015-11-06 2017-05-17 中国移动通信集团设计院有限公司 Method and device for evaluating indoor weak coverage area
CN106879017A (en) * 2015-12-11 2017-06-20 亿阳信通股份有限公司 A kind of decision method and device of LTE network covering quality
CN106937292A (en) * 2015-12-31 2017-07-07 亿阳信通股份有限公司 A kind of grid division method and device
CN106973406A (en) * 2016-01-13 2017-07-21 亿阳信通股份有限公司 A kind of weak overlay area detection method and system
CN106804042A (en) * 2016-12-23 2017-06-06 普天信息工程设计服务有限公司 The clustering method in weak covering problem region and Bus stop planning method

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