CN111556524B - Network coverage degradation evaluation method, system, device and medium - Google Patents
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Abstract
The invention discloses a network coverage degradation evaluation method, a system, a device and a medium, wherein the method comprises the following steps: acquiring initial MDT measurement data; performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map; acquiring a real or simulated quit service base station list; removing MDT measurement data of the out-of-service base station to obtain target MDT measurement data; performing second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map; and comparing the first grid wireless network coverage intensity rendering graph with the second grid wireless network coverage intensity rendering graph to determine a network coverage degradation evaluation result. The invention fully utilizes MDT measurement data to evaluate the network coverage degradation, improves the evaluation efficiency and accuracy, and can be widely applied to the technical field of communication networks.
Description
Technical Field
The present invention relates to the field of communications network technologies, and in particular, to a method, a system, a device, and a medium for evaluating network coverage degradation.
Background
4G wireless base station equipment is a very important node of a network, and abnormal quit of base station operation or station displacement can directly affect the quality of the wireless network and cause deterioration of user perception. In the natural disaster scenes of station displacement, base station failure, typhoon, heavy rain and the like, the condition of base station retreat occurs, and great influence is caused on the wireless network coverage. The operator often has limited resources in the communication emergency repair work, and needs to estimate the affected range, the affected degree and the economic loss in advance, so as to guide the priority of the communication emergency repair work. Therefore, how to determine the area with priority guarantee and how to evaluate the degree of wireless network coverage degradation caused by the withdrawal of the base station are urgent requirements for operation and maintenance of the operator network, and a decision maker needs to quickly make base station maintenance and accurate scheduling of resources based on the evaluation result.
The MDT data is data which is measured and reported by an operator through a commercial terminal of a signed user and comprises position positioning information, cleaning processing is carried out after the MDT data is collected, and geographical rasterization clustering is carried out on the position information of the user. The MDT has large data quantity and high accuracy, so that the MDT can replace most conventional on-site manual test and evaluation means, and has great application value in the field of wireless communication.
Disclosure of Invention
In view of the above, embodiments of the present invention provide an efficient and accurate method, system, device and medium for evaluating network coverage degradation.
A first aspect of the present invention provides a network coverage degradation evaluation method, including:
acquiring initial MDT measurement data;
performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
acquiring a real or simulated quit service base station list;
removing the MDT measurement data of the quit-service base station to obtain target MDT measurement data;
performing second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
and comparing the first grid wireless network coverage intensity rendering graph with the second grid wireless network coverage intensity rendering graph to determine a network coverage degradation evaluation result.
Further, the performing a first geographical rasterization process on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map includes:
determining a geographical area range;
determining the size and granularity of the grid according to the geographic area range based on a preset calculation precision requirement;
performing grid division on the geographic area range according to the size granularity of the grid to obtain a plurality of geographic grids;
uniquely identifying each geographic grid;
matching the initial MDT measurement data with the identified geographic grid;
and rendering the wireless network coverage intensity level value of each matched geographic grid to obtain a first grid wireless network coverage intensity rendering graph.
Further, before the step of performing wireless network coverage intensity level value rendering on each well-matched geographic grid to obtain a first grid wireless network coverage intensity rendering map, the method further includes:
determining an RSRP data mean of coverage strength levels in a plurality of coverage cell MDT measurement data in a geographic grid;
and determining the RSRP value of the geographic grid according to the RSRP data mean value.
Further, the matching the initial MDT measurement data with the identified geographic grid includes:
and matching the user position corresponding to the initial MDT measurement data to a geographical grid according to the longitude and latitude information of the initial MDT measurement data.
Further, the comparing the first grid wireless network coverage intensity rendering map and the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result includes:
calculating an RSRP variation value for the coverage strength level of each geographic grid;
when the RSRP value before the base station quits service is larger than or equal to a first threshold value and the RSRP value after the base station quits service is smaller than or equal to a second threshold value, determining that the evaluation result of the network coverage is seriously degraded;
when the RSRP value before the base station quits is larger than a second threshold and smaller than a first threshold, and the RSRP value after the base station quits is smaller than or equal to the second threshold, determining that the evaluation result of the network coverage is moderate degradation;
when the RSRP value before the base station quits is larger than or equal to a first threshold value, and the RSRP value after the base station quits is smaller than the first threshold value and larger than a second threshold value, determining that the evaluation result of the network coverage is light degradation;
and when the RSRP value after the base station is out of service is larger than the first threshold, determining that the network coverage evaluation result is that no degradation exists.
According to a second aspect of the embodiments of the present invention, there is also provided a network coverage degradation evaluation system, including:
the first acquisition module is used for acquiring initial MDT measurement data;
the first rasterization processing module is used for performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
the second acquisition module is used for acquiring a real or simulated quit service base station list;
the rejecting module is used for rejecting the MDT measurement data of the out-of-service base station to obtain target MDT measurement data;
the second rasterization processing module is used for performing second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
and the comparison evaluation module is used for comparing the first grid wireless network coverage intensity rendering map with the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result.
Further, the performing a first geographical rasterization process on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map includes:
the first determination unit is used for determining a geographic area range;
the second determining unit is used for determining the size and granularity of the grid according to the geographic area range based on a preset calculation precision requirement;
the dividing unit is used for carrying out grid division on the geographic area range according to the size granularity of the grids to obtain a plurality of geographic grids;
the identification unit is used for carrying out unique identification on each geographic grid;
a matching unit for matching the initial MDT measurement data with the identified geographical grid;
and the rendering unit is used for rendering the wireless network coverage intensity level value of each matched geographic grid to obtain a first grid wireless network coverage intensity rendering graph.
Further, the comparing the first grid wireless network coverage intensity rendering map and the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result includes:
a calculation unit for calculating RSRP variation values of the coverage strength levels of each geographical grid;
the first evaluation unit is used for determining that the evaluation result of the network coverage is seriously degraded when the RSRP value before the base station quits service is greater than or equal to a first threshold value and the RSRP value after the base station quits service is less than or equal to a second threshold value;
a second evaluation unit, configured to determine that an evaluation result of network coverage is moderate degradation when an RSRP value before a base station is taken back of service is greater than a second threshold and smaller than the first threshold, and the RSRP value after the base station is taken back of service is smaller than or equal to the second threshold;
a third evaluation unit, configured to determine that an evaluation result of network coverage is light degradation when an RSRP value before a base station is taken back of service is greater than or equal to a first threshold, and the RSRP value after the base station is taken back of service is smaller than the first threshold and larger than a second threshold;
and the fourth evaluation unit is used for determining that the evaluation result of the network coverage is no degradation when the RSRP value after the base station is out of service is larger than the first threshold.
According to a third aspect of embodiments of the present invention, there is provided an apparatus comprising a processor and a memory;
the memory is used for storing programs;
the processor is adapted to perform the method according to the first aspect of the invention according to the program.
According to a fourth aspect of embodiments of the present invention, there is provided a computer-readable storage medium storing a program which is executed by a processor to perform the method according to the first aspect of the present invention.
One or more of the above-described embodiments of the present invention have the following advantages: the embodiment of the invention firstly obtains MDT measurement data, and compares a first grid wireless network coverage intensity rendering graph and a second grid wireless network coverage intensity rendering graph after the first grid wireless network coverage intensity rendering graph and the second grid wireless network coverage intensity rendering graph are generated, so as to determine a network coverage degradation evaluation result. The invention fully utilizes MDT measurement data to evaluate the network coverage degradation, the longitude and latitude information of the mobile phone user contained in the MDT measurement data is accurate and reliable, the global and geographical grid-level coverage positioning analysis can be realized, and compared with the manual test evaluation in the prior art, the invention improves the evaluation efficiency and accuracy.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart illustrating the overall steps of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a zone-to-grid system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a geographic grid marker of an embodiment of the present invention;
fig. 4 is a schematic diagram of a removing process of a fallback base station according to an embodiment of the present invention.
Detailed Description
The invention will be further explained and explained with reference to the drawings and the embodiments in the description. The step numbers in the embodiments of the present invention are set for convenience of illustration only, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.
Referring to fig. 1, fig. 1 is a flowchart illustrating overall steps of a network coverage degradation evaluation method according to an embodiment of the present invention, including:
s1, acquiring initial MDT measurement data;
specifically, in some embodiments, the source of the MDT measurement data may be directly output from an ftp server of the operator OMC, and an original file is generated, parsed and stored, which is not described herein again.
S2, performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
specifically, the step S2 includes:
s21, determining a geographical area range;
s22, determining the size and granularity of the grid according to the geographical region range based on a preset calculation precision requirement;
s23, performing grid division on the geographic region range according to the size granularity of the grids to obtain a plurality of geographic grids;
s24, carrying out unique ID identification on each geographic grid;
s25, matching the initial MDT measurement data with the identified geographic grids;
and S26, performing wireless network coverage intensity level value rendering on each matched geographical grid to obtain a first grid wireless network coverage intensity rendering graph.
The rasterization presentation of the acquired raw MDT data includes assigning a unique identification ID to each geographic grid, assigning values to each grid (coverage strength RSRP values reported by measurement in the grid), and then performing color rendering and geography presentation on grid values.
The geographic grid size may be: the method is characterized in that the method comprises the following steps of 10 meters by 10 meters, 50 meters by 50 meters, 100 meters by 100 meters, \ 8230 \ 8230;, and can be set according to the calculation precision requirement of a user. The smaller the geographical grid, the higher the positioning accuracy, but the larger the data amount of the geographical processing, the larger the computer processing load.
RSRP, namely Reference Signal Receiving Power, namely a user mobile phone Signal strength value.
This embodiment takes a grid precision of 10 meters by 10 meters as an example:
firstly, setting a geographical area range, and determining an analysis range, that is, determining the longitude and latitude of the positions of the upper left point and the lower right point of the rasterized area, as shown in fig. 2, a rectangular area 201 can be formed geographically by the positions of the two points, and meanwhile, the maximum value and the minimum value of the longitude and the latitude which need to be rasterized are also obtained.
Secondly, determining the size and granularity of the grid: the present embodiment can set grids with different granularity according to different requirements, taking 10 meters by 10 meters as an example, so the calculation step length is 10 meters, and geographically north and south directions are 0.00008983152841195214 degrees per 10 meters, and east and west directions are 0.000094057174407729 degrees.
Thirdly, dividing and calculating the grids: setting the longitude and latitude of the upper left point as (min _ lon, max _ lat), setting the longitude and latitude of the lower right point as (max _ lon, min _ lat), and performing accumulation calculation according to the longitude step of 10 meters set by the step 2) by the longitude of the upper left point to obtain the minimum longitude min _ grid _ lon = min _ lon +0.00009405717451407729 n (n =1,2,3 8230), wherein the maximum longitude max _ grid _ lon = min _ lon + 0.000094057174407729 (n + 1) (n =1,2,3 8230; and the calculation is stopped when the max _ grid _ lon > = max _ lon. Similarly, the latitude of the upper left point and the set latitude step length of 10 meters are used for subtraction calculation, and the maximum latitude and the minimum latitude of each grid can be obtained.
Fourthly, identifying the ID of the grid: the n x m grids of 10 meters by 10 meters, and the longitude and latitude maximum value and the longitude and latitude minimum value of each grid can be obtained after calculation through the steps. As shown in fig. 3, for identification, each geographic grid needs to be assigned with a unique identifier 301, for example, A1, A2, A3, B1, B2, B3 \8230; \ 8230;, the grid ID of this embodiment is stored in a database in the form of a numeric string (e.g., A1= 5467734).
After the geographic area is rasterized, each grid has the maximum longitude and latitude, the minimum longitude and latitude and the unique identifier, and the grid is backfilled and matched for next MDT data.
Fifthly, matching the MDT data with the geographic grid: each 10 m by 10 m grid resulting from the above steps has a minimum longitude, a maximum latitude, a minimum latitude, and a unique grid identification ID. In this embodiment, when the data longitude of the MDT of the user is between (min _ grid _ lon, max _ grid _ lon) and the latitude is between (max _ grid _ lat, min _ grid _ lat) of the grid, the user location can be matched to the corresponding home grid. In this embodiment, the home grid obtained by matching the MDT data is shown in table 1:
TABLE 1
The calculation formula of the attribution grid ID is as follows:
home grid ID = TRUNC ((a-20.05085)/(0.0009017/10), 0) + 15579+ TRUNC (B-109.42843)/(0.0009865/10), 0) +1
Wherein, the grid ID is an integer, and the RUNC stands for taking an integer from a logarithmic value; a represents the UE latitude; b represents the longitude of the UE; and substituting the longitude and latitude positions of each row of UE into a formula for calculation to obtain the grid ID to which the UE belongs.
And sixthly, evaluating the grid coverage strength level data and performing geographical rendering, wherein in one sampling period, a plurality of different users report MDT data on a certain geographical grid, and if the overall network coverage strength condition of each grid needs to be evaluated, averaging RSRP data of all sampling points in a single grid is needed. Such as RSRP = (-94-100-105)/3 = -99.67dbm for grid ID =490586554 in table 1. And then, setting different range intervals for each grid coverage strength RSRP value in a map for color rendering, and visually reflecting the signal coverage degree of each grid position.
In this embodiment, the following scheme of rendering colors may be adopted:
when the RSRP value is in the (-140, -110) interval, rendering the corresponding grid to red;
when the RSRP value is in the (-110, -105) interval, rendering the corresponding grid to yellow;
when the RSRP value is in the (-105, -95] interval, rendering the corresponding grid to blue;
when the RSRP value is in the (-95, -44] interval, the corresponding grid is rendered green.
In the present embodiment, the first step to the fourth step do not need to perform the grid-dividing operation every time in practical application unless there is a new evaluation area. Thus, the unique identification ID number assigned to each grid location is stored in the database. And the fifth step and the sixth step may be recalculated according to the MDT data acquisition period.
S3, acquiring a real or simulated quit service base station list;
specifically, the operator OMC network manager counts and outputs a list of service quitting base stations (or a preset "simulated service quitting base station cell" list) actually generated by the current network every day, and this embodiment may store the list of service quitting base stations in the database.
S4, removing the MDT measurement data of the cell corresponding to the quit-service base station to obtain target MDT measurement data;
specifically, in the embodiment, the MDT measurement data records related to the cell corresponding to the resignation base station are removed by matching the resignation base station list in the database, that is, the relevant measurement data records including the resignation cell are deleted from the original full-MDT grid coverage level data assignment record, and then, the coverage strength RSRP data assignment of the geographic grid granularity is recalculated for each geographic grid.
As shown in fig. 4, the MDT measurement data 401 with the CELL name CELL-a in the original MDT measurement data is removed, the average RSRP value 402 is-102 before the removal process, and the average RSRP value 403 is-110 after the removal of the CELL-a data.
In fig. 4, the sampling point number refers to the number of records reported by a user residing in a base station cell within a certain time;
the average RSRP level value refers to the average value of sampling points of measurement levels reported by all users in the grid.
S5, performing second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
specifically, in this embodiment, after the deprecated base station is removed, the RSRP data assignment of the raster coverage level is rendered again, and the degradation degree of the RSRP value of the area raster before and after the base station is deprecated is calculated. By re-geography rendering, it can be seen which grid RSRP value is specifically degraded, yellow from green, or red from green, compared to the graph rendered from the initial MDT measurement data. In practical engineering application, after the base station is out of service, if the network signal strength is degraded in a large-scale grid, it is shown that the signal is seriously attenuated due to the out-of-service of the base station in the area, normal service of a mobile phone user is directly influenced, and the wireless network perception is seriously reduced.
In some embodiments, in order to visually display the degree of change before and after the network signal strength in the monitoring area, a comparison result (e.g., a difference value of the coverage strength RSRP of the grid granularity) between the coverage strength map rendered for the first time and the coverage strength map rendered for the second time may be further displayed and a monitoring alarm may be output.
In the present embodiment, the average degradation degree (dB) = RSRP value after service withdrawal — RSRP value before service withdrawal per grid RSRP.
S6, comparing the first grid coverage intensity rendering graph with the second grid coverage intensity rendering graph, and determining a network coverage degradation evaluation result.
Specifically, the method for judging the RSRP degradation level of geographic grid coverage proposed in this embodiment is as follows:
calculating an RSRP variation value for the coverage strength level of each geographic grid;
when the RSRP value before the base station quits is larger than or equal to a first threshold value and the RSRP value after the base station quits is smaller than or equal to a second threshold value, determining that the evaluation result of the network coverage is seriously degraded;
when the RSRP value before the base station quits is larger than a second threshold and smaller than a first threshold, and the RSRP value after the base station quits is smaller than or equal to the second threshold, determining that the evaluation result of the network coverage is moderate degradation;
when the RSRP value before the base station quits is larger than or equal to a first threshold value, and the RSRP value after the base station quits is smaller than the first threshold value and larger than a second threshold value, determining that the evaluation result of the network coverage is light degradation;
and when the RSRP value after the base station quits service is larger than the first threshold, determining that the network coverage evaluation result is no degradation.
The first threshold in this embodiment is set to-100 dBm, and the second threshold in this embodiment is set to-110 dBm.
An embodiment of the present invention further provides a network coverage degradation evaluation system, including:
the first acquisition module is used for acquiring initial MDT measurement data;
the first rasterization processing module is used for performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
the second acquisition module is used for acquiring a real or simulated quit service base station list;
the rejecting module is used for rejecting the MDT measurement data of the out-of-service base station to obtain target MDT measurement data;
the second rasterization processing module is used for carrying out second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
and the comparison evaluation module is used for comparing the first grid wireless network coverage intensity rendering map with the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result.
In some embodiments, the performing a first geographical rasterization process on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map includes:
the first determination unit is used for determining a geographic area range;
the second determining unit is used for determining the size and granularity of the grid according to the geographic area range based on a preset calculation precision requirement;
the dividing unit is used for carrying out grid division on the geographic area range according to the size granularity of the grids to obtain a plurality of geographic grids;
the identification unit is used for carrying out unique identification on each geographic grid;
a matching unit for matching the initial MDT measurement data with the identified geographical grid;
and the rendering unit is used for rendering the wireless network coverage intensity level value of each matched geographic grid to obtain a first grid wireless network coverage intensity rendering graph.
In some embodiments, the comparing the first grid wireless network coverage intensity rendering map and the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result includes:
a calculation unit for calculating RSRP variation values of the coverage strength levels of each geographical grid;
the first evaluation unit is used for determining that the evaluation result of the network coverage is seriously degraded when the RSRP value before the base station is taken back of service is greater than or equal to a first threshold value and the RSRP value after the base station is taken back of service is less than or equal to a second threshold value;
a second evaluation unit, configured to determine that an evaluation result of network coverage is moderate degradation when an RSRP value before a base station is taken back of service is greater than a second threshold and smaller than the first threshold, and the RSRP value after the base station is taken back of service is smaller than or equal to the second threshold;
a third evaluation unit, configured to determine that an evaluation result of network coverage is light degradation when an RSRP value before a base station is taken back of service is greater than or equal to a first threshold, and the RSRP value after the base station is taken back of service is smaller than the first threshold and larger than a second threshold;
and the fourth evaluation unit is used for determining that the evaluation result of the network coverage is no degradation when the RSRP value after the base station is out of service is larger than the first threshold.
The embodiment of the invention also provides a device, which comprises a processor and a memory;
the memory is used for storing programs;
the processor is adapted to perform the method according to the invention in accordance with the program.
The embodiment of the invention also provides a computer readable storage medium, which stores a program, and the program is executed by a processor to complete the method.
In summary, the present invention provides an application method, a process and an apparatus for simulating the degradation degree of wireless network coverage caused by the fallback of a base station based on the MDT measured data positioning grid technology. Compared with the traditional network management cell telephone traffic data analysis method and the field manual dial testing method, the geographical accuracy of the evaluation and positioning is greatly improved, the evaluation geographical range is more comprehensive, a large number of field manual dial tests are reduced, the cost is lower, the accuracy is higher, and the timeliness is faster.
In addition, the invention can simulate the quit of the base station to evaluate the degradation degree of the coverage level of the geographic grid, realize the simulation evaluation and prediction in advance, and simulate and predict the effect of the coverage degradation in advance before the base station is moved or suddenly quits the service.
Furthermore, the method can remove historical MDT data before the return of the return base station, and perform grid-level comparison analysis and geography rendering innovation application of secondary MDT coverage level, and can realize global and geography visible wireless network coverage intensity degradation positioning analysis.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the described functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for evaluating network coverage degradation, comprising:
acquiring initial MDT measurement data;
performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
acquiring a real or simulated quit service base station list;
removing the MDT measurement data of the quit-service base station to obtain target MDT measurement data;
performing second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
and comparing the first grid wireless network coverage intensity rendering graph with the second grid wireless network coverage intensity rendering graph to determine a network coverage degradation evaluation result.
2. The method according to claim 1, wherein the performing a first geographical rasterization process on the initial MDT measurement data to obtain a first grid wireless network coverage strength rendering map comprises:
determining a geographical area range;
determining the size and granularity of the grid according to the geographic area range based on a preset calculation precision requirement;
performing grid division on the geographic area range according to the size granularity of the grid to obtain a plurality of geographic grids;
uniquely identifying each geographic grid;
matching the initial MDT measurement data with the identified geographic grids;
and rendering the wireless network coverage intensity level value of each matched geographic grid to obtain a first grid wireless network coverage intensity rendering graph.
3. The method according to claim 2, wherein before the step of rendering the wireless network coverage intensity level value for each well-matched geographic grid to obtain the first grid wireless network coverage intensity rendering map, the method further comprises:
determining an RSRP data mean of coverage strength levels of a plurality of coverage cell MDT measurement data in a geographic grid;
and determining the RSRP value of the geographic grid according to the RSRP data mean value.
4. The method of claim 2, wherein the matching the initial MDT measurement data to the identified geographical grid comprises:
and matching the user position corresponding to the initial MDT measurement data to a geographical grid according to the longitude and latitude information of the initial MDT measurement data.
5. The method according to claim 1, wherein the comparing the first grid wireless network coverage intensity rendering map and the second grid wireless network coverage intensity rendering map to determine a network coverage degradation evaluation result comprises:
calculating an RSRP variation value for the coverage strength level of each geographic grid;
when the RSRP value before the base station quits is larger than or equal to a first threshold value and the RSRP value after the base station quits is smaller than or equal to a second threshold value, determining that the evaluation result of the network coverage is seriously degraded;
when the RSRP value before the base station quits is larger than a second threshold and smaller than a first threshold, and the RSRP value after the base station quits is smaller than or equal to the second threshold, determining that the evaluation result of the network coverage is moderate degradation;
when the RSRP value before the base station quits service is larger than or equal to a first threshold value, and the RSRP value after the base station quits service is smaller than the first threshold value and larger than a second threshold value, determining that the evaluation result of the network coverage is light degradation;
and when the RSRP value after the base station is out of service is larger than the first threshold, determining that the network coverage evaluation result is that no degradation exists.
6. A network coverage degradation assessment system, comprising:
the first acquisition module is used for acquiring initial MDT measurement data;
the first rasterization processing module is used for performing first geographical rasterization processing on the initial MDT measurement data to obtain a first grid wireless network coverage intensity rendering map;
the second acquisition module is used for acquiring a real or simulated service quitting base station list;
the rejecting module is used for rejecting the MDT measurement data of the out-of-service base station to obtain target MDT measurement data;
the second rasterization processing module is used for carrying out second geographical rasterization processing on the target MDT measurement data to obtain a second grid wireless network coverage intensity rendering map;
and the comparison evaluation module is used for comparing the first grid wireless network coverage intensity rendering graph with the second grid wireless network coverage intensity rendering graph and determining a network coverage degradation evaluation result.
7. The system according to claim 6, wherein the performing a first geography rasterizing process on the initial MDT measurement data to obtain a first grid wireless network coverage strength rendering map comprises:
the first determination unit is used for determining a geographic area range;
the second determining unit is used for determining the size and granularity of the grid according to the geographic area range based on a preset calculation precision requirement;
the dividing unit is used for carrying out grid division on the geographic area range according to the size granularity of the grids to obtain a plurality of geographic grids;
the identification unit is used for carrying out unique identification on each geographic grid;
a matching unit, configured to match the initial MDT measurement data with the identified geographic grid;
and the rendering unit is used for rendering the wireless network coverage intensity level value of each matched geographic grid to obtain a first grid wireless network coverage intensity rendering graph.
8. The system according to claim 6, wherein the comparing the first grid wireless network coverage intensity rendering map and the second grid wireless network coverage intensity rendering map to determine the network coverage degradation evaluation result comprises:
a calculation unit for calculating RSRP variation values of the coverage strength levels of each geographical grid;
the first evaluation unit is used for determining that the evaluation result of the network coverage is seriously degraded when the RSRP value before the base station is taken back of service is greater than or equal to a first threshold value and the RSRP value after the base station is taken back of service is less than or equal to a second threshold value;
a second evaluation unit, configured to determine that an evaluation result of network coverage is moderate degradation when an RSRP value before a base station is taken back of service is greater than a second threshold and smaller than the first threshold, and the RSRP value after the base station is taken back of service is smaller than or equal to the second threshold;
a third evaluation unit, configured to determine that an evaluation result of network coverage is light degradation when an RSRP value before a base station is taken back of service is greater than or equal to a first threshold, and the RSRP value after the base station is taken back of service is smaller than the first threshold and larger than a second threshold;
and the fourth evaluation unit is used for determining that the evaluation result of the network coverage is no degradation when the RSRP value after the base station is out of service is larger than the first threshold.
9. An apparatus comprising a processor and a memory;
the memory is used for storing programs;
the processor is configured to perform the method according to the program as claimed in any one of claims 1-5.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program, which is executed by a processor to perform the method according to any one of claims 1-5.
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