CN108541011B - Method and device for analyzing strength of wireless network signal coverage area - Google Patents
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Abstract
The invention discloses a method and a device for analyzing the strength of a wireless network signal coverage area. Wherein, the method comprises the following steps: acquiring source longitude and latitude information reported by a Global Positioning System (GPS) service application of a mobile terminal; normalizing the source longitude and latitude information into standard longitude and latitude information; based on the constraint condition of the wireless network signal propagation distance, unreasonable longitude and latitude information in the standard longitude and latitude information is removed; associating reasonable longitude and latitude information in the standard longitude and latitude information with wireless environment data; and acquiring the wireless network signal intensity at the reasonable longitude and latitude positions based on the associated reasonable longitude and latitude information and the wireless environment data. The embodiment can improve the network testing precision and reduce human resources, equipment resources and testing time.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method and a device for analyzing the strength of a wireless network signal coverage area.
Background
With the rapid development of communication technology, mobile communication data services are rapidly developed. In order to ensure the reliability of the data service, in the current network, it is often necessary to confirm the continuity and quality of the service by continuously dialing and testing according to the planned path. Among them, DT (DRIVE TEST ) is the most typical test means. DT is also known as drive test. In order to master the conditions of network signal level, coverage and the like, special test is carried out on the road by using special test equipment. Specifically, DT is a method for measuring wireless network performance by driving a vehicle with a wireless test device to travel along a certain road. In the DT, a tester simulates an actual user to make a voice call or perform data service application by using a mobile terminal, uploads or downloads files with different sizes, acquires network performance statistical indexes by performing signaling acquisition and statistical analysis through test software, finds problems in a network and provides actual data support for optimizing the network.
The applicant finds out through research that: although the conventional DT can solve the test problem, the test method has low test precision due to the small number of test samples, the large number of test blind areas and the like. In addition, DT requires a significant investment of manpower, equipment resources and time.
How to improve the network testing precision and reduce the human resources, the equipment resources and the testing time becomes an urgent problem to be solved in the industry.
Disclosure of Invention
In order to improve network testing accuracy and reduce human resources, equipment resources and testing time, the embodiment of the invention provides a method and a device for analyzing the strength of a wireless network signal coverage area.
In a first aspect, a method for analyzing the strength of a wireless network signal coverage area is provided, which includes the following steps:
acquiring source longitude and latitude information reported by a GPS service application of a mobile terminal;
normalizing the source longitude and latitude information into standard longitude and latitude information;
based on the constraint condition of the wireless network signal propagation distance, unreasonable longitude and latitude information in the standard longitude and latitude information is removed;
associating reasonable longitude and latitude information in the standard longitude and latitude information with wireless environment data;
and acquiring the wireless network signal intensity at the reasonable longitude and latitude positions based on the associated reasonable longitude and latitude information and the wireless environment data.
In a second aspect, an apparatus for analyzing the signal coverage area strength of a wireless network is provided. The device includes:
the position acquisition unit is used for acquiring source longitude and latitude information reported by a GPS service application of the mobile terminal;
the information conversion unit is used for converting the source longitude and latitude information into standard longitude and latitude information in a normalization mode;
the information removing unit is used for removing unreasonable longitude and latitude information in the standard longitude and latitude information based on the constraint condition of the wireless network signal propagation distance;
the data association unit is used for associating reasonable longitude and latitude information in the standard longitude and latitude information with the wireless environment data;
and the strength acquisition unit is used for acquiring the wireless network signal strength at the reasonable longitude and latitude positions based on the associated reasonable longitude and latitude information and the wireless environment data.
The embodiment of the invention obtains the source longitude and latitude information reported by the GPS service application of the mobile terminal; the method comprises the steps of normalizing source longitude and latitude information into standard longitude and latitude information, then removing unreasonable longitude and latitude information in the standard longitude and latitude information based on a constraint condition of wireless network signal propagation distance, associating reasonable longitude and latitude information in the standard longitude and latitude information with wireless environment data, and obtaining wireless network signal intensity at a reasonable longitude and latitude position based on the associated reasonable longitude and latitude information and wireless environment data.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, 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 a method for analyzing strength of a wireless network signal coverage area according to an embodiment of the present invention.
Fig. 2 is a schematic view of a sub-flow diagram in fig. 1.
FIG. 3 is a diagram of a map according to an embodiment of the present invention.
Fig. 4 is a schematic map diagram of another embodiment of the present invention.
Fig. 5 is a map schematic of yet another embodiment of the present invention.
FIG. 6 is a full time domain data storage map according to an embodiment of the invention.
Fig. 7 is a schematic diagram of grid evaluation rendering map according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of rendering a map by indoor coverage according to an embodiment of the present invention.
FIG. 9 is a schematic diagram of a road coverage rendering map according to an embodiment of the invention.
Fig. 10 is a functional structure diagram of an apparatus for analyzing the intensity of a wireless network signal coverage area according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart illustrating a method for analyzing strength of a wireless network signal coverage area according to an embodiment of the present invention.
As shown in fig. 1, the method comprises the steps of: s110, acquiring source longitude and latitude information reported by a GPS (Global Positioning System) service application of the mobile terminal; s120, normalizing the source longitude and latitude information into standard longitude and latitude information; s130, based on the constraint condition of the wireless network signal propagation distance, unreasonable longitude and latitude information in standard longitude and latitude information is removed; s140, associating reasonable longitude and latitude information in the standard longitude and latitude information with wireless environment data; s150, acquiring the wireless network signal intensity at the reasonable longitude and latitude position based on the associated reasonable longitude and latitude information and the wireless environment data.
In step S110, the mobile terminal may be a terminal such as a smart phone or a positioning watch in a certain cell range. The GPS service application can be a Baidu map Application (APP), a dripping trip APP and the like, the APPs can contain GPS services, and longitude and latitude information of the GPS to the mobile terminal can be reported.
Table (1) below records a URI (Uniform Resource Identifier) field in an XDR (External Data retrieval) file of S1-HTTP (HyperText Transfer Protocol). The longitude and latitude reported by part of APP can be obtained through the URI field in the XDR file of S1-HTTP. The latitude and longitude data can be referred to as latitude (latitude) parameter and longtude (longitude) parameter shown in the following table (1).
Watch (1)
The latitude information in the table (1) is source latitude and longitude information, for example, coordinate system information of one or more than one APP external interfaces, and the information is not the real latitude and longitude acquired by the GPS and is the latitude and longitude information after being encrypted. The coordinate standard of the source longitude and latitude information can be GCJ-02 standard or BD-09 standard established by the State Bureau of testing.
In step S120, the standard latitude and longitude information may be the latitude and longitude information standardized as WGS-84. WGS-84 is an international latitude and longitude coordinate standard. At least GCJ-02 must be used for encrypting the geographical position for the first time in China, and on the basis, APP such as Baidu maps and the like are subjected to secondary encryption measures such as BD-09, so that personal privacy is protected. Therefore, the coordinate systems of the APP external interfaces are not the real longitude and latitude acquired by the GPS, and before data association processing, differential deviation correction calculation of the coordinate systems of different APPs is required to be performed, so that longitude and latitude information is normalized to the WGS84 coordinate system, and a unified user position information fingerprint database is formed. The differential deviation rectifying algorithm is to sort and uniformly convert the acquired longitude and latitude of the user into WGS84 coordinates according to different applications.
Fig. 2 is a schematic view of a sub-flow diagram in fig. 1. As shown in fig. 2, the step (S120) of normalizing the source latitude and longitude information into the standard latitude and longitude information in fig. 1 may include:
s121, longitude and latitude information of the Baidu map APP with the standards of WGS84, BD09 and GCJ02 is acquired through LTE S1-UXDR, and longitude and latitude information of GCJ02 of the drip line APP and the like are acquired.
And S122, sorting the position information correlation application, and performing coordinate conversion. For example, longitude and latitude information of the Baidu map APP with the standard of WGS84, BD09 and GCJ02, longitude and latitude information of GCJ02 of the drip line APP and the like are obtained and are normalized and converted into longitude and latitude information with the standard of WGS 84.
And S123, normalizing the data to a user fingerprint database of a WGS84 coordinate system.
And S124, sending the data of the user fingerprint database to other position associated applications for the associated applications to call.
Specifically, taking GCJ-02- > WGS84 as an example, the pgsql code segment can be as follows:
in step S130, the constraint conditions of the propagation distance of the wireless signal may include, for example: the coverage range of wireless network signals of the cell is within a circular range with the circle center as a cell base station and the radius of 300 meters, and/or the positioning distance of GPS positioning between the mobile terminal and the cell base station is less than or equal to the propagation distance of wireless network signals between the mobile terminal and the cell base station. The propagation distance may be equal to (c × TADV × 16)/(15000 × 2048), where c is the speed of light and TADV is the time difference of arrival parameter in the measurement report MR, for example.
Therefore, the coverage area of the wireless network signal based on the cell is restricted, the cell parameters can be well utilized, unreasonable data can be eliminated, and the accuracy of the measured data is improved. In addition, the positioning distance of GPS positioning between the mobile terminal and the cell base station is smaller than or equal to the propagation distance of wireless network signals between the mobile terminal and the cell base station, unreasonable data are eliminated, the method is scientific and reasonable, and the accuracy of measured data is further improved.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The specific implementation of the longitude and latitude calibration based on the constraint condition of the propagation distance of the wireless signal can be as follows:
1. and eliminating unreasonable longitude and latitude according to the coverage area of the cell.
For example, longitude and latitude information is obtained through a URI field of S1-HTTP, a Cell ID (a positioning method) field is firstly used in combination with working parameters to determine the coverage area of a Cell, and unreasonable longitude and latitude are removed.
2. And eliminating unreasonable longitude and latitude according to TADV in the MR.
For example, due to the influence of the geographical environment on the propagation path, the base station cell signal received by the UE (user terminal) is not in a straight line propagation sense (especially dense urban area), and TADV (time difference of arrival) represents the time difference generated by a real curve path. The present embodiment considers that the GPS positioning location distance between the terminal and the base station should be smaller than the path distance of the signal to the base station. The specific formula can be as follows:
where c is the speed of light and TADV is the MRO intra mr. Through the algorithm, the latitude and longitude which are inaccurate in positioning are eliminated, so that the positioning accuracy is further improved.
FIG. 3 is a diagram of a map according to an embodiment of the present invention.
Referring to fig. 3, the map may be a schematic diagram of projecting an abruptness map APP document directly to a WGS84 coordinate system map. The data in the graph is not subjected to the culling processing, so that part of the data in the graph is correct, and part of the data in the graph is wrong.
Fig. 4 is a schematic map diagram of another embodiment of the present invention.
Referring to FIG. 4, the map may be a map schematic diagram of the Baidu map APP document projected on the WGS84 coordinate system after being processed by GCJ-02 to WGS 84. The data in the graph is not subjected to the culling processing, and part of the data in the graph is correct and part of the data in the graph is wrong.
Fig. 5 is a map schematic of yet another embodiment of the present invention.
Referring to fig. 5, the map may be a map schematic diagram obtained by processing an APP document of an Baidu map according to two various coordinate systems and then fitting the APP document by using cell parameters (e.g., cell coverage parameters, cell longitude and latitude). The erroneous data in fig. 5 is filtered (data outside the cell coverage is filtered) and the remaining data is legitimate data.
In step S140, the wireless environment data includes at least one of: user plane interface SI-U data, control plane SI-MME data, mobility robustness optimization MRO data.
Therefore, the multi-type and large-quantity basic data can be provided in time and efficiently through the user plane interface SI-U data, the control plane SI-MME data and the mobility robustness optimization MRO data, a foundation is provided for the later-stage mass data operation, and the testing precision is ensured. In addition, the wireless environment data is associated with the longitude and latitude information, so that the signal intensity of the required position can be timely, conveniently and accurately acquired.
For example, the longitude and latitude of the position where the user is located and the wireless environment can be associated through S1-U (user interface), S1-MME and MRO data, and the implementation manner of the association can be as follows:
s141, associating S1-HTTP and S1-MME by adopting a Time sliding search mode through fields of IMSI (International Mobile Subscriber identity), Procedent Start Time and Procedent End Time to obtain key fields of MME UE S1AP ID, longitude and latitude, CELL ID and the like.
And S142, correlating the Information obtained in the step (1) by using a Time sliding search mode through data in fields MME UE S1AP ID, Procedure Start Time, Procedure End Time and MRO, screening invalid data and eliminating error data, realizing the correlation of MR and XDR data of the same user, and obtaining Information such as Reference Signal Receiving Power (RSRP), Reference Signal Receiving Quality (RSRQ), Tracking Area (TA), uplink SINR (Signal to Interference plus Noise Ratio), Routing Information Protocol (RIP), AOA (arrival angle of measurement Signal) and the like of the user. This correlates the latitude and longitude of the user with the wireless environment. The RSRP is one of key parameters that can represent the radio signal strength in an LTE (Long Term Evolution) network and the physical layer measurement requirement, and is an average value of signal power received on all REs (resource elements) that carry reference signals within a certain symbol.
S143, the IMSI and IMEI information of the XDR are backfilled into the corresponding MR sample, the backfilling of the user information of the MR is realized, and the process is circulated until each MR is associated with the user information (IMSI/IMEI).
And S144, after the MRO is associated with the S1-U service plane (http) and the S1-MME, the user can be tracked, the user behavior can be analyzed, and preparation is made for subsequent abnormal condition analysis and service index analysis. Such as calculating the average download rate, the time delay of the service plane, etc.
In step S150, the wireless network signal strength may be represented by RSRP level. When the collection samples of the mobile terminal are many, a Geographic Information System (GIS) map can be acquired by depending on a big data platform. The area with the RSRP level lower than the threshold may be determined as an LTE weak coverage area.
In addition, in the case of no conflict, those skilled in the art can flexibly adjust the order of the above operation steps or flexibly combine the above steps according to actual needs. Various implementations are not described again for the sake of brevity. In addition, the contents of the various embodiments may be mutually incorporated by reference.
In some embodiments, on the basis of the embodiment shown in fig. 1, the following steps may be further included:
based on the associated longitude and latitude information and the wireless environment data, performing at least one of the following operations: position point evaluation, grid evaluation, area analysis, scene rendering, indoor coverage rendering, road coverage rendering and complaint tracking.
For example, based on the corrected longitude and latitude of the user and the service wireless environment, comprehensive evaluation of network quality can be performed. For example, functions such as location point evaluation, grid evaluation, area analysis, scene rendering, indoor coverage rendering, road coverage rendering, complaint tracking, and the like are provided. By the effective method, users, cells and areas with low perception can be evaluated, the efficiency of optimizing problem mining is improved for final optimization, and the perception of terminal customers is improved.
The embodiment can be based on the full-scale behaviors and the wireless environment of the full-scale users, and provides functions of position point evaluation, grid evaluation, area analysis, scene rendering, indoor coverage rendering, complaint tracking and the like. Compared with the traditional wireless network optimization test scheme, the method has the following advantages:
1. optimizing an analysis method and changing ideas, thoroughly twisting the problem that the traditional problem can only be positioned to a cell, and realizing the end-to-end re-arrival user and accurate position analysis and optimization capability;
2. guiding a network optimization department to carry out weak coverage road section survey and discovery of hidden faults by combining a test platform;
3. the field test work of complaint handling is reduced, the complaint handling efficiency and accuracy are improved, and the complaint centralized positioning is realized;
4. the method has the advantages that the method can assist accurate coverage and maximization of investment benefit, guide the requirement sequencing of newly-added base stations, and reduce base stations which are not required to be built;
5. and forming a user fingerprint library (realized by the mobile terminal of the user) and supporting a market department to carry out accurate marketing.
FIG. 6 is a full time domain data storage map according to an embodiment of the invention.
As shown in fig. 6, the graph can be used for querying the traceback history data. When fuzhou and 20161027 are entered, 18 records from day 27 of year 10 to day 10 of year 10 of 16 may be displayed.
Fig. 7 is a schematic diagram of grid evaluation rendering map according to an embodiment of the present invention.
As shown in fig. 7, the number of sample points in the user trajectory: 75, sample days: 4, number of excellent coverage samples: 64; number of medium coverage samples: 9; number of weak coverage samples: 2; RSRP: -83.12 dbm; response success rate: 100 percent; first packet response delay: 58.276613 ms.
Fig. 8 is a schematic diagram of rendering a map by indoor coverage according to an embodiment of the present invention.
As shown in fig. 8, among 19 user records, there are recorded: the measurement method comprises the following steps of user, sample point number, excellent coverage sample number, medium coverage sample number, weak coverage sample number, RSRP, response success rate, first packet response delay, download rate, address and other parameters, wherein the response success rates of the 19 records are all 100%, and therefore, the measurement effect is good. The values specifically measured can be shown in the following table:
FIG. 9 is a schematic diagram of a road coverage rendering map according to an embodiment of the invention.
As shown in fig. 9, the number of sample points in the user trajectory: 951, sample days: 15, number of excellent coverage samples: 279; number of medium coverage samples: 664; number of weak coverage samples: 8; RSRP: -96.520504 dbm; response success rate: 96.1093 percent; first packet response delay: 68.12811 ms.
The embodiment can select the core indexes mainly comprising the download rate, the response delay, the service success rate, the RSRP level, the attachment frequency and the switching frequency based on the interface signaling, the MR data, the cell location information and the GIS information of the full-scale user in the full-scale period, realize the comprehensive evaluation of the user experience and the network quality through a single-item scoring and weighted scoring mode, form the full-scale and normalized automatic virtual drive test and effectively supplement the drive test work. In addition, full-time domain data storage can be realized by relying on a big data platform, and historical data can be traced, clustered and associated; centralized management of GIS maps, base stations and grids in all areas of the whole province is realized; and a multi-dimensional statistical report is provided, long-term degradation areas are tracked, and the long-term degradation areas are gathered according to dimensions of local cities, counties and cells, so that managers can conveniently control the network quality of the whole network.
Fig. 10 is a functional structure diagram of an apparatus for analyzing the intensity of a wireless network signal coverage area according to an embodiment of the present invention.
As shown in fig. 10, the apparatus 100 for analyzing the intensity of a wireless network signal coverage area may include: a position acquisition unit 101, an information conversion unit 102, an information culling unit 103, a data association unit 104, and an intensity acquisition unit 105.
The position obtaining unit 101 may be configured to obtain source longitude and latitude information reported by a GPS service application of the mobile terminal; the information conversion unit 102 may be configured to convert the source latitude and longitude information into standard latitude and longitude information in a unified manner; the information removing unit 103 may be configured to remove unreasonable longitude and latitude information from the standard longitude and latitude information based on a constraint condition of a wireless network signal propagation distance; the data association unit 104 may be configured to associate reasonable latitude and longitude information in the standard latitude and longitude information with the wireless environment data; the strength obtaining unit 105 may be configured to obtain the wireless network signal strength at a reasonable latitude and longitude based on the associated reasonable latitude and longitude information and wireless environment data.
It should be noted that the implementation manner of the functional units or the functional modules shown in the present embodiment may be hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
In some embodiments, the constraints on the propagation distance of the wireless signal include: the coverage range of wireless network signals of the cell is within a circular range with the circle center as a cell base station and the radius of 300 meters, and/or the positioning distance of GPS positioning between the mobile terminal and the cell base station is less than or equal to the propagation distance of wireless network signals between the mobile terminal and the cell base station.
In some embodiments, the propagation distance is equal to (c × TADV × 16)/(15000 × 2048), where c is the speed of light and TADV is the time difference of arrival parameter in the measurement report MR.
In some embodiments, the wireless environment data comprises at least one of: user plane interface SI-U data, control plane SI-MME data, mobility robustness optimization MRO data.
In some embodiments, on the basis of the embodiment shown in fig. 10, there may be further added: and a comprehensive evaluation unit. The comprehensive evaluation unit can be used for performing at least one of the following operations based on the associated longitude and latitude information and the wireless environment data: position point evaluation, grid evaluation, area analysis, scene rendering, indoor coverage rendering, road coverage rendering and complaint tracking.
It should be noted that the apparatuses in the foregoing embodiments can be used as the execution main bodies in the methods in the foregoing embodiments, and can implement corresponding processes in the methods, and for brevity, the contents of this aspect are not described again.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
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