CN110691369B - Indoor signal leakage analysis method and system based on MDT - Google Patents
Indoor signal leakage analysis method and system based on MDT Download PDFInfo
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Abstract
The embodiment of the invention provides an indoor signal leakage analysis method and system based on MDT. The method comprises the following steps: acquiring MDT data, MR data and engineering parameter data, and acquiring building geographical position information in a target area to be detected; correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data; obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data; and obtaining a judgment result whether the indoor cell is the signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion. According to the embodiment of the invention, by adopting a big data mining analysis technology, indoor cells and affected macro cells with signal leakage and suspected signal leakage are accurately and automatically identified in the whole network mass data.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an indoor signal leakage analysis method and system based on MDT.
Background
At present, the 4G network coverage in the mobile network is relatively perfect, especially the signal quality of the indoor coverage inside the city is relatively good, but the problems of call drop and poor communication quality are often encountered on the street close to the building, which seriously affects the user perception, and most of the situations are caused by indoor signal leakage. Under normal conditions, indoor signals mainly cover an indoor area, outdoor coverage is borne by a macro cell, the intensity of the indoor signals is controlled at the periphery of a building, and therefore the indoor signals are prevented from leaking outdoors, an outdoor terminal is guaranteed to be preferentially accessed to the outdoor macro cell, the problems of call drop, poor call quality and the like caused by rapid attenuation of the indoor signals are reduced, and therefore the problem that the indoor signals leak in the whole network is found in time and is an important content of network optimization.
The prior art mainly has a manual mode of drive test or complaint triggering, and has the following defects:
1) the drive test triggering mode is generally that unified test is carried out at the initial stage of indoor distribution construction, then the test is carried out according to the requirement, once the subsequent peripheral condition changes, the change cannot be found in time, and the drive test checking area is limited, so that the whole network checking cannot be carried out frequently;
2) the complaint triggering mode is to perform fixed-point analysis according to the complaint position, if the position is complained for many times and the problem phenomenon is similar, and at the same time, in the peripheral edge area of the building, the indoor and outdoor signals of the area are likely to be the cause of the indoor signal leakage, and the indoor and outdoor signals of the area need to be measured on site to finally determine whether the indoor cell signal leaks to the peripheral area. The limitation of this method is that it can only be used for the treatment after the problem occurs, and the prior whole network investigation cannot be carried out.
Disclosure of Invention
The embodiment of the invention provides an indoor signal leakage analysis method and system based on MDT (minimization drive test), which are used for solving the defects of low analysis and identification accuracy rate and low efficiency caused by excessive dependence on manpower in the prior art.
In a first aspect, an embodiment of the present invention provides an indoor signal leakage analysis method based on MDT, including:
acquiring MDT data, MR data and engineering parameter data of a target area to be detected, and acquiring building geographical position information in the target area to be detected;
correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data;
obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data;
and obtaining a judgment result whether the indoor cell is the signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion.
Preferably, the acquiring MDT data, MR data, and work parameter data of the target area to be measured, and acquiring geographical location information of the building in the target area to be measured specifically include:
acquiring the MDT data through a network manager of the target area to be detected, and analyzing and storing a first base station ID, a first main cell RSRP, a first adjacent cell PCI and a first adjacent cell RSRP in the MDT data;
acquiring the MR data through the network manager, and analyzing and storing a second base station ID, a second main cell RSRP, a second adjacent cell PCI and a second adjacent cell RSRP in the MR data;
acquiring the working parameter data, analyzing and storing attributes of a third base station ID, a cell PCI, a cell longitude, a cell latitude and whether the cell is an indoor cell in the working parameter data;
and collecting the geographical position information of each building boundary in the target area to be detected from the Internet, and determining the closed graph range of the building outer boundary.
Preferably, the MDT data is associated with the work parameter data to obtain first associated data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data, which specifically comprises the following steps:
respectively taking the first base station ID and the third base station ID as well as the first main cell ID and the cell ID as first associated fields, acquiring a first preset attribute, and screening MDT data taking an indoor cell as a main cell to serve as the first associated data;
respectively taking the second base station ID and the third base station ID as well as the second main cell ID and the cell ID as second associated fields, acquiring a second preset attribute, and screening MR data taking an indoor cell as a main cell to be taken as second associated data;
and acquiring the cell longitude and the cell latitude, and judging and acquiring the specific position of the indoor cell as the third associated data based on the cell longitude, the cell latitude and the building geographic position information.
Preferably, the obtaining the MDT suspected leakage ratio and the MR suspected leakage ratio of the indoor cell based on the first correlation data, the second correlation data, and the third correlation data specifically includes:
traversing all indoor cells of the target area to be detected based on the first correlation data, the second correlation data and the third correlation data to obtain building ranges associated with the indoor cells;
traversing MDT samples of indoor cells in a building range associated with the indoor cells, counting the number of sampling points of the positions of the MDT samples in a building leakage area to obtain first data suspected of leakage of the indoor cells, taking all the MDT data in the indoor cells as second data, obtaining the suspected leakage proportion of the MDT based on the first data and the second data, and obtaining the PCI information of outdoor neighbor cells with the strongest RSRP in the first data;
acquiring all MR data of the indoor cell, counting the number of sampling points with the similar strength of the RSRP of the outdoor neighboring cell and the RSRP of the indoor main cell based on the PCI information of the outdoor neighboring cell, taking the number as third data, counting all the sampling point data of the indoor cell as fourth data, and obtaining the suspected leakage proportion of the MR based on the third data and the fourth data.
Preferably, the obtaining a determination result of whether the indoor cell is a signal leakage cell based on the MDT suspected leakage ratio and the MR suspected leakage ratio specifically includes:
if the MDT suspected leakage ratio is larger than a first preset threshold and the MR suspected leakage ratio is larger than a second preset threshold, judging that the indoor cell has a signal leakage problem and the PCI of the macro cell of the neighbor cell is an affected cell;
if the suspected MDT leakage ratio is larger than a first preset threshold and the suspected MR leakage ratio is smaller than a second preset threshold, the indoor cell is judged to be a suspected affected cell;
and if the suspected MDT leakage ratio is smaller than a first preset threshold, judging that the indoor cell has no signal leakage problem.
Preferably, the method further comprises:
generating a checking report based on the judgment result;
and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
In a second aspect, an embodiment of the present invention provides an MDT-based indoor signal leakage analysis system, including:
the acquisition module is used for acquiring MDT data, MR data and engineering parameter data of a target area to be detected and acquiring building geographical position information in the target area to be detected;
the correlation module is used for correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data;
the processing module is used for obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data;
and the judging module is used for obtaining a judgment result whether the indoor cell is the signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion.
Preferably, the system further comprises:
the report module is used for generating a checking report based on the judgment result; and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the MDT based indoor signal leakage analysis methods when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of any one of the MDT-based indoor signal leakage analysis methods.
According to the indoor signal leakage analysis method and system based on the MDT, provided by the embodiment of the invention, the indoor cells and the affected macro cells with signal leakage and suspected signal leakage are accurately and automatically identified in the mass data of the whole network in a targeted manner by adopting a big data mining analysis technology.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an algorithm for analyzing a signaling leakage problem based on MDT and MR big data according to an embodiment of the present invention;
fig. 2 is a flowchart of an indoor signal leakage analysis method based on MDT according to an embodiment of the present invention;
fig. 3 is a structural diagram of an indoor signal leakage analysis system based on MDT according to an embodiment of the present invention;
fig. 4 is a block diagram of an electronic device 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.
In the process of using data service by a user, the problems of call drop, call quality reduction and the like of the user in the moving process of the user in the peripheral edge area of a building often occur, the influence on the user perception is large, the signaling quality problem occurring around the building is generally related to indoor signal leakage, and as the buildings in the city are numerous, the indoor signal leakage situation is more, and the interference on nearby outdoor signals is large, the method for quickly finding the leakage area and optimizing the leakage area becomes an important content of network optimization. Because the number of buildings is large, the surrounding environment is complex, the abnormal condition of indoor signal leakage is difficult to be comprehensively checked by using the traditional drive test mode, and the reverse positioning can be realized only according to the complaints and the problems. The embodiment of the invention is based on 4G MDT data, 4G MR data, building information and 4G cell work parameter data, carries out comprehensive analysis by combining the work parameter and the sampling point proportion of the MR data based on the accurate positioning capability of the MDT, identifies the area and the severity of indoor signal leakage and generates an analysis report. The overall algorithm flow diagram of an embodiment of the present invention is shown in fig. 1.
Fig. 2 is a flowchart of an indoor signal leakage analysis method based on MDT according to an embodiment of the present invention, as shown in fig. 2, including:
s1, acquiring MDT data, MR data and engineering parameter data of the target area to be detected, and acquiring building geographical position information in the target area to be detected;
s2, correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data;
s3, obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data;
and S4, obtaining a judgment result whether the indoor cell is a signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion.
Specifically, in step S1, first, in the target area to be measured, 4G MDT (Minimization of Drive-tests) data, 4G MR (Measurement Report) data, 4G engineering parameter data, and detailed building geographic information data of a user are collected;
in step S2, after the various reference data are obtained, associating the MDT data with the work parameter data, screening out corresponding target data as first associated data, associating the MR data with the work parameter data, screening out corresponding target data as second associated data, and finally associating the work parameter data with the geographical location information of the building, or screening out corresponding target data as third associated data;
in step S3, based on the first, second, and third correlation data obtained in step S2, performing indoor signal leakage analysis, and calculating to obtain a suspected MDT leakage ratio and a suspected MR leakage ratio;
in step S4, based on the MDT suspected leakage rate and the MR suspected leakage rate obtained in step S3, a signal leakage problem is determined according to big data statistical analysis, and a determination result of whether the indoor cell is a signal leakage cell is obtained by setting a corresponding determination threshold.
According to the embodiment of the invention, a large data mining analysis technology is adopted, a series of parameters of the target area to be detected are collected, analyzed and calculated, and indoor cells and affected macro cells with signal leakage and suspected signal leakage are accurately and automatically identified in the whole network mass data in a targeted manner.
Based on the above embodiment, the acquiring MDT data, MR data, and engineering parameter data of the target area to be measured, and acquiring geographical location information of the building in the target area to be measured specifically includes:
acquiring the MDT data through a network manager of the target area to be detected, and analyzing and storing a first base station ID, a first main cell RSRP, a first adjacent cell PCI and a first adjacent cell RSRP in the MDT data;
acquiring the MR data through the network manager, and analyzing and storing a second base station ID, a second main cell RSRP, a second adjacent cell PCI and a second adjacent cell RSRP in the MR data;
acquiring the working parameter data, analyzing and storing attributes of a third base station ID, a cell PCI, a cell longitude, a cell latitude and whether the cell is an indoor cell in the working parameter data;
and collecting the geographical position information of each building boundary in the target area to be detected from the Internet, and determining the closed graph range of the building outer boundary.
Specifically, when acquiring parameters of a target area to be measured, a first step of installing an acquisition program, acquiring 4G MDT data of the target area to be measured from a network management and control (OMC) system, and analyzing and storing information of a first base station ID, a first main cell RSRP, a first adjacent cell PCI and a first adjacent cell RSRP;
similarly, 4G MR data of a target area to be detected is collected on a network management OMC system, and a second base station ID, a second main cell RSRP, a second adjacent cell PCI and a second adjacent cell RSRP are analyzed and stored;
acquiring or acquiring 4G working parameter data, wherein the working parameter data is generally maintained by an operator, and a third base station ID, a cell PCI, a cell longitude, a cell latitude and whether a cell is an indoor cell or not are analyzed and stored;
and finally, collecting the geographical position information of each building boundary from the Internet, and determining the closed graph range of the building boundary.
According to the embodiment of the invention, various network indexes and reference information of the target area to be detected are collected from four dimensions, the collection process adopts system automatic analysis, the data is based on MDT data and MR data which are automatically collected periodically, and the whole network investigation can be carried out at any time based on the geographical information of the building and the accurate positioning characteristic of MDT, so that the optimization analysis efficiency is improved, the comprehensive inspection of multi-dimensional association is realized, and the analysis problem is more comprehensive and accurate.
Based on any one of the above embodiments, the MDT data is associated with the engineering parameter data to obtain first associated data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data, which specifically comprises the following steps:
respectively taking the first base station ID and the third base station ID as well as the first main cell ID and the cell ID as first associated fields, acquiring a first preset attribute, and screening MDT data taking an indoor cell as a main cell to serve as the first associated data;
respectively taking the second base station ID and the third base station ID as well as the second main cell ID and the cell ID as second associated fields, acquiring a second preset attribute, and screening MR data taking an indoor cell as a main cell to be taken as second associated data;
and acquiring the cell longitude and the cell latitude, and judging and acquiring the specific position of the indoor cell as the third associated data based on the cell longitude, the cell latitude and the building geographic position information.
Specifically, multidimensional analysis of data is used as a basis for data screening and association.
Step one, correlating MDT data with engineering parameter data, wherein correlation fields are a base station ID and a cell ID, correlating and acquiring the attribute of 'whether an indoor cell' and screening the MDT data with the indoor cell as a main cell;
secondly, correlating the MR data with the working parameter data, wherein the correlation field is a base station ID and a cell ID, correlating and acquiring the attribute of 'whether the indoor cell is' and screening the MR data of which the indoor cell is a main cell;
and thirdly, associating the indoor cell in the business parameters with the building geographic information, wherein the association method comprises the steps of taking longitude and latitude information of the indoor cell, judging which building is in the closed graph, namely, indicating that the indoor cell is the cell in the building, and completing association between the cell and the building.
The embodiment of the invention changes the work which can be completed by a detailed analysis party of the data such as the engineering parameter, the drive test, the complaint and the like by an experienced optimization engineer through realizing the automatic association of the related data without manual participation, has simple operation and reduces the corresponding technical requirements.
Based on any one of the above embodiments, the obtaining the MDT suspected leakage ratio and the MR suspected leakage ratio of the indoor cell based on the first correlation data, the second correlation data, and the third correlation data specifically includes:
traversing all indoor cells of the target area to be detected based on the first correlation data, the second correlation data and the third correlation data to obtain building ranges associated with the indoor cells;
traversing MDT samples of indoor cells in a building range associated with the indoor cells, counting the number of sampling points of the positions of the MDT samples in a building leakage area to obtain first data suspected of leakage of the indoor cells, taking all the MDT data in the indoor cells as second data, obtaining the suspected leakage proportion of the MDT based on the first data and the second data, and obtaining the PCI information of outdoor neighbor cells with the strongest RSRP in the first data;
acquiring all MR data of the indoor cell, counting the number of sampling points with the similar strength of the RSRP of the outdoor neighboring cell and the RSRP of the indoor main cell based on the PCI information of the outdoor neighboring cell, taking the number as third data, counting all the sampling point data of the indoor cell as fourth data, and obtaining the suspected leakage proportion of the MR based on the third data and the fourth data.
Specifically, traversing all indoor cells, obtaining a building range associated with a cell according to the data associated in the above embodiment, traversing the MDT sample of the cell, and counting the number of sampling points of the location of the MDT sample in a building leakage area (where the leakage area is outside the distance range from the outer surface of the building, and is denoted by d, and generally d =10 m), to obtain the number m of data suspected of leaking out of the indoor cell, that is, the first data. And (3) calculating the suspected MDT leakage proportion r1= m/n 100% and simultaneously recording the PCI information of the outdoor adjacent region with the strongest RSRP in the leakage data, wherein the number of all MDT data of the indoor cell is n, namely second data.
Acquiring all the MR data of the indoor cell, counting the number a of sampling points of the RSRP of the outdoor neighboring cell close to the RSRP of the indoor main cell (here, a threshold can be set, for example, 6 db), that is, the third data, counting the number b of sampling points of the indoor cell, that is, the fourth data, and counting the suspected MR leakage ratio r2= a/b 100%, according to the PCI of the outdoor neighboring cell recorded in the previous step.
The embodiment of the invention quantifies the sampling points in the MDT data in a certain specified building leakage range to obtain the leakage proportion, and quantifies the sampling points in the MR data in the strongest outdoor adjacent region in the leakage data to obtain the leakage proportion, thereby providing accurate data support for subsequent screening and judgment, having simple and convenient operation, and efficiently and accurately completing the work that the whole network can not be identified due to large workload in the past.
Based on any one of the above embodiments, the obtaining a determination result of whether the indoor cell is a signal leakage cell based on the MDT suspected leakage ratio and the MR suspected leakage ratio specifically includes:
if the MDT suspected leakage ratio is larger than a first preset threshold and the MR suspected leakage ratio is larger than a second preset threshold, judging that the indoor cell has a signal leakage problem and the PCI of the macro cell of the neighbor cell is an affected cell;
if the suspected MDT leakage ratio is larger than a first preset threshold and the suspected MR leakage ratio is smaller than a second preset threshold, the indoor cell is judged to be a suspected affected cell;
and if the suspected MDT leakage ratio is smaller than a first preset threshold, judging that the indoor cell has no signal leakage problem.
Specifically, based on the MDT suspected leakage ratio r1 and the MR suspected leakage ratio r2 obtained in the above embodiment, the following determination is made:
1) when r1 exceeds a first preset threshold t1, if r2 exceeds a second preset threshold t2, the indoor cell is judged to have the problem of signal leakage, and the PCI of the adjacent cell macro cell is an affected cell;
2) when r1 exceeds a first preset threshold t1, if r2 does not exceed a second preset threshold t2, it is determined that the indoor cell is suspected to have a signal leakage problem, and the PCI of the macro cell of the neighboring cell is a suspected affected cell and needs to be further determined in other ways;
3) when r1 does not exceed the first preset threshold t1, the indoor cell is determined not to have the signal leakage problem.
The embodiment of the invention can set different thresholds according to different scenes, including a building leakage range d, an MDT leakage proportion threshold t1, an MR leakage proportion threshold t2 and the like, can greatly improve the evaluation flexibility by modifying the parameters, and is suitable for various scenes.
Based on any embodiment above, preferably, the method further includes:
generating a checking report based on the judgment result;
and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
Specifically, by using automatically acquired MDT data, MR data, cell engineering parameter data and building geographical position information, a graphical display analysis report in a webpage form is generated based on the analysis and judgment results, a signal leakage analysis result of the whole network of the indoor sub-cells is provided, and information such as an indoor cell identifier, a cell position, building information where the cell is located, an leakage influence macro-cell identifier and the like with a signal leakage problem or a suspected signal leakage problem is displayed, so that a user can conveniently confirm the problem. And prompting the cells with the problems to optimization personnel in various forms such as work orders, short messages, mails and the like for analysis and processing.
According to the embodiment of the invention, through a report mode which is simple and convenient to operate, large-scale software does not need to be installed, complex operation is not needed, data analysis is intelligently carried out, an interactive interface in a webpage form is output, and the display mode is visual and easy to judge.
Fig. 3 is a structural diagram of an indoor signal leakage analysis system based on MDT according to an embodiment of the present invention, as shown in fig. 3, including: an acquisition module 31, an association module 32, a processing module 33 and a judgment module 34; wherein:
the acquisition module 31 is configured to acquire MDT data, MR data, and work parameter data of a target area to be detected, and acquire geographical position information of a building in the target area to be detected; the correlation module 32 is configured to correlate the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data; the processing module 33 is configured to obtain a suspected MDT leakage ratio and a suspected MR leakage ratio of the indoor cell based on the first correlation data, the second correlation data, and the third correlation data; the judging module 34 is configured to obtain a judgment result of whether the indoor cell is a signal leakage cell based on the MDT suspected leakage ratio and the MR suspected leakage ratio.
The system provided by the embodiment of the present invention is used for executing the corresponding method, the specific implementation manner of the system is consistent with the implementation manner of the method, and the related algorithm flow is the same as the algorithm flow of the corresponding method, which is not described herein again.
According to the embodiment of the invention, a large data mining analysis technology is adopted, a series of parameters of the target area to be detected are collected, analyzed and calculated, and indoor cells and affected macro cells with signal leakage and suspected signal leakage are accurately and automatically identified in the whole network mass data in a targeted manner.
Based on any of the above embodiments, the obtaining module 31 includes: a first obtaining submodule 311, a second obtaining submodule 312, a third obtaining submodule 313 and a fourth obtaining submodule 314; wherein:
the first obtaining submodule 311 is configured to collect the MDT data through the network manager of the target area to be detected, and analyze and store a first base station ID, a first master cell RSRP, a first neighbor PCI, and a first neighbor RSRP in the MDT data; the second obtaining sub-module 312 is configured to collect the MR data through the network manager, and analyze and store a second base station ID, a second primary cell RSRP, a second neighboring cell PCI, and a second neighboring cell RSRP in the MR data; the third obtaining submodule 313 is configured to obtain the working parameter data, analyze and store a third base station ID, a cell PCI, a cell longitude, a cell latitude, and an attribute of whether a cell is an indoor cell in the working parameter data; the fourth obtaining sub-module 314 collects the geographical position information of each building boundary in the target area to be detected from the internet, and determines the closed graph range of the building outer boundary.
According to the embodiment of the invention, various network indexes and reference information of the target area to be detected are collected from four dimensions, the collection process adopts system automatic analysis, the data is based on MDT data and MR data which are automatically collected periodically, and the whole network investigation can be carried out at any time based on the geographical information of the building and the accurate positioning characteristic of MDT, so that the optimization analysis efficiency is improved, the comprehensive inspection of multi-dimensional association is realized, and the analysis problem is more comprehensive and accurate.
Based on any of the above embodiments, the association module 32 includes: a first association submodule 321, a second association submodule 322 and a third association submodule 323; wherein:
the first association submodule 321 is configured to take the first base station ID and the third base station ID, and the first primary cell ID and the cell ID as first association fields, respectively, obtain a first preset attribute, and filter MDT data in which an indoor cell is a primary cell, as the first association data; the second association submodule 322 is configured to use the second base station ID and the third base station ID, and the second primary cell ID and the cell ID as a second association field, respectively, obtain a second preset attribute, and filter MR data in which an indoor cell is a primary cell, as the second association data; the third association sub-module 323 is configured to obtain the cell longitude and the cell latitude, and determine to obtain a specific location of the indoor cell based on the cell longitude, the cell latitude, and the building geographic location information, as the third association data.
The embodiment of the invention changes the work which can be completed by a detailed analysis party of the data such as the engineering parameter, the drive test, the complaint and the like by an experienced optimization engineer through realizing the automatic association of the related data without manual participation, has simple operation and reduces the corresponding technical requirements.
Based on any of the above embodiments, the processing module 33 includes: a first processing submodule 331, a second processing submodule 332 and a third processing submodule 333; wherein:
the first processing submodule 331 is configured to traverse all indoor cells of the target area to be measured based on the first association data, the second association data, and the third association data, so as to obtain a building range associated with the indoor cells; the second processing submodule 332 is configured to traverse an MDT sample of an indoor cell in a building range associated with the indoor cell, count the number of sampling points of a position of the MDT sample in a building leakage area, obtain first data of suspected leakage of the indoor cell, use all MDT data strips in the indoor cell as second data, obtain a suspected leakage ratio of the MDT based on the first data and the second data, and obtain PCI information of an outdoor neighboring cell with a strongest RSRP in the first data; the third processing sub-module 333 is configured to obtain all MR data of the indoor cell, count the number of sampling points with the RSRP strength similar to that of the indoor main cell based on the PCI information of the outdoor neighboring cell, count all sampling point data of the indoor cell as third data, and obtain the suspected MR leakage ratio based on the third data and the fourth data.
The embodiment of the invention quantifies the sampling points in the MDT data in a certain specified building leakage range to obtain the leakage proportion, and quantifies the sampling points in the MR data in the strongest outdoor adjacent region in the leakage data to obtain the leakage proportion, thereby providing accurate data support for subsequent screening and judgment, having simple and convenient operation, and efficiently and accurately completing the work that the whole network can not be identified due to large workload in the past.
Based on any of the above embodiments, the determining module 34 includes: a first judgment sub-module 341, a second judgment sub-module 342, and a third judgment sub-module 343; wherein:
the first determining submodule 341 is configured to determine that the indoor cell has a signal leakage problem and the neighbor macrocell PCI is an affected cell if it is determined that the suspected MDT leakage ratio is greater than a first preset threshold and the suspected MR leakage ratio is greater than a second preset threshold; the second determining sub-module 342 is configured to determine that the indoor cell is a suspected affected cell if it is determined that the suspected MDT leakage ratio is greater than a first preset threshold and the suspected MR leakage ratio is smaller than a second preset threshold; the third determining sub-module 343 is configured to determine that the indoor cell does not have the signal leakage problem if it is determined that the suspected MDT leakage ratio is smaller than the first preset threshold.
The embodiment of the invention can set different thresholds according to different scenes, including a building leakage range d, an MDT leakage proportion threshold t1, an MR leakage proportion threshold t2 and the like, can greatly improve the evaluation flexibility by modifying the parameters, and is suitable for various scenes.
Based on any of the above embodiments, the system further includes a reporting module 35, where the reporting module 35 is configured to generate a check report based on the determination result; and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
According to the embodiment of the invention, through a report mode which is simple and convenient to operate, large-scale software does not need to be installed, complex operation is not needed, data analysis is intelligently carried out, an interactive interface in a webpage form is output, and the display mode is visual and easy to judge.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may call logic instructions in the memory 430 to perform the following method: acquiring MDT data, MR data and engineering parameter data of a target area to be detected, and acquiring building geographical position information in the target area to be detected; correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data; obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data; and obtaining a judgment result whether the indoor cell is the signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. 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.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring MDT data, MR data and engineering parameter data of a target area to be detected, and acquiring building geographical position information in the target area to be detected; correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data; obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data; and obtaining a judgment result whether the indoor cell is the signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion.
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.
Claims (8)
1. An indoor signal leakage analysis method based on MDT is characterized by comprising the following steps:
acquiring MDT data, MR data and engineering parameter data of a target area to be detected, and acquiring building geographical position information in the target area to be detected;
correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data;
obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data;
obtaining a judgment result whether the indoor cell is a signal leakage cell or not based on the MDT suspected leakage proportion and the MR suspected leakage proportion;
the method for acquiring the MDT data, the MR data and the work parameter data of the target area to be detected and acquiring the building geographical position information in the target area to be detected specifically comprises the following steps:
acquiring the MDT data through a network manager of the target area to be detected, and analyzing and storing a first base station ID, a first main cell RSRP, a first adjacent cell PCI and a first adjacent cell RSRP in the MDT data;
acquiring the MR data through the network manager, and analyzing and storing a second base station ID, a second main cell RSRP, a second adjacent cell PCI and a second adjacent cell RSRP in the MR data;
acquiring the working parameter data, analyzing and storing attributes of a third base station ID, a cell PCI, a cell longitude, a cell latitude and whether the cell is an indoor cell in the working parameter data;
collecting geographical position information of each building boundary in the target area to be detected from the Internet, and determining a building outer boundary closed graph range;
associating the MDT data with the working parameter data to obtain first associated data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data, which specifically comprises the following steps:
respectively taking the first base station ID and the third base station ID as well as the first main cell ID and the cell ID as first associated fields, acquiring a first preset attribute, and screening MDT data taking an indoor cell as a main cell to serve as the first associated data; the first preset attribute is specifically whether the cell is an indoor cell based on MDT data;
respectively taking the second base station ID and the third base station ID as well as the second main cell ID and the cell ID as second associated fields, acquiring a second preset attribute, and screening MR data taking an indoor cell as a main cell to be taken as second associated data; the second preset attribute is specifically whether the second preset attribute is an indoor cell based on MR data;
and acquiring the cell longitude and the cell latitude, and judging and acquiring the specific position of the indoor cell as the third associated data based on the cell longitude, the cell latitude and the building geographic position information.
2. The method according to claim 1, wherein the obtaining the MDT suspected leakage ratio and the MR suspected leakage ratio of the indoor cell based on the first correlation data, the second correlation data, and the third correlation data specifically includes:
traversing all indoor cells of the target area to be detected based on the first correlation data, the second correlation data and the third correlation data to obtain building ranges associated with the indoor cells;
traversing MDT samples of indoor cells in a building range associated with the indoor cells, counting the number of sampling points of the positions of the MDT samples in a building leakage area to obtain first data suspected of leakage of the indoor cells, taking all the MDT data in the indoor cells as second data, obtaining the suspected leakage proportion of the MDT based on the first data and the second data, and obtaining the PCI information of outdoor neighbor cells with the strongest RSRP in the first data;
acquiring all MR data of the indoor cell, counting the number of sampling points with the similar strength of the RSRP of the outdoor neighboring cell and the RSRP of the indoor main cell based on the PCI information of the outdoor neighboring cell, taking the number as third data, counting all the sampling point data of the indoor cell as fourth data, and obtaining the suspected leakage proportion of the MR based on the third data and the fourth data.
3. The method according to claim 2, wherein the obtaining of the result of determining whether the indoor cell is a cell with signal leakage based on the MDT suspected leakage ratio and the MR suspected leakage ratio specifically comprises:
if the MDT suspected leakage ratio is larger than a first preset threshold and the MR suspected leakage ratio is larger than a second preset threshold, judging that the indoor cell has a signal leakage problem and the PCI of the macro cell of the neighbor cell is an affected cell;
if the suspected MDT leakage ratio is larger than a first preset threshold and the suspected MR leakage ratio is smaller than a second preset threshold, the indoor cell is judged to be a suspected affected cell;
and if the suspected MDT leakage ratio is smaller than a first preset threshold, judging that the indoor cell has no signal leakage problem.
4. The MDT-based indoor signal leakage analysis method according to any one of claims 1 to 3, further comprising:
generating a checking report based on the judgment result;
and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
5. An indoor signal leakage analysis system based on MDT, comprising:
the acquisition module is used for acquiring MDT data, MR data and engineering parameter data of a target area to be detected and acquiring building geographical position information in the target area to be detected;
the correlation module is used for correlating the MDT data with the working parameter data to obtain first correlation data; correlating the MR data with the working parameter data to obtain second correlation data; associating the work parameter data with the building geographical position information to obtain third associated data;
the processing module is used for obtaining the MDT suspected leakage proportion and the MR suspected leakage proportion of the indoor cell based on the first correlation data, the second correlation data and the third correlation data;
a judging module, configured to obtain a judgment result of whether the indoor cell is a signal leakage cell based on the MDT suspected leakage ratio and the MR suspected leakage ratio;
the acquisition module includes: the system comprises a first obtaining submodule, a second obtaining submodule, a third obtaining submodule and a fourth obtaining submodule; wherein:
the first acquisition submodule is used for acquiring the MDT data through the network manager of the target area to be detected, and analyzing and storing a first base station ID, a first main cell RSRP, a first adjacent cell PCI and a first adjacent cell RSRP in the MDT data;
the second acquisition submodule is used for acquiring the MR data through the network manager, and analyzing and storing a second base station ID, a second main cell RSRP, a second adjacent cell PCI and a second adjacent cell RSRP in the MR data;
the third obtaining submodule is used for obtaining the working parameter data, and analyzing and storing attributes of a third base station ID, a cell PCI, a cell longitude, a cell latitude and whether the cell is an indoor cell in the working parameter data;
the fourth acquisition submodule acquires the geographical position information of each building boundary in the target area to be detected from the internet and determines the closed graph range of the building outer boundary;
the association module comprises: a first correlation submodule, a second correlation submodule and a third correlation submodule; wherein:
the first association submodule is used for respectively taking the first base station ID and the third base station ID as well as the first main cell ID and the cell ID as first association fields to acquire a first preset attribute, and screening MDT data taking an indoor cell as a main cell to be taken as first association data; the first preset attribute is specifically whether the cell is an indoor cell based on MDT data;
the second association submodule is used for respectively taking the second base station ID and the third base station ID as well as the second main cell ID and the cell ID as second association fields, acquiring a second preset attribute, and screening MR data taking an indoor cell as a main cell to be taken as second association data; the second preset attribute is specifically whether the second preset attribute is an indoor cell based on MR data;
and the third association submodule is used for acquiring the cell longitude and the cell latitude, and judging and acquiring the specific position of the indoor cell as the third association data based on the cell longitude, the cell latitude and the building geographic position information.
6. The MDT-based indoor signal leakage analysis system of claim 5, further comprising:
the report module is used for generating a checking report based on the judgment result; and providing a signal leakage analysis result of the indoor sub-cell of the target area to be detected to a user based on the check report.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the MDT based indoor signal leakage analysis method according to any one of claims 1 to 4.
8. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the MDT based indoor signal leakage analysis method according to any one of claims 1 to 4.
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| PCT/CN2020/101823 WO2021103577A1 (en) | 2019-11-27 | 2020-07-14 | Mdt-based indoor signal leakage analysis method and system |
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| CN111405598A (en) * | 2020-03-10 | 2020-07-10 | 中国联合网络通信集团有限公司 | Indoor distribution signal leakage detection method and equipment |
| CN111669699B (en) * | 2020-05-19 | 2022-07-19 | 国家计算机网络与信息安全管理中心 | Positioning method based on mobile network, computer equipment and storage medium |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103052104A (en) * | 2011-10-11 | 2013-04-17 | 华为技术有限公司 | Indoor distributed signal leakage check method and device |
| CN103929762A (en) * | 2014-04-25 | 2014-07-16 | 中国联合网络通信集团有限公司 | Leakage inspection method and device for cell signals |
| CN107580337A (en) * | 2016-07-05 | 2018-01-12 | 中兴通讯股份有限公司 | Hot spot area identification method and device |
| CN109996272A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团四川有限公司 | Exceptionally let out detection method, device, equipment and the medium of signal in room |
| CN110418285A (en) * | 2018-04-26 | 2019-11-05 | 中移(苏州)软件技术有限公司 | A kind of method for building up and device of radio map |
| CN110446225A (en) * | 2019-08-12 | 2019-11-12 | 北京拓明科技有限公司 | Judgment method, device and the medium that room sub-signal leaks with the invasion of macro station signal |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103458434B (en) * | 2012-05-30 | 2017-04-12 | 华为技术服务有限公司 | Method and device for determining antenna feeder parameters |
| EP2874425A4 (en) * | 2012-08-29 | 2015-09-23 | Huawei Tech Co Ltd | Method, device and system for detecting indoor cell leakage |
| EP2706815A1 (en) * | 2012-09-07 | 2014-03-12 | NEC Corporation, Incorporated in Japan | Method and system for relaying in a telecommunication network |
| CN108924731B (en) * | 2017-04-20 | 2020-11-20 | 中国移动通信集团湖北有限公司 | Method and device for positioning signal leakage antenna node |
| CN109429264B (en) * | 2017-08-28 | 2022-04-29 | 中国移动通信有限公司研究院 | Data processing method, device, equipment and computer readable storage medium |
| CN109996186B (en) * | 2017-12-29 | 2021-02-26 | 中国移动通信集团陕西有限公司 | Network coverage problem identification method and device and readable storage medium |
| CN110691369B (en) * | 2019-11-27 | 2021-06-04 | 北京天元创新科技有限公司 | Indoor signal leakage analysis method and system based on MDT |
-
2019
- 2019-11-27 CN CN201911182891.6A patent/CN110691369B/en active Active
-
2020
- 2020-07-14 WO PCT/CN2020/101823 patent/WO2021103577A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103052104A (en) * | 2011-10-11 | 2013-04-17 | 华为技术有限公司 | Indoor distributed signal leakage check method and device |
| CN103929762A (en) * | 2014-04-25 | 2014-07-16 | 中国联合网络通信集团有限公司 | Leakage inspection method and device for cell signals |
| CN107580337A (en) * | 2016-07-05 | 2018-01-12 | 中兴通讯股份有限公司 | Hot spot area identification method and device |
| CN109996272A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团四川有限公司 | Exceptionally let out detection method, device, equipment and the medium of signal in room |
| CN110418285A (en) * | 2018-04-26 | 2019-11-05 | 中移(苏州)软件技术有限公司 | A kind of method for building up and device of radio map |
| CN110446225A (en) * | 2019-08-12 | 2019-11-12 | 北京拓明科技有限公司 | Judgment method, device and the medium that room sub-signal leaks with the invasion of macro station signal |
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