WO2021103577A1 - Procédé et système d'analyse de fuite de signal d'intérieur basée sur mdt - Google Patents

Procédé et système d'analyse de fuite de signal d'intérieur basée sur mdt Download PDF

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WO2021103577A1
WO2021103577A1 PCT/CN2020/101823 CN2020101823W WO2021103577A1 WO 2021103577 A1 WO2021103577 A1 WO 2021103577A1 CN 2020101823 W CN2020101823 W CN 2020101823W WO 2021103577 A1 WO2021103577 A1 WO 2021103577A1
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data
cell
mdt
indoor
suspected
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PCT/CN2020/101823
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English (en)
Chinese (zh)
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王宏科
李加蕾
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北京天元创新科技有限公司
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Publication of WO2021103577A1 publication Critical patent/WO2021103577A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

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  • This application relates to the field of big data technology, and in particular to a method and system for analyzing indoor signal leakage based on MDT.
  • the 4G network coverage in the mobile network has been relatively complete, especially the signal quality of the outdoor coverage inside the city is relatively good, but on the streets and roads close to the buildings, the problems of dropped calls and poor call quality are often encountered, which seriously affects users Perception, this situation is mostly caused by indoor signal leakage.
  • indoor signals should mainly cover indoor areas, and outdoor coverage is undertaken by macro cells.
  • the strength of indoor signals must be controlled at the periphery of the building to prevent indoor signals from leaking to the outdoors, thereby ensuring that outdoor terminals preferentially access outdoor macro cells.
  • the drive test trigger method is generally to conduct a unified test in the initial stage of indoor distribution construction, and then conduct it on demand. Once the surrounding situation changes later, it cannot be found in time, and the drive test verification area is limited, so it is impossible to conduct frequent network-wide investigations;
  • the complaint trigger method is to conduct a fixed-point analysis based on the complaint location. If the location has been complained many times and the problem is similar, and at the same time in the peripheral edge area of the building, it may be the cause of the indoor signal leakage. The indoor and outdoor signals in this area are measured to determine whether the indoor cell signal leaks to the peripheral area.
  • the limitation of this method is that it can only be used to deal with the problem after it occurs, and it cannot conduct pre-existing network-wide investigations.
  • the embodiments of the present application provide an MDT-based indoor signal leakage analysis method and system to solve the defects of low analysis and recognition accuracy in the prior art, and excessive reliance on manual labor, resulting in low efficiency.
  • an MDT-based indoor signal leakage analysis method including:
  • the acquiring MDT data, MR data, and industrial parameter data of the target area to be tested, and acquiring the geographic location information of the building in the target area to be tested specifically includes:
  • Collect the MR data through the network management, analyze and store the second base station ID, the second primary cell ID, the second primary cell RSRP, the second neighboring cell PCI, and the second neighboring RSRP in the MR data;
  • the geographic location information of each building boundary in the target area to be tested is collected from the Internet, and the enclosed graphic range of the outer boundary of the building is determined.
  • said associating said MDT data with said industrial parameter data to obtain first associated data; associating said MR data with said industrial parameter data to obtain second associated data; and combining said industrial parameter data with The geographic location information of the building is associated to obtain the third associated data, which specifically includes:
  • the first base station ID and the third base station ID, as well as the first primary cell ID and the cell ID are respectively used as the second correlation field, the second preset attribute is acquired, and the indoor cell is the MR of the primary cell. Data is filtered as the second associated data;
  • the obtaining the suspected MDT leakage rate and the MR suspected leakage rate of the indoor cell based on the first associated data, the second associated data, and the third associated data specifically includes:
  • the second associated data, and the third associated data traverse all indoor cells in the target area to be tested to obtain the building range associated with the indoor cells;
  • the indoor cell traverse the MDT samples of the indoor cell, count the number of sampling points where the MDT sample is located in the leakage area of the building, and obtain the first data suspected of leaking in the indoor cell.
  • the number of all MDT data items in the indoor cell is used as the second data, the proportion of suspected MDT leaks is obtained based on the first data and the second data, and the one with the strongest RSRP in the first data is obtained PCI information of outdoor neighboring area;
  • the obtaining the 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 specifically includes:
  • the method further includes:
  • the signal leakage analysis result of the indoor cell of the target area to be tested is provided to the user.
  • an MDT-based indoor signal leakage analysis system including:
  • the acquisition module is configured to acquire the MDT data, MR data and industrial parameter data of the target area to be tested, and to acquire the geographic location information of the building in the target area to be tested;
  • the association module is configured to associate the MDT data with the industrial parameter data to obtain first associated data; associate the MR data with the industrial parameter data to obtain second associated data; and associate the industrial parameter data with The geographic location information of the building is associated to obtain third associated data;
  • a processing module configured to obtain the suspected leakage rate of MDT and the suspected leakage rate of MR of the indoor cell based on the first associated data, the second associated data, and the third associated data;
  • the judgment module is configured to obtain a judgment result of whether the indoor cell is a signal leakage cell based on the suspected leakage ratio of MDT and the suspected leakage ratio of MR.
  • the system further includes:
  • the reporting module is configured to generate a verification report based on the judgment result; and provide the user with a signal leakage analysis result of the indoor cell in the target area to be tested based on the verification report.
  • an electronic device including:
  • an embodiment of the present application provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, it implements any of the MDT-based indoor signal leakage analysis methods A step of.
  • the MDT-based indoor signal leakage analysis method and system provided in the embodiments of this application uses big data mining and analysis technology to accurately and accurately identify indoor signal leakage and suspected signal leakage indoors in the massive data of the entire network. Cells and affected macro cells.
  • Fig. 1 is a flowchart of an algorithm for analyzing signaling leakage based on MDT and MR big data provided by an embodiment of the application;
  • FIG. 3 is a structural diagram of an indoor signal leakage analysis system based on MDT provided by an embodiment of the application;
  • Fig. 4 is a structural block diagram of an electronic device provided by an embodiment of the application.
  • the embodiments of this application are based on 4G MDT data, 4G MR data, building information, and 4G cell industrial parameter data, based on the precise positioning capability of MDT, combined with the sampling point ratio of industrial parameters and MR data for comprehensive analysis, to identify indoor signal leakage areas And severity, and generate an analysis report.
  • the overall algorithm flow chart of the embodiment of this application is shown in Figure 1.
  • Fig. 2 is a flowchart of an indoor signal leakage analysis method based on MDT provided by an embodiment of the application, as shown in Fig. 2, including:
  • S1 Obtain the MDT data, MR data, and industrial parameter data of the target area to be tested, and obtain the geographic location information of the building in the target area to be tested;
  • S3 Obtain the suspected leakage rate of MDT and the suspected leakage rate of MR of the indoor cell based on the first associated data, the second associated data, and the third associated data;
  • step S1 first collect the user's 4G MDT (Minimization of Drive-tests) data, 4G MR (Measurement Report) data, 4G industrial parameter data, and detailed building geographic information data within the target area to be tested;
  • 4G MDT Minimum of Drive-tests
  • 4G MR Measurement Report
  • step S2 after obtaining the above-mentioned various reference data, the MDT data is associated with the industrial parameter data, and the corresponding target data is selected as the first associated data, and then the MR data is associated with the industrial parameter data to filter out The corresponding target data is used as the second associated data, and finally the industrial parameter data is associated with the geographic location information of the building, and the corresponding target data is also filtered out as the third associated data;
  • step S3 based on the first, second, and third associated data obtained in step S2, perform indoor signal leakage analysis, and calculate the suspected leakage rate of MDT and the suspected leakage rate of MR;
  • step S4 based on the suspected leakage ratio of MDT and the suspected leakage ratio of MR obtained in step S3, the signal leakage problem is determined according to the big data statistical analysis, and the corresponding determination threshold threshold is set to obtain whether the indoor cell is It is the judgment result of the signal leakage cell.
  • the embodiment of this application uses big data mining and analysis technology to collect and analyze and calculate a series of parameters of the target area to be measured, and accurately and accurately identify indoor cells with signal leakage and suspected signal leakage in the massive data of the entire network. And the affected macro cell.
  • the acquiring MDT data, MR data, and industrial parameter data of the target area to be tested, and acquiring the geographic location information of the building in the target area to be tested specifically includes:
  • Collect the MR data through the network management, analyze and store the second base station ID, the second primary cell ID, the second primary cell RSRP, the second neighboring cell PCI, and the second neighboring RSRP in the MR data;
  • the geographic location information of each building boundary in the target area to be tested is collected from the Internet, and the enclosed graphic range of the outer boundary of the building is determined.
  • the first step is to install a collection program to collect 4G MDT data of the target area to be tested from the network management OMC system, and combine the first base station ID, first primary cell ID, and first primary cell ID. Analysis and storage of RSRP information of the primary cell, PCI of the first neighboring cell, and RSRP of the first neighboring cell;
  • the industrial parameter data is generally maintained by the operator.
  • the third base station ID, cell ID, cell PCI, cell longitude, cell latitude, and whether the cell is indoor cell attributes are analyzed and stored;
  • the geographic location information of each building boundary is collected from the Internet to determine the closed graphic range of the outer boundary of the building.
  • the embodiment of the application collects various network indicators and reference information of the target area to be tested from four dimensions.
  • the collection process adopts automatic analysis of the system.
  • the data is based on the MDT data and MR data automatically collected periodically, and is based on the geographic information of the building and the accuracy of the MDT.
  • the feature of positioning can perform network-wide investigations at any time, improve the efficiency of optimization analysis, and realize multi-dimensional correlation for comprehensive verification, making analysis problems more comprehensive and accurate.
  • the MDT data is associated with the industrial parameter data to obtain first associated data;
  • the MR data is associated with the industrial parameter data to obtain second associated data;
  • the industrial parameter data is associated with the geographic location information of the building to obtain the third associated data, which specifically includes:
  • the first base station ID and the third base station ID, as well as the first primary cell ID and the cell ID are respectively used as the second correlation field, the second preset attribute is acquired, and the indoor cell is the MR of the primary cell. Data is filtered as the second associated data;
  • multi-dimensional analysis of data is used as a basis for data screening and association.
  • the first step is to associate the MDT data with the industrial parameter data, the associated fields are the base station ID and the cell ID, and the correlation is obtained to obtain the "indoor cell” attribute, and the indoor cell is screened out for the MDT data of the main cell;
  • the second step is to associate the MR data with the industrial parameter data, the associated fields are the base station ID and the cell ID, and the correlation is obtained to obtain the "indoor cell” attribute, and the MR data of the indoor cell as the main cell is screened out;
  • the third step is to associate the indoor cell in the industrial parameters with the geographic information of the building.
  • the correlation method is to take the latitude and longitude information of the indoor cell and determine which building is in the closed graph, which means that the indoor cell is a cell in the building. The association between the community and the building.
  • the embodiment of the application realizes the automatic association of related data without manual participation, and changes the work that an experienced optimization engineer can perform detailed analysis of data such as industrial parameters, drive tests, and complaints in the past.
  • the operation is simple, and the corresponding reduction is reduced.
  • the obtaining the suspected MDT leakage rate and the MR suspected leakage rate of the indoor cell based on the first associated data, the second associated data, and the third associated data specifically includes:
  • the second associated data, and the third associated data traverse all indoor cells in the target area to be tested to obtain the building range associated with the indoor cells;
  • the indoor cell traverse the MDT samples of the indoor cell, count the number of sampling points where the MDT sample is located in the leakage area of the building, and obtain the first data suspected of leaking in the indoor cell.
  • the number of all MDT data items in the indoor cell is used as the second data, the proportion of suspected MDT leaks is obtained based on the first data and the second data, and the one with the strongest RSRP in the first data is obtained PCI information of outdoor neighboring area;
  • all indoor cells are traversed, and the area of the building associated with the cell is obtained based on the associated data in the above-mentioned embodiment, and the MDT sample of the cell is traversed, and the location of the MDT sample is located in the leakage area of the building (here, the leakage area refers to the distance from the building).
  • the distance range of the outer surface of the object is represented by d.
  • the threshold can be set, for example, 6db
  • the embodiment of this application quantifies the sampling points in the MDT data within a certain specified building leakage range to obtain the leakage ratio, and quantifies the sampling points in the MR data in the outdoor neighboring area with the strongest leakage data.
  • the leakage ratio provides accurate data support for subsequent screening and judgment, and it is easy to operate. The work that could not be identified on the entire network due to the large workload can be completed efficiently and accurately in a short time.
  • the obtaining the judgment result of whether the indoor cell is a signal leakage cell based on the suspected leakage ratio of MDT and the suspected leakage ratio of MR specifically includes:
  • the embodiment of this application can set different thresholds according to different scenarios, including building leakage range d, MDT leakage ratio threshold t1, MR leakage ratio threshold t2, etc. By modifying these parameters, the evaluation flexibility can be greatly improved, and it is applicable In all kinds of scenes.
  • the method further includes:
  • the signal leakage analysis result of the indoor cell of the target area to be tested is provided to the user.
  • a graphical display analysis report in the form of a web page is generated to provide signal leakage analysis of the entire network.
  • information such as indoor cell identification, cell location, building information of the cell, and the identification of the macro cell affected by the leakage are displayed for signal leakage problems or suspected signal leakage problems, so that users can easily confirm the problem.
  • communities that are confirmed to be problematic they can be prompted to optimizers through work orders, text messages, emails and other forms for analysis and processing.
  • the embodiment of the application adopts a simple operation report mode, does not need to install large-scale software, does not require complicated operations, performs data analysis intelligently, and outputs an interactive interface in the form of a web page, and the display mode is intuitive and easy to judge.
  • Fig. 3 is a structural diagram of an indoor signal leakage analysis system based on MDT provided by an embodiment of the application. As shown in Fig. 3, it includes: an acquisition module 31, an association module 32, a processing module 33, and a judgment module 34; among them:
  • the obtaining module 31 is configured to obtain MDT data, MR data, and industrial parameter data of the target area to be tested, and to obtain geographic location information of the building in the target area to be tested;
  • the correlation module 32 is configured to associate the MDT data with the industrial parameter data Associate to obtain first associated data; associate the MR data with the industrial parameter data to obtain second associated data; associate the industrial parameter data with the building geographic location information to obtain third associated data;
  • process The module 33 is configured to obtain the suspected MDT leakage ratio and the MR suspected leakage ratio of the indoor cell based on the first associated data, the second associated data, and the third associated data;
  • the judgment module 34 is configured to obtain the suspected leakage ratio of MDT and the MR suspected leakage of the indoor cell based on the first associated data, the second associated data, and the third associated data;
  • the ratio of suspected leakage of MDT and the ratio of suspected leakage of MR are obtained to determine whether the indoor cell is a signal leakage cell.
  • the embodiment of this application uses big data mining and analysis technology to collect and analyze and calculate a series of parameters of the target area to be measured, and accurately and accurately identify indoor cells with signal leakage and suspected signal leakage in the massive data of the entire network. And the affected macro cell.
  • the acquisition module 31 includes: a first acquisition sub-module 311, a second acquisition sub-module 312, a third acquisition sub-module 313, and a fourth acquisition sub-module 314, wherein:
  • the first acquisition sub-module 311 is configured to collect the MDT data through the network management of the target area to be tested, and combine the first base station ID, the first primary cell ID, the first primary cell RSRP, and the first primary cell ID in the MDT data.
  • the PCI of the neighboring cell and the RSRP of the first neighboring cell are parsed and stored;
  • the second acquiring submodule 312 is configured to collect the MR data through the network management, and combine the second base station ID and the second primary cell ID in the MR data.
  • the second primary cell RSRP, the second neighboring cell PCI, and the second neighboring cell RSRP are analyzed and stored;
  • the third acquisition sub-module 313 is configured to acquire the industrial parameter data, and compare the third base station in the industrial parameter data ID, cell ID, cell PCI, cell longitude, cell latitude, and attributes of whether the cell is an indoor cell are analyzed and stored;
  • the fourth acquisition sub-module 314 is configured to collect information from the Internet for each building boundary in the target area to be tested Geographical location information determines the enclosed graphic range of the outer boundary of the building.
  • the embodiment of the application collects various network indicators and reference information of the target area to be tested from four dimensions.
  • the collection process adopts automatic analysis of the system.
  • the data is based on the MDT data and MR data automatically collected periodically, and is based on the geographic information of the building and the accuracy of the MDT.
  • the feature of positioning can perform network-wide investigations at any time, improve the efficiency of optimization analysis, and realize multi-dimensional correlation for comprehensive verification, making analysis problems more comprehensive and accurate.
  • the correlation module 32 includes: a first correlation submodule 321, a second correlation submodule 322, and a third correlation submodule 323; wherein:
  • the first association submodule 321 is configured to use 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, to obtain a first preset attribute , Filter the MDT data of the indoor cell as the primary cell as the first association data;
  • the second association sub-module 322 is configured to separately set the first base station ID, the third base station ID, and the second base station ID;
  • a primary cell ID and the cell ID are used as the second correlation field, the second preset attribute is acquired, and the MR data of the indoor cell of the primary cell is filtered as the second correlation data;
  • the third correlation submodule 323 is configured In order to obtain the longitude of the cell and the latitude of the cell, based on the longitude of the cell, the latitude of the cell, and the geographic location information of the building, determine and obtain the specific location of the indoor cell as the third associated data.
  • the embodiment of the application realizes the automatic association of related data without manual participation, and changes the work that an experienced optimization engineer can perform detailed analysis of data such as industrial parameters, drive tests, and complaints in the past.
  • the operation is simple, and the corresponding reduction is reduced.
  • the processing module 33 includes: a first processing sub-module 331, a second processing sub-module 332, and a third processing sub-module 333; wherein:
  • the first processing submodule 331 is configured to traverse all indoor cells in the target area to be tested based on the first associated data, the second associated data, and the third associated data to obtain the building range associated with the indoor cell
  • the second processing sub-module 332 is configured to traverse the MDT samples of the indoor cell within the range of the building associated with the indoor cell, and count the number of sampling points at the location of the MDT sample in the leakage area of the building to obtain the indoor cell If there is first data that is suspected to be leaked, the number of all MDT data in the indoor cell is used as the second data, and the proportion of suspected MDT leaks is obtained based on the first data and the second data, and all the data are obtained.
  • the number of sampling points with similar RSRP intensities in the indoor primary cell is used as the third data to count all the sampling point data of the indoor cell as the fourth data, and the MR suspected external data is obtained based on the third data and the fourth data. Vent ratio.
  • the embodiment of this application quantifies the sampling points in the MDT data within a certain specified building leakage range to obtain the leakage ratio, and quantifies the sampling points in the MR data in the outdoor neighboring area with the strongest leakage data.
  • the leakage ratio provides accurate data support for subsequent screening and judgment, and it is easy to operate. The work that could not be identified on the entire network due to the large workload can be completed efficiently and accurately in a short time.
  • the judgment 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 determination sub-module 341 is configured to determine that if the proportion of suspected MDT leakage is greater than a first preset threshold, and the proportion of suspected MR leakage is greater than a second preset threshold, determine that there is an out-of-signal in the indoor cell.
  • the PCI of the neighboring cell macro cell is the affected cell;
  • the second judgment sub-module 342 is configured to determine that if the ratio of suspected MDT leakage is greater than the first preset threshold, and the ratio of suspected MR leakage is less than the second A preset threshold is used to determine that the indoor cell is a suspected affected cell;
  • the third determining sub-module 343 is configured to determine that the indoor cell does not exist if it is determined that the proportion of suspected MDT leakage is less than the first preset threshold Signal leakage problem.
  • the embodiment of this application can set different thresholds according to different scenarios, including building leakage range d, MDT leakage ratio threshold t1, MR leakage ratio threshold t2, etc. By modifying these parameters, the evaluation flexibility can be greatly improved, and it is applicable In all kinds of scenes.
  • the system further includes a reporting module 35 configured to generate a verification report based on the judgment result; and provide the user with the room score of the target area to be tested based on the verification report The signal leakage analysis result of the cell.
  • the embodiment of the application adopts a simple operation report mode, does not need to install large-scale software, does not require complicated operations, performs data analysis intelligently, and outputs an interactive interface in the form of a web page, and the display mode is intuitive and easy to judge.
  • FIG. 4 illustrates a schematic diagram of the physical structure of an electronic device.
  • the electronic device may include: a processor 410, a communication interface 420, a memory (memory) 430, and a communication bus 440, Among them, the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440.
  • the processor 410 can call the logic instructions in the memory 430 to execute the following method: obtain the MDT data, MR data, and industrial parameter data of the target area to be tested, and obtain the geographic location information of the building in the target area to be tested; Associate the data with the industrial parameter data to obtain first associated data; associate the MR data with the industrial parameter data to obtain second associated data; associate the industrial parameter data with the building geographic location information, Obtain third associated data; based on the first associated data, the second associated data, and the third associated data, obtain the percentage of suspected MDT leaks and the percentage of suspected MR leaks of indoor cells; based on the suspected external MDT The leakage ratio and the MR suspected leakage ratio are used to obtain a judgment result of whether the indoor cell is a signal leakage cell.
  • the aforementioned logic instructions in the memory 430 can be implemented in the form of software functional units and when sold or used as independent products, they can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a computer software product, and the computer software product is stored in a storage medium. It includes several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other media that can store program codes. .
  • the embodiments of the present application also provide a non-transitory computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the computer program is implemented to perform the transmission methods provided in the foregoing embodiments, for example, including : Obtain the MDT data, MR data, and industrial parameter data of the target area to be tested, and obtain the geographic location information of the building in the target area to be tested; associate the MDT data with the industrial parameter data to obtain the first associated data;
  • the MR data is associated with the industrial parameter data to obtain second associated data;
  • the industrial parameter data is associated with the building geographic location information to obtain third associated data; based on the first associated data, the The second associated data and the third associated data obtain the MDT suspected leaking ratio and the MR suspected leaking ratio of the indoor cell; based on the MDT suspected leaking ratio and the MR suspected leaking ratio, the indoor cell is obtained Whether it is the judgment result of the signal leakage cell.
  • the device embodiments described above are merely illustrative, where the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One location, or it can be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments. A person of ordinary skill in the art can understand and implement the technical solution of the present application without creative work.
  • each implementation manner can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware.
  • the above technical solution essentially or the part that contributes to the existing technology can be embodied in the form of a computer software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, A magnetic disk, an optical disk, etc., include several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiment.

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Abstract

Des modes de réalisation de la présente demande concernent un procédé et un système d'analyse de fuite de signal d'intérieur basée sur MDT. Le procédé consiste : à obtenir des données MDT, des données MR et des données de paramètre de fonctionnement, et à obtenir des informations d'emplacement géographique de bâtiment dans une zone cible à tester ; à associer les données MDT aux données de paramètre de fonctionnement de manière à obtenir des premières données associées ; à associer les données MR aux données de paramètre de fonctionnement de manière à obtenir des deuxièmes données associées ; à associer les données de paramètre de fonctionnement aux informations d'emplacement géographique de bâtiment de manière à obtenir des troisièmes données associées ; à obtenir une proportion de fuite soupçonnée de MDT et une proportion de fuite soupçonnée de MR d'une cellule d'intérieur sur la base des premières à troisièmes données associées ; et à obtenir, sur la proportion de fuite soupçonnée de MDT et la proportion de fuite soupçonnée de MR, un résultat de détermination indiquant si la cellule d'intérieur est une cellule de fuite de signal. Selon les modes de réalisation de la présente demande, une technologie d'analyse d'exploration de mégadonnées est employée afin d'identifier précisément et automatiquement des cellules d'intérieur dans lesquelles une fuite de signal et une fuite de signal soupçonnée se produisent ainsi que des macro-cellules altérées dans des données de masse de l'ensemble du réseau.
PCT/CN2020/101823 2019-11-27 2020-07-14 Procédé et système d'analyse de fuite de signal d'intérieur basée sur mdt WO2021103577A1 (fr)

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CN110691369B (zh) * 2019-11-27 2021-06-04 北京天元创新科技有限公司 一种基于mdt的室内信号外泄分析方法及系统
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