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CN-121985291-A - Construction method of indoor 5G three-dimensional fingerprint library and related equipment

CN121985291ACN 121985291 ACN121985291 ACN 121985291ACN-121985291-A

Abstract

The embodiment of the application discloses a construction method and related equipment of an indoor 5G three-dimensional fingerprint library, which are used for solving the core problems that a 5G network lacks direct position reporting functions such as MDT and the like and a traditional fingerprint library cannot be related to a real user position. The method comprises the steps of obtaining measurement report original MRO data and corresponding signaling data of a 5G network, analyzing to obtain wireless signal characteristics of a user identifier, a service cell and a neighbor cell, obtaining actual position information of the user, associating the actual position information of the user with the user identifier, distinguishing indoor and outdoor sampling points based on the wireless signal characteristics, determining a critical point of the user entering and exiting the indoor according to abrupt change of wireless signal intensity when the user enters and exits the indoor, and constructing an indoor 5G three-dimensional fingerprint library corresponding to a building, a unit and a floor based on the position information of the critical point and the actual position information of the user.

Inventors

  • TIAN GUIBIN
  • Li Shentie
  • LIU CHENJI
  • Xiang Zhongqiu
  • LIU QIHAO
  • WANG YUNJING
  • QIN GANG
  • ZHAO PEI
  • JIANG SHUMIN
  • YAN YAOFEI
  • ZHU QIANG
  • DING ZHIGANG
  • LI JUN
  • LIU QIANG
  • ZHAO JUNKAI

Assignees

  • 中国移动通信集团设计院有限公司
  • 中国移动通信集团有限公司

Dates

Publication Date
20260505
Application Date
20260202

Claims (10)

  1. 1. The method for constructing the indoor 5G three-dimensional fingerprint library is characterized by comprising the following steps of: acquiring measurement report original MRO data and corresponding signaling data of a 5G network, and analyzing to obtain user identification, wireless signal characteristics of a serving cell and a neighbor cell; Acquiring user actual position information, and associating the user actual position information with the user identifier; Based on the wireless signal characteristics, distinguishing indoor and outdoor sampling points, and determining a critical point of a user entering and exiting the room according to the mutation of the wireless signal intensity when the user enters and exits the room; And constructing an indoor 5G three-dimensional fingerprint library corresponding to the building, the unit and the floor based on the position information of the critical point and the actual position information of the user.
  2. 2. The method for constructing an indoor 5G three-dimensional fingerprint library according to claim 1, wherein the acquiring actual location information of the user comprises: acquiring B domain data of a user, wherein the B domain data at least comprises a user identifier, a building corresponding to a user address, a unit number and floor information; and desensitizing the B domain data to protect user privacy.
  3. 3. The method for constructing an indoor 5G three-dimensional fingerprint library according to claim 1 or 2, wherein determining the critical point of the user entering and exiting the room according to the abrupt change of the wireless signal intensity when the user enters and exits the room comprises: Identifying adjacent sampling points with the abrupt drop of the reference signal receiving level RSRP of the serving cell in the continuous sampling points taking the same user as a unit; And when the RSRP difference value of the adjacent sampling points reaches a first preset threshold value and the average RSRP of the subsequent continuous multiple sampling points and the average RSRP of the continuous multiple sampling points reach a second preset threshold value, judging the sampling point with the signal drop as the critical point.
  4. 4. The method of claim 2, wherein prior to said building the indoor 5G three-dimensional fingerprint library corresponding to the building, unit and floor, the method further comprises: Acquiring an identification BSSID of a Wi-Fi access point reported by a user at an indoor sampling point; Comparing the BSSID with the BSSID of the address Wi-Fi recorded in the B domain data of the corresponding user; if the comparison is consistent, the user is confirmed to enter the actual address, and the position of the indoor sampling point is confirmed based on the actual address.
  5. 5. The method for constructing an indoor 5G three-dimensional fingerprint library according to claim 4, wherein the constructing an indoor 5G three-dimensional fingerprint library corresponding to a building, a unit, and a floor comprises: integrating all indoor sampling points of the user who confirms to enter the actual address; generating a fingerprint record for each building, unit and floor; The fingerprint record at least comprises the following characteristic vectors of frequency points of a service cell and a neighbor cell, a physical cell identifier PCI, a reference signal receiving level RSRP, a horizontal arrival angle HAOA, a vertical arrival angle VAOA, a time advance TA, and the buildings, units, floors and calculated ground heights.
  6. 6. The method for constructing an indoor 5G three-dimensional fingerprint library according to claim 1, wherein for the user who fails to associate with B-domain data, the constructing an indoor 5G three-dimensional fingerprint library corresponding to a building, a unit, and a floor includes: according to the position of the critical point, matching the critical point with the position of a fingerprint library of the existing B-domain data user, and preliminarily determining the building and the unit to which the user belongs; Extracting an identification BSSID set of surrounding Wi-Fi access points detected by the indoor sampling points of the user; and matching the BSSID set with known Wi-Fi fingerprints of the adjacent units of the target unit, and finally determining the floor and the house where the user is located by combining similarity comparison of wireless signal feature vectors.
  7. 7. An indoor 5G three-dimensional fingerprint library construction apparatus, comprising: The data acquisition and analysis module is used for acquiring the measurement report original MRO data and the corresponding signaling data of the 5G network, and analyzing to obtain the user identification, the wireless signal characteristics of the serving cell and the neighbor cell; The position acquisition module is used for acquiring the actual position information of the user and correlating the actual position information of the user with the user identifier; the critical point determining module is used for distinguishing indoor and outdoor sampling points based on the wireless signal characteristics and determining the critical point of the user entering and exiting the room according to the abrupt change of the wireless signal intensity when the user enters and exits the room; And the fingerprint library construction module is used for constructing an indoor 5G three-dimensional fingerprint library corresponding to the building, the unit and the floor based on the position information of the critical point and the actual position information of the user.
  8. 8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the method for building an indoor 5G three-dimensional fingerprint library according to any one of claims 1 to 6.
  9. 9. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, which when executed by a processor, implements the steps of the indoor 5G three-dimensional fingerprint library construction method according to any one of claims 1 to 6.
  10. 10. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the indoor 5G three-dimensional fingerprint library construction method of any one of claims 1 to 6.

Description

Construction method of indoor 5G three-dimensional fingerprint library and related equipment Technical Field The invention relates to the technical field of wireless communication, in particular to a construction method of an indoor 5G three-dimensional fingerprint library and related equipment. Background With the large-scale commercial deployment of 5G networks, the need for fine assessment and positioning of indoor deep coverage is becoming urgent. The existing indoor positioning technology mainly comprises schemes based on Wi-Fi, inertial navigation, magnetic field or fusion algorithm, but the methods have obvious defects when applied to a 5G network: Firstly, the wireless signal fingerprint cannot be directly related to the actual physical positions (such as residential buildings, units and floors) of users, so that the positioning result cannot reflect the distribution of the actual users, secondly, the 5G network lacks functions of directly reporting position information such as Minimization of drive test (DRIVE TESTS, MDT) and the like, the accurate positions of indoor sampling points are difficult to directly obtain, and thirdly, the existing method is insufficient in positioning precision in the vertical dimension and is greatly influenced by the structure of the building. Therefore, a method for automatically correlating the actual location information of the user and constructing a high-precision three-dimensional fingerprint library (FINGERPRINT LIBRARY) using the existing 5G network data is needed to support 5G indoor deep coverage analysis, user location and network optimization. Disclosure of Invention The embodiment of the application provides a method, a device, electronic equipment, a computer readable storage medium and a computer program product for constructing an indoor 5G three-dimensional fingerprint library, which are used for solving the core problems that a 5G network lacks direct position reporting functions such as MDT and the like and a traditional fingerprint library cannot be associated with a real user position, and providing a data base for 5G indoor deep coverage analysis and user positioning. In a first aspect, an embodiment of the present application provides a method for constructing an indoor 5G three-dimensional fingerprint library, including: acquiring measurement report original MRO data and corresponding signaling data of a 5G network, and analyzing to obtain user identification, wireless signal characteristics of a serving cell and a neighbor cell; Acquiring user actual position information, and associating the user actual position information with the user identifier; Based on the wireless signal characteristics, distinguishing indoor and outdoor sampling points, and determining a critical point of a user entering and exiting the room according to the mutation of the wireless signal intensity when the user enters and exits the room; And constructing an indoor 5G three-dimensional fingerprint library corresponding to the building, the unit and the floor based on the position information of the critical point and the actual position information of the user. Optionally, the acquiring the actual location information of the user includes: acquiring B domain data of a user, wherein the B domain data at least comprises a user identifier, a building corresponding to a user address, a unit number and floor information; and desensitizing the B domain data to protect user privacy. Optionally, the determining the critical point of the user entering and exiting the room according to the abrupt change of the wireless signal strength when the user enters and exiting the room includes: Identifying adjacent sampling points with the abrupt drop of the reference signal receiving level RSRP of the serving cell in the continuous sampling points taking the same user as a unit; And when the RSRP difference value of the adjacent sampling points reaches a first preset threshold value and the average RSRP of the subsequent continuous multiple sampling points and the average RSRP of the continuous multiple sampling points reach a second preset threshold value, judging the sampling point with the signal drop as the critical point. Optionally, before the building of the indoor 5G three-dimensional fingerprint library corresponding to the building, the unit and the floor, the method further includes: Acquiring an identification BSSID of a Wi-Fi access point reported by a user at an indoor sampling point; Comparing the BSSID with the BSSID of the address Wi-Fi recorded in the B domain data of the corresponding user; if the comparison is consistent, the user is confirmed to enter the actual address, and the position of the indoor sampling point is confirmed based on the actual address. Optionally, the constructing an indoor 5G three-dimensional fingerprint library corresponding to a building, a unit and a floor includes: integrating all indoor sampling points of the user who confirms to enter