Cell information detection and cell coverage calibration method for mobile network

Abstract

The invention discloses a cell information detection and cell coverage calibration method for a mobile network, belongs to the field of mobile communication, and solves the problems that how to accurately acquire the cell key parameters of the mobile network and thereby to establish a base station information list, and how to accurately measure and calibrate the actual coverage range of each cell. According to the method, the user online information of the mobile network collected by a user terminal is used, and via the big data analysis means, the cell key parameters (cell identifiers, station location longitudes and latitudes, direction angles, station types, etc.) are determined, and the base station information list is established; and based on a large number of sampling data of the user online information collected by the terminal, the coverage boundary of each cell is accurately calibrated, and the cell coverage map of the whole network is established. According to the method, the cell key parameters of the mobile network can be accurately acquired, and thereby the base station information list can be established, the time delay and manual errors caused by maintaining the base station information list in a traditional manual collecting and step-by-step reporting manner can be effectively avoided, and the actual coverage range of the network can be accurately evaluated.

Description

technical field [0001] The invention belongs to the field of mobile communication. Background technique [0002] For a mobile network, a cell (also referred to as a sector, cell) is a basic unit for dividing a network coverage area. The base station information table is the core basic data required by telecom operators for network operations. It describes the basic parameters of all cells under a network, generally including station name, cell name, site longitude and latitude, cell identity, station type, direction angle, Pitch angle, station height, coverage scene, etc. The cell identification uses different identification methods for different network standards. For example, a cell in a GSM / WCDMA / TDSCDMA network is composed of two parameters, LAC and CI, which determines a unique cell in the network. For a CDMA2000 network, then A cell is uniquely determined by a combination of three parameters: NID, SID, and BID. The station type refers to whether the base station to ...

AI Technical Summary

Problems solved by technology

[0008] (1) A large number of manual participation may lead to possible data errors

[0009] (2) There is a large time delay in reporting level by level, and the timeliness of information in the base station information table cannot be guaranteed

The disadvantage is that the accuracy is not high, and there is a large deviation from the actual coverage. Generally, it is only used in occasions that do not require high accuracy, such as network planning, and cannot be used in occasions that require high accuracy, such as network optimization.

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