Network quality monitoring method based on signalling and MR data and coverage assessment method based on signalling and MR data

Abstract

The invention discloses a network quality monitoring method based on signalling and MR data. The method comprises the following steps: (1): analyzing the GGSNDATATEID, SGSNDATATEID, BeginTime and URI information through a S1-U interface, and extracting longitude and latitude information according to a longitude and latitude format; (2): obtaining XDR information through a S1-MME interface, associating the cell information through the ERAB_ULTEID, ERAB_ULTEID, BeginTime associated information; and (3): obtaining the RSRP data of an MR acquisition point through the cell information and start time with MRO data association. The method does not need to carry out a large number of on-the-spot tests, save resources, has strong stability, has the extensibility of long-term stable tracking analysis, can output the weak coverage area of the wireless network through association analysis and can optimize problems through the coverage accurate positioning network planing.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a network quality monitoring method and a network coverage evaluation method based on signaling and MR data. Based on signaling and MR data as the basic data for network analysis and optimization, it can effectively reflect the current network coverage and User perception, pinpoint the area where the problem is located, further analyze and optimize the solution, and improve network performance and user perception. Background technique [0002] With the gradual expansion of the scale of LTE network construction, the network structure is becoming more and more complex, and problems such as network coverage and interference are becoming more and more prominent. How to comprehensively and accurately locate and analyze network problems in real time, further optimize and quickly improve network user perception is the key to LTE network planning and network planning. An i...

AI Technical Summary

Problems solved by technology

Its disadvantages are: (1) positioning requires a large number of testers and equipment, and takes up too many resources

(2) The test period is long, which cannot meet the current needs of rapid network construction

(3) The test can only select some points and roads for testing, and the test results cannot fully reflect the actual situation of the network

The main disadvantage is that the wireless environment is complex, the software simulation is difficult to be consistent with the actual situation, and the problem of low accuracy of the current network parameters also restricts the accuracy of the simulation

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