Short resident user discovery and short resident reason analysis method

Abstract

The invention discloses a short resident user discovery and short resident reason analysis method, which comprises the following steps of: S1, acquiring data, and obtaining residence time of a user ina cell through XDR data; obtaining a level value and GPS information of an RSRP sampling point of the user through MDT data; S2, carrying out data processing, screening out short resident users, andobtaining GPS and level values of the users in short resident time through association of public information of the users and MDT data; and S3, short residence reason analysis: calculating a level fluctuation index according to the sampling point of the level value in the short residence time, and judging whether a fast fading phenomenon exists or not. The XDR user big data and MDT basic data combined technology is applied, the problem that traditional drive test data is insufficient in comprehensiveness is effectively solved, and the problems of fast fading, overlapping coverage, over-coverage and the like of users can be actively found.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a short-stay user discovery and short-stay reason analysis method. Background technique [0002] The generation of short-resident users is generally caused by fast fading of wireless signals, overlapping coverage or over-coverage. Therefore, there are two problems, one is to find out that there is a short-dwelling problem, and the other is to analyze which of the above-mentioned reasons the short-dwelling problem is caused by. [0003] With regard to finding the problem of short residency, there is no effective means for this in the prior art. At present, it can only be discovered after the user complains. The method of on-site testing to determine the cause of the short stay not only consumes a lot of manpower and financial resources, but also always finds the problem passively, which is not conducive to the improvement of customer perception. Even so, most of the time,...

AI Technical Summary

Problems solved by technology

Due to the limitations of the drive test itself, the traditional drive test method cannot realize the user-level big data analysis of the entire network.

Traditional drive testing is costly and labor-intensive, and always passively discovers problems. Due to the lack of data sources, it cannot truly reflect the network situation; the network management platform has no means to associate with air interface RSRP, and cannot deeply analyze the cause

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