Diagnostic analysis method for short residence in network

Abstract

The invention discloses a diagnostic analysis method for short residence in a network. The method comprises the steps of: S1, data collection: switching data based on IMSI is obtained through an XDR data module, then the cell switching-in time of a user is extracted, then the cell switching-out time of the user is extracted, and the time difference between the cell switching-out time of the user and the cell switching-in time of the user is utilized. The invention discloses a diagnostic analysis method for short residence in a network. Under the condition that the current short residence problem is common and the discovery means are deficient; according to the invention, an effective and accurate positioning and analysis means is provided; effective data support is provided for problem analysis and solution; the XDR user big data is creatively utilized, the problem that the comprehensiveness of traditional drive test data is insufficient is effectively solved, and on the whole, the purposes of saving energy, reducing emission, reducing drive test expenditure, shortening the optimization period and bringing higher user satisfaction can be achieved.

Description

technical field [0001] The invention relates to the technical field of short-stay users, in particular to a diagnosis and analysis method for short-stay users in a network. Background technique [0002] The occurrence of short-resident users is generally caused by fast fading of wireless signals, overlapping coverage or over-coverage. There is currently no effective monitoring and discovery means for this type of problem in the existing technology. At present, problems can only be diagnosed through on-site testing after user complaints, which not only consumes a lot of manpower and financial resources, but also always finds problems passively, which is not conducive to improving customer perception. Even so, most of the time, due to objective reasons, it is difficult to enter the home for testing, it is difficult to collect valuable data, and it is impossible to analyze the problem in depth. Get the residence time of the mobile phone in the cell, and then determine whether...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a diagnostic analysis method for short-stay in the network, which solves the problem that the network management platform has no means to associate with the RSRP of the air interface, and the cause of in-depth diagnosis and analysis cannot be performed. Traditional drive tests cost money. It is labor-intensive and always finds problems passively. Due to the lack of data sources, it cannot truly reflect the network situation.

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