Method for obtaining MRO user information based on S1-MME signalling association

Abstract

The invention discloses a method for obtaining MRO user information based on S1-MME signalling association. The method comprises the following steps of: S1, performing clock synchronization of signalling acquisition equipment and wireless side acquisition eNB equipment; S2, performing data source acquisition by the signalling acquisition equipment and the wireless side acquisition eNB equipment, and analyzing to obtain an S1-MME XDR ticket, an S1-U XDR ticket and a structural MRO file; S3, associating MR0 in MR with S1-MME XDR by taking the time, ECI and MMEUES1apID as key values; S4, associating MR0 with S1-U XDR by taking the time and IMSI as key values, so that MR data associated with each S1-U XDR is obtained; and S5, obtaining required related information according to the associated MR data and S1-U XDR. According to the method disclosed by the invention, MRO is associated with S1-U signalling after obtaining user information; related information of two types of data can be respectively obtained; and thus, all kinds of deep analysis of MR, signalling and user behaviours can be realized.

Description

technical field [0001] The invention relates to a method for acquiring MRO user information based on S1-MME signaling association. Background technique [0002] The mobile communication operator establishes a signaling monitoring system, collects the control plane and user plane signaling of the user from the S1 interface of the LTE network core network, forms an XDR bill, and realizes user perception analysis and user / business behavior analysis, etc.; the wireless side Collect the MR (measurement report) on the eNB device, and realize the optimization and rectification of the wireless network through the positioning of the MR data and the statistical analysis of related indicators. [0003] At present, core network signaling monitoring mainly analyzes user perception and user / service behavior from XDR bills. Because signaling is collected on the S1 interface, there is no wireless status and precise location information when users use services, and most network problems are ...

AI Technical Summary

Problems solved by technology

[0003] At present, core network signaling monitoring mainly analyzes user perception and user / service behavior from XDR bills. Because signaling is collected on the S1 interface, there is no wireless status and precise location information when users use services, and most network problems are limited to Based on the approximate node of the positioning problem (above or below the S1 interface), user / service behavior analysis (involving user / service location distribution, user activity trajectory, etc.) is also limited to the cell level in XDR; MR in the LTE network is divided into MRO, MRS, MRE, and MRO are reported by a single user, but there is no unique user information in MRO at this stage, and the user cannot be identified. Therefore, the current MR analysis is limited to statistical analysis of cells and regions, and user-level analysis cannot be realized.

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