Signaling analysis method and device

Abstract

The invention provides a signaling analysis method and device. The method comprises the steps: obtaining a corresponding first user identification at a stage of distributing the first user identification of a terminal according to a second user identification of a current signaling; obtaining the first signal data collected by a base station corresponding to the first user identification through matching according to the first user identification, the basic information of the signaling and a first mapping relation, wherein the first mapping relation contains the corresponding relation among the first user identification, the second user identification, the basic information of the signaling and the first signaling data; building a correlation between the terminal and base station signaling according to the first signaling data, the basic information of the signaling and a second mapping relation, wherein a stage is already distributed to the first user identification, and the second mapping relation stores the corresponding relation between the second signaling data of the terminal and the basic information of the signaling; carrying out the comparison and analysis of the signaling data according to the built correlation between the terminal and the base station signaling, wherein the life cycle of the first user identification is longer than the life cycle of the second user identification.

Description

technical field [0001] The present invention relates to the technical field of communications, in particular to a signaling analysis method and device. Background technique [0002] The LTE (Long Term Evolution, long-term evolution) network architecture is flattened, and the traditional Abis / Iub interface disappears. The signaling monitoring and optimization method based on the Abis / Iub interface cannot continue in 4G. The device outputs the full amount of original signaling that has passed through the device. In the accuracy detection of LTE soft-sampling signaling, it is often necessary to use the signaling of the test terminal as the detection standard, and compare it with the signaling collected and output by the base station to verify whether the soft-sampling signaling conforms to the real situation of the air interface. In the current network application environment, the base station collects the full amount of air interface signaling of all users on the entire netwo...

AI Technical Summary

Problems solved by technology

[0008] However, the first method only uses the soft acquisition of air interface signaling, and cannot obtain the IMSI information of all signaling. This solution requires multi-interface data acquisition and end-to-end correlation, requires strict system time synchronization, and requires many data sources. , the collection is difficult and the analysis cost is high; while the second method C-RNTI is only unique in the serving cell, with a short life cycle and frequent changes

During the actual test, the drive test terminal does not support the acquisition of RNTI (RadioNetwork Tempory Identity, wireless network temporary identity), and it is necessary to manually obtain the C-RNTI information in the underlying Random Access Response (RAR, Random Access Response) message, and Each cell handover or RRC (Radio Resource Control, radio resource control) connection release needs to be updated at any time, which is cumbersome and error-prone

Therefore, the existing schemes cannot well solve the matching and correlation problem between specific terminal user signaling and all user signaling of the base station

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