An intelligent handover analysis method and system based on gsm signaling data

Abstract

An intelligent switchover analysis system based on GSM (Global System of Mobile Communication) signaling data comprises a GSM network A interface / Abis interface signaling acquisition and analysis sub-system, a QL (Query Language) matrix analysis sub-system and an AHOY (Advanced Handover Optimization Yield) analysis sub-system; the GSM network A interface / Abis interface signaling acquisition and analysis sub-system is connected with the QL matrix analysis sub-system which is connected with the AHOY analysis sub-system; the intelligent switchover analysis system is capable of acquiring numerous and complex wireless environmental conditions and switch-in / switch-off detailed conditions, synthesizing a QL matrix table of CELL levels and BSS (Base Station Sub-system) levels and quantizing switching flexibility and switching validity by means of an AHOY analysis method; and finally, the switching analysis and the switching optimization of operators' GMS networks can be expanded efficiently.

Description

technical field [0001] The invention belongs to the technical field of mobile communication and mobile Internet, and in particular relates to an intelligent switching analysis method and system based on GSM signaling data. Background technique [0002] With the rapid development of network communication technology, the Global System of Mobile communication, also known as GSM, is currently the most widely used mobile phone standard. More than 1 billion people in more than 200 countries and regions around the world are using GSM phones. The biggest difference between GSM and its predecessors is that both signaling and voice channels are digital, so GSM is considered a second generation (2G) mobile phone system. However, the existing handover analysis method based on GSM signaling data always has three significant shortcomings, which makes it difficult to implement handover optimization efficiently: [0003] First, the handover performance is analyzed based on OMCR (Wireless ...

AI Technical Summary

Problems solved by technology

However, the existing handover analysis method based on GSM signaling data always has three significant shortcomings, which makes it difficult to implement handover optimization efficiently:

[0003] First, the handover performance is analyzed based on OMCR (Wireless Operation and Maintenance Center) statistical data. The indicators are rough, and the details before and after the handover cannot be reproduced, and it is almost impossible to support refined handover optimization;

[0004] Second, based on the analysis of handover performance based on DT drive test data, the sampling rate is too low to support local handover optimization, but handover optimization cannot be carried out for large-scale areas or the entire network;

[0005] Third, the switching performance is analyzed based on the signaling data of the A interface and Abis interface. The basic data is too large to quickly find problems and accurately diagnose problems, and it is impossible to form an effective optimization plan;

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