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在实际的通信核心网维护工作中对故障的预警和快速处理是影响用户感知的主要原因。随着Vo LTE网络的广泛应用,由于Vo LTE核心网结构的复杂性,导致对Vo LTE故障预警和处理周期长、故障类型多,运营商缺乏一种快速准确的故障成因分析定位手段。本文针对Vo LTE核心网故障预警及故障快速诊断的方法进行研究,提出了一种基于多网元仿真和神经网络BP算法模型的Vo LTE核心网故障诊断方法。
In the actual communications core network maintenance work early warning of failure and rapid processing is the main reason affecting user perception. With the widespread use of Vo LTE networks, due to the complexity of the Vo LTE core network structure, the premature warning and processing period of Vo LTE faults and the long service life are many types of faults. Operators lack of a quick and accurate method of fault cause analysis and location. This dissertation focuses on the research of Vo LTE core network fault pre-warning and fault diagnosis, and proposes a new Vo LTE core network fault diagnosis method based on multi-network element simulation and neural network BP algorithm model.