基于CCF-PLS的通讯系统异常根因分析

Root Cause Analysis of Abnormality in Telecommunication Systems Based on CCF-PLS

针对通讯网络升级后出现的系统性能下降问题,提出了一种互相关函数-偏最小二乘(CCF-PLS)方法对系统性能进行监测,并给出导致系统性能下降的根本原因变量。对于大采样间隔且线性特性较强的通讯系统,PLS模型能很好地建立关键性能指标(KPI)与其他观测变量的回归模型。由于观测变量中存在较多与KPI不相关的成分,采用CCF能很好地筛选与KPI强相关的变量,因而可以作为前端处理步骤。在此基础上,结合贡献图方法,CCF-PLS给出导致系统异常的根本原因。仿真结果显示,本文方法具有良好的应用效果。

Aiming at the problem of performance degradation after the upgrade of telecommunication systems,a cross correlation function-partial least squares(CCF-PLS)method is proposed to monitor the system performance and find the variables that results in the performance degradation.For the telecommunication systems with large sampling interval and strong linearity,the PLS model can well establish the regression model between key performance indicator(KPI)and other observation variables.Although the observation variables have many uncorrelated components with KPI,CCF can select those variables that are strongly related with KPI and can thus constitute a pre-processing procedure for PLS.Furthermore,by combining the contribution plot method,the CCF-PLS method can give the root cause of system abnormality.Finally,it is shown via simulation results that the method proposed in this paper can attain good practical effect.