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A Detection Method for Handover-Related Radio Link Failures Based on SVM

  • Wencong Qin
  • Yinglei Teng
  • Yi Man
  • Shuai Yu
  • Yinghai Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8351)

Abstract

A new methodology based on Support Vector Machine (SVM) for the detection of handover-related radio link failures was presented. After analyzing the characteristics of three abnormal handovers, five handover-related events are extracted to describe abnormal HOs and five time points are set in HO procedure for ease of quantifying these events. Based on these data, the classification performance of the SVM-AID algorithm was tested and the effects of the parameters in SVM on the classification were analyzed. The experimental results show that the parameters should be chosen carefully because they have great effects on the classification. The simulation results also demonstrate that the proposed approach achieves the best efficiency and accuracy with Polynomial kernel function. This study provides a new idea and a basis of application for anomaly detection in Self-Organizing Networks (SON).

Keywords

MRO SVM handover SON detection 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wencong Qin
    • 1
  • Yinglei Teng
    • 1
  • Yi Man
    • 1
  • Shuai Yu
    • 1
  • Yinghai Zhang
    • 1
  1. 1.Beijing Key Laboratory of Work Safety Intelligent MonitoringBeijing University of Posts and TelecommunicationsBeijingP.R. China

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