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MDT is the most used data for mobile network anomaly analysis and service assurance. In this paper, we introduce an innovative approach for extracting MDT data from the trace raw data. It can reduce the load on the OMC northbound interface and provide more flexible and agile data analysis capabilities. Then, we provide a clustering-based network anomaly analysis model with MDT data, which is applied in precise positioning of network anomalies areas of the current network.

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Mobile Network Anomaly Analysis and Optimization Based on MDT Parsing from Binary Trace

  • 会议论文

  • 发表日期：

    2025年

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  • Feibi Lyu,
  • Zixiang Di,
  • Jinjian Qiao,
  • Tian Xiao,
  • Liang liu,
  • Chen Cheng,
  • Zhaoning Wang,
  • Lu Zhi,
  • Yuan Zhang

摘要

MDT is the most used data for mobile network anomaly analysis and service assurance. In this paper, we introduce an innovative approach for extracting MDT data from the trace raw data. It can reduce the load on the OMC northbound interface and provide more flexible and agile data analysis capabilities. Then, we provide a clustering-based network anomaly analysis model with MDT data, which is applied in precise positioning of network anomalies areas of the current network.