전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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이동통신망 자가 치유를 위한 기계학습 연구동향

Research Status on Machine Learning for Self-Healing of Mobile Communication Network

  • 권동승 (지능형고밀집스몰셀연구실) ;
  • 나지현 (지능형고밀집스몰셀연구실)
  • 발행 : 2020.10.01
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초록

Unlike in previous generations of mobile technology, machine learning (ML)-based self-healing research trend are currently attracting attention to provide high-quality, effective, and low-cost 5G services that need to operate in the HetNets scenario where various wireless transmission technologies are added. Self-healing plays a vital role in detecting and mitigating the faults, and confirming that there is still room for improvement. We analyzed the research trend in self-healing framework and ML-based fault detection, fault diagnosis, and fault compensation. We propose that to ensure that self-healing is a proactive instead of being reactive, we have to design an ML-based self-healing framework and select a suitable ML algorithm for fault detection, diagnosis, and outage compensation.

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참고문헌

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