• 제목/요약/키워드: Cell Outage Detection

검색결과 3건 처리시간 0.017초

이동통신 시스템에서 이웃 기지국을 이용한 Outage 검출 및 복구 기법 (Outage Detection and Recovery using Neighbor Base Station in Mobile Communication System)

  • 김재정;지승환
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.661-663
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    • 2021
  • 이동통신 시스템에서 기지국에 Outage가 발생하면 해당 기지국에 접속된 단말의 연결 단절로 전체적인 네트워크 성능이 저하된다. 그러므로 Outage를 감지하고 복구하는 것이 중요하다. 본 논문에서는 기지국의 KPI와 이웃 기지국의 네트워크 스캐닝을 이용하여 Outage 기지국을 검출하고, Outage 기지국의 이웃 기지국의 송신전력과 주파수 대역을 변경하여 Outage를 복구하는 기법에 대해 연구하였다. 제안된 기법은 기지국의 KPI 뿐만 아니라 이웃 기지국의 네트워크 스캐닝을 이용하여 Outage 기지국을 검출하기 때문에 기존보다 더 정확한 Outage 기지국을 검출하여 오작동을 줄일 수 있다. 추가적으로, Outage가 발생하면 이웃 기지국의 송신전력과 주파수 대역 변경을 통해 적은 신호 간섭으로 Outage를 복구할 수 있다.

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이동통신망 자가 치유를 위한 기계학습 연구동향 (Research Status on Machine Learning for Self-Healing of Mobile Communication Network)

  • 권동승;나지현
    • 전자통신동향분석
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    • 제35권5호
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    • pp.30-42
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    • 2020
  • 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.

SE-CAC: A Novel Call Admission Control Scheme for Multi-service IDMA Systems

  • Ge, Xin;Liu, Gongliang;Mao, Xingpeng;Zhang, Naitong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권5호
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    • pp.1049-1068
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    • 2011
  • In this paper a simple and effective call admission control (CAC) scheme is proposed for the emerging interleave-division multiple-access (IDMA) systems, supporting a variety of traffic types and offering different quality of service (QoS) requirements and priority levels. The proposed scheme is signal-to-interference-plus-noise ratio (SINR) evolution based CAC (SE-CAC). The key idea behind the scheme is to take advantage of the SINR evolution technique in the process of making admission decisions, which is developed from the effective chip-by-chip (CBC) multi-user detection (MUD) process in IDMA systems. By virtue of this semi-analytical technique, the MUD efficiency can be estimated accurately. Additionally, the computational complexity can be considerably reduced. These features make the scheme highly suitable for IDMA systems, which can combat intra-cell interference efficiently with simple CBC MUD. Analysis and simulation results show that compared to the traditional CAC scheme considering MUD efficiency as a constant, the proposed SE-CAC scheme can guarantee high power efficiency and throughput for multimedia traffic even in heavy load conditions, illustrating the high efficiency of CBC MUD. Furthermore, based on the SINR evolution, the SE-CAC can make accurate estimation of available resource considering the effect of MUD, leading to low outage probability as well as low blocking and dropping probability.