Detecting anomalies in cellular networks using an ensemble method

@article{CretuCiocarlie2013DetectingAI,
  title={Detecting anomalies in cellular networks using an ensemble method},
  author={Gabriela F. Cretu-Ciocarlie and Ulf Lindqvist and Szabolcs Nov{\'a}czki and Henning Sanneck},
  journal={Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)},
  year={2013},
  pages={171-174}
}
The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. This paper focuses on the problem of cell anomaly detection, addressing partial and complete degradations in cell-service performance, and it proposes an adaptive ensemble method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell… CONTINUE READING
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LTE Self-Organizing Networks (SON): Network Management Automation for Operational Efficiency

  • S. Hämäläinen, H. Sanneck, C. Sartori eds.
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  • 2012
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