On the feasibility of deploying cell anomaly detection in operational cellular networks
作者： Gabriela Ciocarlie , Ulf Lindqvist , Kenneth Nitz , Szabolcs Novaczki , Henning Sanneck
DOI: 10.1109/NOMS.2014.6838305
关键词:
摘要: The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate detection and diagnosis of, recovery from, network degradations outages. In this paper, we build on our previous work [19] study feasibility of an operational deployment adaptive ensemble-method framework for modeling cell behavior. uses Key Performance Indicators (KPIs) determine cell-performance status. Our results, generated using real cellular data, show that computational overhead delay are sufficiently low practical use methods perform anomaly in networks.
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