Abstract
Base stations experiencing hardware or software failures have negative impact on network performance and customer satisfaction. The timely detection of such so-called outage or sleeping cells can be a difficult and costly task, depending on the type of the error. As a first step towards self-healing capabilities of mobile communication networks, operators have formulated a need for an automated cell outage detection. This paper presents and evaluates a novel cell outage detection algorithm, which is based on the neighbor cell list reporting of mobile terminals. Using statistical classification techniques as well as a manually designed heuristic, the algorithm is able to detect most of the outage situations in our simulations.
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Mueller, C.M., Kaschub, M., Blankenhorn, C., Wanke, S. (2008). A Cell Outage Detection Algorithm Using Neighbor Cell List Reports. In: Hummel, K.A., Sterbenz, J.P.G. (eds) Self-Organizing Systems. IWSOS 2008. Lecture Notes in Computer Science, vol 5343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92157-8_19
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DOI: https://doi.org/10.1007/978-3-540-92157-8_19
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