A Cell Outage Detection Algorithm Using Neighbor Cell List Reports

  • Authors:
  • Christian M. Mueller;Matthias Kaschub;Christian Blankenhorn;Stephan Wanke

  • Affiliations:
  • Institute of Communication Networks and Computer Engineering, Universität Stuttgart, Stuttgart, Germany 70569;Institute of Communication Networks and Computer Engineering, Universität Stuttgart, Stuttgart, Germany 70569;Institute of Communication Networks and Computer Engineering, Universität Stuttgart, Stuttgart, Germany 70569;Institute of Communication Networks and Computer Engineering, Universität Stuttgart, Stuttgart, Germany 70569

  • Venue:
  • IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
  • Year:
  • 2008

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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.