Cell Degradation Detection based on an Inter-Cell Approach
Asghar, M., Nieminen, P., Hämäläinen, S., Ristaniemi, T., Imran, M. A., & Hämäläinen, T. (2017). Cell Degradation Detection based on an Inter-Cell Approach. International Journal of Digital Content Technology and its Applications, 11(1), 25-33. http://www.globalcis.org/jdcta/ppl/JDCTA3792PPL.pdf
Authors
Date
2017Copyright
© the Authors & Convergence Information Society, 2017. This is an open access article published by GlobalCIS.
Fault management is a crucial part of cellular network management systems. The status of the base
stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for
cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell
analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of
one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor
of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping
cell that could be difficult to observe using traditional intra-cell methods. We demonstrate its use for
detecting emulated degradations among performance data recorded from a live LTE network. The
method can be integrated in current systems because it can operate using existing KPIs without any
major modification to the network infrastructure.
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Convergence Information Society (GlobalCIS)ISSN Search the Publication Forum
1975-9339Keywords
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http://www.globalcis.org/jdcta/ppl/JDCTA3792PPL.pdfPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/26988457
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