Asghar, M. Z., Niemine, P., Hämäläinen, S., Ristanie, T., Imran, M. A. and Hämäläinen, T. (2017) Cell degradation detection based on an inter-cell approach. International Journal of Digital Content Technology and its Applications, 11(1), pp. 25-33.
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Abstract
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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad |
Authors: | Asghar, M. Z., Niemine, P., Hämäläinen, S., Ristanie, T., Imran, M. A., and Hämäläinen, T. |
College/School: | College of Science and Engineering > School of Engineering |
Journal Name: | International Journal of Digital Content Technology and its Applications |
Publisher: | Advanced Institute of Convergence Information Technology Research Center |
ISSN: | 1975-9339 |
ISSN (Online): | 2233-9310 |
Copyright Holders: | Copyright © 2016 The Authors |
First Published: | First published in International Journal of Digital Content Technology and its Applications 11(1):25-33 |
Publisher Policy: | Reproduced with the permission of the publisher. |
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