Controlling Self Healing Cellular Networks Using Fuzzy Logic

Saeed, A., Aliu, O. G. and Imran, M. A. (2012) Controlling Self Healing Cellular Networks Using Fuzzy Logic. In: 2012 IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, 01-04 Apr 2012, pp. 3080-3084. ISBN 9781467304375 (doi:10.1109/WCNC.2012.6214334)

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Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100 reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates self healing capability to the fault recovery process for each cell. It is proposed to compensate cells in failure by neighboring cells optimizing their coverage with antenna reconfiguration and power compensation resulting in filling the coverage gap and improving the QoS for users. The right choice of these reconfigured parameters is determined through a process involving fuzzy logic control and reinforcement learning. Results show an improvement in the network performance for the area under outage as perceived by each user in the system.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Saeed, A., Aliu, O. G., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
Published Online:11 June 2012

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