Self-optimization of pilot power in enterprise femtocells using multi objective heuristic

Mohjazi, L. S. , Al-Qutayri, M. A., Barada, H. R., Poon, K. F. and Shubair, R. M. (2012) Self-optimization of pilot power in enterprise femtocells using multi objective heuristic. Journal of Computer Networks and Communications, 2012, 303465. (doi: 10.1155/2012/303465)

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Abstract

Deployment of a large number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play techniques for configuration. This paper proposes a multi-objective heuristic based on a genetic algorithm for a centralized self-optimizing network containing a group of UMTS femtocells. In order to optimize the network coverage in terms of handled load, coverage gaps, and overlaps, the algorithm provides a dynamic update of the downlink pilot powers of the deployed femtocells. The results demonstrate that the algorithm can effectively optimize the coverage based on the current statistics of the global traffic distribution and the levels of interference between neighboring femtocells. The algorithm was also compared with the fixed pilot power scheme. The results show over fifty percent reduction in pilot power pollution and a significant enhancement in network performance. Finally, for a given traffic distribution, the solution quality and the efficiency of the described algorithm were evaluated by comparing the results generated by an exhaustive search with the same pilot power configuration.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mohjazi, Dr Lina
Authors: Mohjazi, L. S., Al-Qutayri, M. A., Barada, H. R., Poon, K. F., and Shubair, R. M.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Journal of Computer Networks and Communications
Publisher:Hindawi
ISSN:2090-7141
ISSN (Online):2090-715X
Published Online:08 February 2012
Copyright Holders:Copyright © 2012 Lina S. Mohjazi et al.
First Published:First published in Journal of Computer Networks and Communications 2012: 303465
Publisher Policy:Reproduced under a Creative Commons License

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