Performance Evaluation of Heuristic Techniques for Coverage Optimization in Femtocells

Mohjazi, L. , Al-Qutayri, M., Barada, H. and Poon, K. F. (2011) Performance Evaluation of Heuristic Techniques for Coverage Optimization in Femtocells. In: 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, Beirut, Lebanon, 11-14 Dec 2011, pp. 587-590. ISBN 9781457718465 (doi: 10.1109/ICECS.2011.6122343)

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Self-optimization of coverage is an essential element for successful deployment of enterprise femtocells. This paper evaluates the performance of genetic algorithm, particle swarm and simulated annealing heuristic techniques to solve a multi-objective coverage optimization problem when a number of femtocells are deployed to jointly provide indoor coverage. This paper demonstrates the different behaviors of the proposed algorithms. The results show that genetic algorithm and particle swarm have a higher potential of solving the problem compared to simulated annealing. This is due to their faster convergence time which is an important parameter for dynamic update of femtocells.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Mohjazi, Dr Lina
Authors: Mohjazi, L., Al-Qutayri, M., Barada, H., and Poon, K. F.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Published Online:16 January 2012

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