Frequency Planning of Clustered Cellular Network Using Particle Swarm Optimization

Riaz, M., Imran, M. A. and Hoshyar, R. (2010) Frequency Planning of Clustered Cellular Network Using Particle Swarm Optimization. In: 2010 7th International Symposium on Wireless Communication Systems, York, UK, 19-22 Sep 2010, pp. 646-650. ISBN 9781424463176 (doi:10.1109/ISWCS.2010.5624316)

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In the field of wireless communication, although significant work has been done for improving the cellular systems, however the issue of optimized bandwidth allocation and mitigation of inter-cell interference remains a challenge. To solve this problem, evolutionary algorithm Particle Swarm optimization' (PSO) is considered. The distributed clustered cellular networks with clusters having local macrodiversity are considered and the effect of frequency planning by Particle Swarm Optimization is analyzed by observing the sum rate. The reason of considering PSO is its simple computational nature and property of quick convergence towards optimal solution. Here, PSO for discrete search space is implemented for frequency allocation, the iterative updates are performed to get optimized frequency allocation. The results of frequency allocation by PSO have shown considerable improvement in system sum rate capacity in comparison to some of the conventional allocation schemes.

Item Type:Conference Proceedings
Additional Information:The research leading to these results has received funding from IU-ATC (India-UK Advanced Technology Centre) of excellence in next generation networks systems and services, funded by EPSRC/DST.
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Riaz, M., Imran, M. A., and Hoshyar, R.
College/School:College of Science and Engineering > School of Engineering
Published Online:09 November 2010

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