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A Minimum Distance guided Genetic Algorithm for Multi-User Detection in a Multi-Carrier CDMA Wireless Broadband System

Ni, Qiang and Jehanzeb, Jehanzeb and Zhang, Yang and Guan, Sheng-Uei (2008) A Minimum Distance guided Genetic Algorithm for Multi-User Detection in a Multi-Carrier CDMA Wireless Broadband System. In: Broadband Communications, Networks and Systems, 2008. BROADNETS 2008. 5th International Conference on. IEEE, New York, pp. 500-505. ISBN 978-1-4244-2391-0

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Abstract

We propose a novel Minimum Distance guided Genetic Algorithm (MDGA) for Multi-User Detection (MUD) in a synchronous Multi-Carrier Code Division Multiple Access (MC-CDMA) broadband wireless system. In contrast to conventional GAs, our MDGA exploits adequately the output from a bank of Matched Filters as guidance. It starts with a balanced ratio of exploration and exploitation which is maintained throughout the process. A novel replacement strategy is proposed which increases dramatically the convergence rate as compared to the conventional GAs. This allows us to use the simplest form of genetic operators to gain significant reduction in computational complexity as well as near-optimum results. The simulation results demonstrate that our scheme achieves 99.54% and 50+% reduction in computational complexity as compared to the MUD schemes using exhaustive search and conventional GA respectively.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: Genetic Algorithm ; MC-CDMA ; Multi-User Detection ; Multiple Access Interference
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 59076
Deposited By: ep_importer_pure
Deposited On: 11 Oct 2012 10:48
Refereed?: No
Published?: Published
Last Modified: 23 Oct 2017 02:41
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/59076

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