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Genetic Algorithm Assisted Multiuser Detection for Asynchronous Multicarrier CDMA

Genetic Algorithm Assisted Multiuser Detection for Asynchronous Multicarrier CDMA
Genetic Algorithm Assisted Multiuser Detection for Asynchronous Multicarrier CDMA
In this contribution a novel genetic algorithm (GA) based multiuser detection (MUD) aided multicarrier code-division multiple-access (MC CDMA) scheme was investigated in the context of frequency-selective Rayleigh fading channels. We considered four different detection strategies in our performance comparisons. Furthermore, turbo coding was invoked for the sake of performance enhancement and –surprisingly– for further complexity reduction. The simulation results showed that the GA assisted MUD was capable of significantly reducing the complexity of Verdu’s optimum MUD without significantly degrading the achievable performance.
1914-1918
Hua, W.
231c29f0-f398-468c-bdd6-d1b61e8c7cab
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Hua, W.
231c29f0-f398-468c-bdd6-d1b61e8c7cab
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Hua, W. and Hanzo, L. (2004) Genetic Algorithm Assisted Multiuser Detection for Asynchronous Multicarrier CDMA. IEEE VTC'04 (Fall), United States. 26 - 29 Sep 2004. pp. 1914-1918 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution a novel genetic algorithm (GA) based multiuser detection (MUD) aided multicarrier code-division multiple-access (MC CDMA) scheme was investigated in the context of frequency-selective Rayleigh fading channels. We considered four different detection strategies in our performance comparisons. Furthermore, turbo coding was invoked for the sake of performance enhancement and –surprisingly– for further complexity reduction. The simulation results showed that the GA assisted MUD was capable of significantly reducing the complexity of Verdu’s optimum MUD without significantly degrading the achievable performance.

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More information

Published date: 2004
Additional Information: Event Dates: 26-29 September 2004
Venue - Dates: IEEE VTC'04 (Fall), United States, 2004-09-26 - 2004-09-29
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260307
URI: https://eprints.soton.ac.uk/id/eprint/260307
PURE UUID: afb3fa9c-194f-4778-a587-63a678a0df08
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 02 Mar 2005
Last modified: 20 Jul 2019 01:26

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