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Reduced-Complexity Near-Optimum Genetic Algorithm Assisted Multiuser Detection for Synchronous Multicarrier CDMA

Reduced-Complexity Near-Optimum Genetic Algorithm Assisted Multiuser Detection for Synchronous Multicarrier CDMA
Reduced-Complexity Near-Optimum Genetic Algorithm Assisted Multiuser Detection for Synchronous Multicarrier CDMA
In this contribution, a Genetic Algorithm (GA) assisted Multiuser Detector (MUD) designed for MC-CDMA is investigated in the context of frequency selective Rayleigh fading channels. The achievable BER performance of the GA assisted MUD as well as its near-far resistance are investigated for a range of parameter values. It is shown that the proposed GA assisted MUD is capable of significantly reducing the complexity in comparison to that of Verdu's optimum MUD. For example, when supporting K = 20 users, the number of likelihood function evaluations is reduced by a factor of 1300.
1717-1721
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wei, H.
c99f7f91-cfea-4292-8f88-6b184ff81446
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wei, H.
c99f7f91-cfea-4292-8f88-6b184ff81446

Hanzo, L. and Wei, H. (2004) Reduced-Complexity Near-Optimum Genetic Algorithm Assisted Multiuser Detection for Synchronous Multicarrier CDMA. IEEE VTC'04 (Spring), Italy. 17 - 19 May 2004. pp. 1717-1721 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution, a Genetic Algorithm (GA) assisted Multiuser Detector (MUD) designed for MC-CDMA is investigated in the context of frequency selective Rayleigh fading channels. The achievable BER performance of the GA assisted MUD as well as its near-far resistance are investigated for a range of parameter values. It is shown that the proposed GA assisted MUD is capable of significantly reducing the complexity in comparison to that of Verdu's optimum MUD. For example, when supporting K = 20 users, the number of likelihood function evaluations is reduced by a factor of 1300.

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More information

Published date: 2004
Additional Information: Event Dates: 17-19 May 2004
Venue - Dates: IEEE VTC'04 (Spring), Italy, 2004-05-17 - 2004-05-19
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260294
URI: https://eprints.soton.ac.uk/id/eprint/260294
PURE UUID: 75eab98e-bd9c-4e00-94b9-a646011c8a45
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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