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


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

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Description/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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 17-19 May 2004
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
Item ID: 260294
Date Deposited: 02 Mar 2005
Last Modified: 02 Mar 2012 11:58
Contributors: Hanzo, L. (Author)
Wei, H. (Author)
Date: 2004
Additional Information: Event Dates: 17-19 May 2004
Status: Published
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/260294

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