Reduced-complexity near-optimum genetic algorithm assisted multiuser detection for synchronous multicarrier CDMA

Author

Wei, Hua ; Hanzo, Lajos

Author_Institution

Sch. of Electr. & Comput. Sci., Southampton Univ., UK

Volume

3

fYear

2004

fDate

17-19 May 2004

Firstpage

1717

Abstract

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 (1998) optimum MUD. For example, when supporting K = 20 users. the number of likelihood function evaluations is reduced by a factor of 1300.

Keywords

Rayleigh channels; code division multiple access; error statistics; genetic algorithms; maximum likelihood detection; multiuser detection; BER performance; GA; MC-CDMA; MUD; frequency selective Rayleigh fading channels; likelihood function evaluations; multiuser detection; near-far resistance; near-optimum genetic algorithm; reduced-complexity genetic algorithm; synchronous multicarrier CDMA; AWGN; Algorithm design and analysis; Binary phase shift keying; Fading; Genetic algorithms; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; OFDM; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th

ISSN

1550-2252

Print_ISBN

0-7803-8255-2

Type

conf

DOI

10.1109/VETECS.2004.1390549

Filename

1390549