Title :
Genetic algorithm assisted multiuser detection for asynchronous multicarrier CDMA
Author :
Wei, Hua ; Hanzo, Lajos
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
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 (1998) optimum MUD without significantly degrading the achievable performance.
Keywords :
Rayleigh channels; code division multiple access; genetic algorithms; mobile radio; multiuser detection; turbo codes; GA; asynchronous multicarrier CDMA; complexity reduction; frequency-selective Rayleigh fading channels; genetic algorithm; multicarrier code-division multiple-access; multiuser detection; performance enhancement; turbo coding; AWGN; Binary phase shift keying; Degradation; Fading; Genetic algorithms; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; OFDM; Turbo codes;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
Print_ISBN :
0-7803-8521-7
DOI :
10.1109/VETECF.2004.1400371
