DocumentCode
2664856
Title
Genetic algorithm assisted minimum bit error rate multiuser detection in multiple antenna aided OFDM
Author
Alias, M.Y. ; Chen, S. ; Hanzo, L.
Author_Institution
Sch. of ECS, Southampton Univ., UK
Volume
1
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
548
Abstract
The family of minimum bit error rate (MBER) multiuser detectors (MUD) is capable of outperforming the classic minimum mean-squared-error (MMSE) MUD in terms of the achievable bit-error rate (BER) due to directly minimising the BER cost function. In this paper, we invoke genetic algorithms (GA) for finding the optimum weight vectors of the MBER MUD in the context of multiple-antenna aided multi-user OFDM.
Keywords
OFDM modulation; antenna arrays; error statistics; genetic algorithms; least mean squares methods; minimisation; multiuser detection; BER cost function minimisation; GA; MBER; MMSE; achievable BER; genetic algorithm assisted minimum bit error rate multiuser detection; minimum mean-squared-error MUD; multi-user OFDM; multiple antenna aided OFDM; multiuser detectors; optimum weight vectors; Additive white noise; Antenna arrays; Bit error rate; Detectors; Gaussian noise; Genetic algorithms; Multiuser detection; OFDM; Receiving antennas; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1400067
Filename
1400067
Link To Document