DocumentCode :
1748262
Title :
Multi-stage low complexity maximum likelihood detection for OFDM/SDMA wireless LANs
Author :
Li, Junqiang ; Letaief, K.B. ; Cheng, Roger S. ; Cao, Zhigang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
1152
Abstract :
Space division multiple access (SDMA) is a promising solution for the significant increase of system capacity and spectral efficiency in wireless LANs. To make the system more robust against the detrimental effects of frequency selective fading channels, a combined OFDM/SDMA based WLAN has been previously proposed. In particular, it has been shown that MLD (maximum likelihood detection) has the best SNR performance compared with other detection schemes such as LMMSE and SIC (successive interference cancellation) based ones. However, the complexity of MLD increases exponentially in the number of users and constellation size. In this paper, a new multi-stage low complexity MLD scheme using the sensitive bits algorithm (SB-MLD) is proposed. It is shown that it can greatly reduce the computational complexity with a minimal penalty in performance compared with the exhaustive MLD scheme
Keywords :
OFDM modulation; computational complexity; fading channels; indoor radio; maximum likelihood detection; space division multiple access; wireless LAN; OFDM/SDMA wireless LANs; SB-MLD; SDMA; SNR performance; combined OFDM/SDMA based WLAN; computational complexity; constellation size; frequency selective fading channels; indoor radio; multi-stage low complexity MLD scheme; multi-stage low complexity maximum likelihood detection; sensitive bits algorithm; space division multiple access; spectral efficiency; system capacity; Consumer electronics; Detectors; Information technology; Interference cancellation; Local area networks; Maximum likelihood detection; Multiaccess communication; OFDM; Space technology; Wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
Type :
conf
DOI :
10.1109/ICC.2001.936846
Filename :
936846
Link To Document :
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