DocumentCode :
1116490
Title :
Semidefinite relaxation based multiuser detection for M-ary PSK multiuser systems
Author :
Ma, Wing-Kin ; Ching, Pak-Chung ; Ding, Zhi
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, China
Volume :
52
Issue :
10
fYear :
2004
Firstpage :
2862
Lastpage :
2872
Abstract :
Because of the powerful symbol error performance of multiuser maximum-likelihood (ML) detection, recently, there has been much interest in seeking effective ways of approximating multiuser ML detection (MLD) with affordable computational costs. It has been illustrated that for the synchronous code division multiple access (CDMA) scenario, the so-called semidefinite relaxation (SDR) algorithm can accurately and efficiently approximate multiuser MLD. This SDR-MLD algorithm, however, can only handle binary and quadratic phase shift keying (PSK) symbol constellations. In this sequel, we propose an extended SDR algorithm for MLD with M-ary PSK (MPSK) constellations. For the synchronous CDMA scenario, the proposed SDR algorithm provides an attractive polynomial-time complexity order of K3.5, where K is the number of users. Simulation results indicate that the proposed detector provides improved symbol error performance compared with several commonly used multiuser detectors.
Keywords :
code division multiple access; computational complexity; error statistics; maximum likelihood detection; multiuser detection; polynomials; quadrature phase shift keying; relaxation theory; M-ary PSK multiuser systems; binary phase shift keying; multiuser maximum-likelihood detection; polynomial-time complexity; quadrature phase shift keying; semidefinite relaxation algorithm; symbol error performance; synchronous code division multiple access; Binary phase shift keying; Code division multiplexing; Computational efficiency; Decorrelation; Detectors; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Phase shift keying; Polynomials; M-ary phase shift keying; maximum likelihood detection; multiuser detection; relaxation methods; semidefinite programming;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2004.834267
Filename :
1337253
Link To Document :
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