DocumentCode
2547789
Title
Low-complexity optimization based algorithm for maximum likelihood multi-user detection
Author
Tuan, H.D. ; Son, T.T. ; Tuy, H. ; Le Ngoc, T.
Author_Institution
Dept. of Electr. & Comput. Eng., Toyota Technol. Inst., Nagoya, Japan
Volume
3
fYear
2002
fDate
27-30 Oct. 2002
Firstpage
1222
Abstract
The multiuser detection (MUD) problem is revealed concave in nature. Then, a new concave programming-based algorithm for MUD is proposed. Our intensive simulation clearly shows that it outperforms all previously developed algorithms while the computational burden is essentially reduced.
Keywords
concave programming; maximum likelihood detection; multiuser detection; MUD; concave programming; low-complexity optimization; maximum likelihood detection; multiuser detection; simulation; AWGN channels; Additive noise; Computational modeling; Constraint optimization; Detectors; Mathematics; Maximum likelihood detection; Multiuser detection; Quadratic programming; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on
ISSN
1347-6890
Print_ISBN
0-7803-7442-8
Type
conf
DOI
10.1109/WPMC.2002.1088373
Filename
1088373
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