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
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;
Conference_Titel :
Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on
Print_ISBN :
0-7803-7442-8
DOI :
10.1109/WPMC.2002.1088373
