DocumentCode
478367
Title
A New Heuristic Method for Multiuser Detection in DS-CDMA Systems
Author
Wang, Shaowei ; Ji, Xiaoyong
Author_Institution
Dept. of Electron. Sci. & Eng., Nanjing Univ., Nanjing
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
362
Lastpage
366
Abstract
Optimum multiuser detection (OMD) scheme is the most promising technology to combat the multiple access interference (MAI) in direct-sequence code-division multiple access (DS-CDMA) mobile communication systems. However, the computational complexity of the OMD is exponential, which results that it cannot be applied the practical environments. Though many heuristics have been presented to search for the (near) optimum solutions of this problem, most of them still have higher computational complexity than linear or non-linear detectors because there are many redundant computations in these randomized algorithms. In this paper, we investigate the distribution of the local optima of the OMD problem and propose an efficient heuristic algorithm to find the (near) optimum solution. Simulation results show the bit error rate performance of the proposed algorithm is better than other algorithms and it can produce good solutions rapidly with lower computational complexity.
Keywords
code division multiple access; error statistics; mobile radio; multiuser detection; spread spectrum communication; DS-CDMA Systems; bit error rate performance; computational complexity; direct-sequence code-division multiple access; heuristic method; mobile communication systems; multiple access interference; optimum multiuser detection scheme; Bit error rate; Computational complexity; Computational modeling; Detectors; Direct-sequence code-division multiple access; Heuristic algorithms; Mobile communication; Multiaccess communication; Multiple access interference; Multiuser detection; CDMA; heuristic method; multiuser Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.210
Filename
4667457
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