DocumentCode
2131205
Title
Sphere Decoding Assisted GA-Based Multiuser Detection for Synchronous LAS Multicode System
Author
Liao, Hancheng
Author_Institution
Sch. of Electron., Jiangxi Univ. of Finance & Econ., Nanchang, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
Multicode system is designed to get more spreading sequences and get higher multiplexing capacity in large-area-synchronized code division multiple access (LAS-CDMA) system. The computational complexity is too high for the optimum detection algorithm using maximum-likelihood (ML) rule and the genetic algorithm (GA) method is often applied to get the suboptimum solution since it is able to greatly decrease the detection complexity. Another sphere decoding (SD) algorithm can also independently reach a near-optimum solution due to a constrained searching operation. A modified detection algorithm based on genetic algorithm method is proposed, where sphere decoding is an additional embedded operation for each GA iteration. The simulation results shows that a SD-assisted GA detector can obtain the same performance as that of the classic GA detector with fewer iterations.
Keywords
code division multiple access; code division multiplexing; communication complexity; genetic algorithms; iterative methods; maximum likelihood decoding; multiuser detection; GA-based multiuser detection; LAS-CDMA system; computational complexity; genetic algorithm; large-area-synchronized code division multiple access system; maximum-likelihood rule; multiplexing capacity; optimum detection algorithm; sphere decoding; synchronous LAS multicode system; Code division multiplexing; Computational complexity; Detection algorithms; Detectors; Genetic algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood detection; Multiaccess communication; Multiuser detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5303195
Filename
5303195
Link To Document