DocumentCode
443866
Title
Application of a genetic algorithm to Hopfield network multi-user detection
Author
Ying, Zhang ; HongLi, Liu ; Fei, Kuang ; Jia, Chen
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume
1
fYear
2005
fDate
23-26 Sept. 2005
Firstpage
644
Lastpage
647
Abstract
In this study, a hybrid approach that employs Hopfield network and a genetic algorithm for multi-user detection problem in code division multiple access system is proposed. The hybrid detection makes use of the global convergence advantage of the genetic algorithm to deal with the output of the Hopfield network detection. So the novel detection will not converge on the minimum of local energy function as the Hopfield network detection. And the computer simulation results show that this detection has good performance both in multiple-access interference resistance and near-far effect resistance.
Keywords
Hopfield neural nets; code division multiple access; genetic algorithms; interference; multiuser detection; telecommunication computing; Hopfield network multiuser detection; code division multiple access system; genetic algorithm; local energy function; multiple-access interference resistance; near-far effect resistance; Detectors; Educational institutions; Genetic algorithms; Genetic engineering; Hopfield neural networks; Matched filters; Multi-layer neural network; Multiaccess communication; Multiple access interference; Multiuser detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on
Print_ISBN
0-7803-9335-X
Type
conf
DOI
10.1109/WCNM.2005.1544126
Filename
1544126
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