DocumentCode
3524536
Title
Genetic Algorithm based multiuser detection in multi-carrier DS-CDMA system
Author
Chang, Po-Hao ; Ye, Li-Kai ; Chen, Jun-Ren
Author_Institution
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien
fYear
2008
fDate
25-27 Aug. 2008
Firstpage
979
Lastpage
982
Abstract
Recently, mobile communication system has been required to provide quality of service and multimedia service. Since the radio frequency spectrum is a precious resource, wireless radio networks need to make efficient use of it by providing high capacity for the system of interest. Time-domain and Frequency-domain spread MC DS-CDMA (TF-domain spread MC DS-CDMA) is a capacity improvement transmission scheme. The advantage of this scheme is that it can support more users without using long spreading codes. Multiuser Detection (MUD) is a kind of technology that can eliminate multiple access interference and increase system capacity. In this paper, we use Genetic Algorithm to reduce computational complexity of optimum detector and apply it to TF-domain spread MC DS-CDMA to eliminate multiple access interference in order for system to support more users with better performance.
Keywords
code division multiple access; computational complexity; genetic algorithms; mobile radio; multimedia communication; multiuser detection; quality of service; spread spectrum communication; computational complexity; frequency-domain spread MC DS-CDMA; genetic algorithm; mobile communication system; multi-carrier DS-CDMA system; multimedia service; multiuser detection; quality of service; radio frequency spectrum; time-domain spread MC DS-CDMA; wireless radio networks; Genetic algorithms; Mobile communication; Multiaccess communication; Multimedia systems; Multiple access interference; Multiuser detection; Quality of service; Radio frequency; Radio network; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2373-6
Electronic_ISBN
978-1-4244-2374-3
Type
conf
DOI
10.1109/CHINACOM.2008.4685188
Filename
4685188
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