DocumentCode :
390093
Title :
An improved genetic algorithm based on eugenic population for multiuser detection in DS-CDMA systems
Author :
Chiang, Ching-Tai ; Chang, Chun-Yi
Author_Institution :
Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
Volume :
2
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
984
Abstract :
Although the embedded genetic algorithm and multistage detector (E-GA/MSD) can improve the performance of the conventional GA in multiuser detection, the computational load of MSD is considerable when the number of users is large. To overcome this problem, an improved GA with eugenic population is developed. Based on a new strategy of survival selection, the eugenic population is more confidential than the elitist method in the evolution of better chromosomes for the next generation. Thus, the proposed technique can achieve almost the same performance as the E-GA/MSD, but without incurring additional computations of MSD. Simulation results demonstrate the improved performance of the proposed GA.
Keywords :
AWGN channels; code division multiple access; genetic algorithms; multiuser detection; spread spectrum communication; AWGN channel; DS-CDMA systems; additive white Gaussian noise channel; binary phase-shift-keying; computational load; elitist method; embedded genetic algorithm; eugenic population; improved genetic algorithm; multistage detector; multiuser detection; simulation results; survival selection; AWGN; Biological cells; Computational modeling; Delay; Detectors; Genetic algorithms; Genetic engineering; Multiaccess communication; Multiuser detection; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1180286
Filename :
1180286
Link To Document :
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