Multiuser detection using a genetic algorithm in CDMA communications systems

Author

Ergün, Cem ; Hacioglu, Kadri

Author_Institution

Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey

Volume

48

Issue

8

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

1374

Lastpage

1383

Abstract

In this study, a hybrid approach that employs a genetic algorithm (GA) and a multistage detector (MSD) for the multiuser detection problem in a code-division multiple-access communications system is proposed. Using this approach: (1) the GA is used as the first stage of the MSD to provide a good initial point for successive stages of the MSD and (2) the MSD is embedded into the GA as a “genetic operator” to improve further the fitness of the population at each generation. Such a hybridization of the GA with the MSD reduces its computational complexity by providing faster convergence. In addition, a better initial data estimate supplied by the GA improves the performance of the MSD, and the embedded MSD improves the performance of the GA. Simulation results for the synchronous and asynchronous cases are provided to show that the approach is promising

Keywords

code division multiple access; computational complexity; genetic algorithms; receivers; signal detection; CDMA communications; GA; MSD; asynchronous case; code-division multiple-access; computational complexity; convergence; genetic algorithm; genetic operator; hybrid approach; multiuser detection; performance; synchronous case; Computational complexity; Computational modeling; Convergence; Decorrelation; Detectors; Filter bank; Genetic algorithms; Multiaccess communication; Multiple access interference; Multiuser detection;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.864174

Filename

864174