Multiuser Detection in DS-CDMA Using Hybrid Evolutionary Strategy

Author

Sharmin, Mehtaz ; Tellambura, Chintha

Author_Institution

Univ. of Alberta, Edmonton

fYear

2007

fDate

22-26 April 2007

Firstpage

605

Lastpage

608

Abstract

A hybrid Evolutionary Algorithm is presented in this paper for multiuser detection in a synchronous direct sequence code-division multiple access (DS-CDMA) system, which explores the application of Evolutionary algorithm (EA). The algorithm employs a (1 + lambda) Evolutionary Strategy (ES) for the basic search, which directs the search process towards an elitist solution space. A simple 1-opt local search is applied for thorough search in the elitist region. Simulation results demonstrate the efficacy of the proposed algorithm as this approach offers near optimal bit-error rate (BER) performance with lower computational complexity compared to the maximum-likelihood (ML) detector for a large number of users.

Keywords

code division multiple access; computational complexity; error statistics; evolutionary computation; maximum likelihood detection; multiuser detection; search problems; spread spectrum communication; DS-CDMA system; computational complexity; evolutionary algorithm; maximum-likelihood detector; multiuser detection; optimal bit-error rate performance; search process; synchronous direct sequence code-division multiple access system; Bandwidth; Bit error rate; Computational complexity; Detectors; Evolutionary computation; Multiaccess communication; Multiple access interference; Multiuser detection; Polynomials; Search methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on

Conference_Location

Vancouver, BC

ISSN

0840-7789

Print_ISBN

1-4244-1020-7

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2007.156

Filename

4232815