Genetic algorithms for multiuser detection in synchronous CDMA

Author

Juntti, Markku J. ; Schlösser, Thomas ; Lilleberg, Jorma O.

Author_Institution

Telecommun. Lab., Oulu Univ., Finland

fYear

1997

fDate

29 Jun-4 Jul 1997

Firstpage

492

Abstract

The optimal multiuser detector for communication systems can be characterized as an NP-hard optimization problem. The application of genetic algorithms to suboptimal multiuser detection is studied. The performance of the genetic algorithm multiuser detection is studied by computer simulations. They demonstrate that a good initial guess vector is needed to obtain a superior performance. If the decorrelating detector output is included in the set of initial guess vectors, the performance of the genetic algorithm detection is close to that of the single user system

Keywords

code division multiple access; correlation methods; genetic algorithms; signal detection; synchronisation; NP-hard optimization problem; communication systems; computer simulations; decorrelating detector output; genetic algorithms; initial guess vector; performance; single user system; suboptimal multiuser detection; synchronous CDMA; Application software; Code division multiplexing; Decorrelation; Detectors; Genetic algorithms; Genetic mutations; Matched filters; Mobile handsets; Multiuser detection; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on

Conference_Location

Ulm

Print_ISBN

0-7803-3956-8

Type

conf

DOI

10.1109/ISIT.1997.613429

Filename

613429