DocumentCode :
3082834
Title :
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
Link To Document :
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