Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels

This work analyses a combinatorial optimization technique based on genetic algorithm (GA) applied to the multiuser detection problem (MuD) in multirate DS/CDMA systems by multiple codes in multipath fading channels. Monte Carlo simulation (MCS) results, in two multirate conditions, showed that the d...

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Main Authors: Taufik Abrão, Paul Jean Etienne Jeszensky, Fernando Ciriaco
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2005-02-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
Online Access:http://www.uel.br/revistas/uel/index.php/semexatas/article/view/1591
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author Taufik Abrão
Paul Jean Etienne Jeszensky
Fernando Ciriaco
author_facet Taufik Abrão
Paul Jean Etienne Jeszensky
Fernando Ciriaco
author_sort Taufik Abrão
collection DOAJ
description This work analyses a combinatorial optimization technique based on genetic algorithm (GA) applied to the multiuser detection problem (MuD) in multirate DS/CDMA systems by multiple codes in multipath fading channels. Monte Carlo simulation (MCS) results, in two multirate conditions, showed that the detection based on GA is a viable option when compared with the optimum MuD (OMuD). The genetic algorithm complexity is determined and compared with the OMuD based on the required number of computational operations, showing an expressive improvement in terms of complexity-performance tradeoff when compared with Rake receiver.
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spelling doaj.art-e1ba1fcc05894df98afe5a969e78175b2022-12-21T23:16:23ZengUniversidade Estadual de LondrinaSemina: Ciências Exatas e Tecnológicas1676-54511679-03752005-02-01262155166Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath ChannelsTaufik AbrãoPaul Jean Etienne JeszenskyFernando CiriacoThis work analyses a combinatorial optimization technique based on genetic algorithm (GA) applied to the multiuser detection problem (MuD) in multirate DS/CDMA systems by multiple codes in multipath fading channels. Monte Carlo simulation (MCS) results, in two multirate conditions, showed that the detection based on GA is a viable option when compared with the optimum MuD (OMuD). The genetic algorithm complexity is determined and compared with the OMuD based on the required number of computational operations, showing an expressive improvement in terms of complexity-performance tradeoff when compared with Rake receiver.http://www.uel.br/revistas/uel/index.php/semexatas/article/view/1591Genetic AlgorithmDS/CDMAMultiple CodesMultirateMultiuser DetectionOptimum Detector
spellingShingle Taufik Abrão
Paul Jean Etienne Jeszensky
Fernando Ciriaco
Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
Semina: Ciências Exatas e Tecnológicas
Genetic Algorithm
DS/CDMA
Multiple Codes
Multirate
Multiuser Detection
Optimum Detector
title Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
title_full Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
title_fullStr Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
title_full_unstemmed Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
title_short Multirate DS/CDMA Systems with Heuristic-Genetic Detector in Multipath Channels
title_sort multirate ds cdma systems with heuristic genetic detector in multipath channels
topic Genetic Algorithm
DS/CDMA
Multiple Codes
Multirate
Multiuser Detection
Optimum Detector
url http://www.uel.br/revistas/uel/index.php/semexatas/article/view/1591
work_keys_str_mv AT taufikabrao multiratedscdmasystemswithheuristicgeneticdetectorinmultipathchannels
AT pauljeanetiennejeszensky multiratedscdmasystemswithheuristicgeneticdetectorinmultipathchannels
AT fernandociriaco multiratedscdmasystemswithheuristicgeneticdetectorinmultipathchannels