DocumentCode :
3504971
Title :
Multirate Multiuser DS/CDMA with Genetic Algorithm Detection in Multipath Channels
Author :
Ciriaco, Fernando ; Abrão, Taufik ; Jeszensky, Paul Jean E
Author_Institution :
Dept. de Engenharia Electrica, State Univ. of Londrina
fYear :
2006
fDate :
28-31 Aug. 2006
Firstpage :
128
Lastpage :
132
Abstract :
This work analyses a heuristic algorithm based on the genetic evolution theory applied to multirate multicode (MC) direct sequence code division multiple access (DS/CDMA) multiuser detection (GA-MC-MuD) in multipath fading channels. Monte-Carlo simulation results, in two multirate conditions, showed that the detection based on GA is a viable option when compared with the optimum MuD (OMuD). Even under hostile channel conditions and severe system operation (loading and errors in the channel coefficients and amplitudes estimates) the GA-MC-MuD performance results are promising. The GA-MC-MuD 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 trade-off when compared with the Rake receiver
Keywords :
Monte Carlo methods; code division multiple access; fading channels; genetic algorithms; multipath channels; multiuser detection; spread spectrum communication; DS-CDMA system; GA-MC-MuD; Monte-Carlo simulation; direct sequence code division multiple access; evolution theory; genetic algorithm; heuristic algorithm; hostile channel condition; multipath fading channels; multirate multicode; multiuser detection; Algorithm design and analysis; Filtering theory; Frequency; Genetic algorithms; Multiaccess communication; Multipath channels; Multiple access interference; Pulse shaping methods; Spread spectrum communication; Telecommunication control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on
Conference_Location :
Manaus-Amazon
Print_ISBN :
0-7803-9779-7
Electronic_ISBN :
0-7803-9780-0
Type :
conf
DOI :
10.1109/ISSSTA.2006.311748
Filename :
4100537
Link To Document :
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