DocumentCode :
2802956
Title :
A grouping strategy for parallel group detection in synchronous gaussian CDMA channels
Author :
Marçal, Marcelo F. ; Vinhoza, Tiago T V ; Backx, Fabian D. ; Sampaio-Neto, Raimundo
Author_Institution :
CETUC/PUC, Rio de Janeiro
fYear :
2006
fDate :
3-6 Sept. 2006
Firstpage :
426
Lastpage :
431
Abstract :
In this paper a group detection technique is addressed. After recalling some concepts of the decorrelating detector and the optimum multiuser detector, a parallel group detector which combines the advantages of both structures is introduced. The receiver derived here exploits the signal users´ correlation in an uplink synchronous code-division multiple access channel, resulting in a structure whose performance ranges from the decorrelating detector to the optimum multiuser detector, depending on the number of groups and on the number of users assigned to those groups. As in group detection the problem of how to compose groups arises, a grouping strategy that minimizes the bit error probability of the user with worst performance in the entire system is developed. Examples illustrating the performance of the proposed grouping strategy are also provided.
Keywords :
Gaussian channels; code division multiple access; error statistics; multiuser detection; bit error probability; grouping strategy; multiuser detector; parallel group detection; synchronous Gaussian CDMA channels; uplink synchronous code-division multiple access channel; AWGN; Background noise; Base stations; Decorrelation; Detectors; Direct-sequence code-division multiple access; Matched filters; Multiaccess communication; Multiple access interference; Multiuser detection; CDMA; Decorrelating Detector; Multiuser Detection; Optimum Detector; Parallel Group Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
Type :
conf
DOI :
10.1109/ITS.2006.4433311
Filename :
4433311
Link To Document :
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