DocumentCode :
2947527
Title :
Belief Propagation for Coded Multiuser Detection
Author :
Tan, Peng Hui ; Rasmussen, Lars K.
Author_Institution :
Inst. of Infocomm Res.
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
1919
Lastpage :
1923
Abstract :
In this paper a simplified parallel belief propagation (BP) algorithm is suggested as a suboptimal soft-input soft-output multiuser detector in an iterative multiuser decoding scheme. The iterative decoding scheme itself is based on applying an outer BP algorithm for message passing between the BP multiuser detector and the single-user decoders. The performance of the iterative decoding process is investigated based on parallel scheduling of the outer BP algorithm. In addition, we analyze the large system BER performance of the corresponding multiuser decoding algorithms. By making Gaussian assumptions on the output of the single-user decoders and the BP multiuser detector, we derive expressions which describe approximately the BER performance of the algorithms. Finally, numerical examples are presented, demonstrating the accuracy of this approximation
Keywords :
Gaussian processes; approximation theory; error statistics; iterative decoding; multiuser detection; parallel processing; scheduling; BER; Gaussian assumptions; belief propagation; coded multiuser detection; iterative multiuser decoding scheme; message passing; parallel scheduling; suboptimal soft-input soft-output multiuser detector; Algorithm design and analysis; Belief propagation; Bit error rate; Detectors; Iterative algorithms; Iterative decoding; Message passing; Multiuser detection; Performance analysis; Scheduling algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261815
Filename :
4036302
Link To Document :
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