Title :
Turbo-based multiuser detection
Author :
Moher, Michael L.
Author_Institution :
Commun. Res. Centre, Ottawa, Ont., Canada
fDate :
29 Jun-4 Jul 1997
Abstract :
This paper describes the application of cross-entropy minimization techniques to coded multiuser detection. Research has shown that the complexity of the optimum multiuser detector is exponential in the number of users but that it offers much superior performance over the conventional detector that ignores multiple access interference (MAI). These results have been extended for the case with forward error correction (FEC) coding. This paper investigates a suboptimum receiver of lower complexity that does not significantly compromise performance when the signal is FEC-encoded
Keywords :
convolutional codes; decoding; entropy; forward error correction; interference (signal); minimisation; multi-access systems; receivers; signal detection; telecommunication channels; FEC coding; FEC-encoded signal; coded multiuser detection; convolutional code; cross-entropy minimization; forward error correction; multiple access interference; optimum multiuser detector complexity; performance; suboptimum receiver; turbo-based multiuser detection; Bit error rate; Convolutional codes; Degradation; Detectors; Forward error correction; Gaussian channels; Gaussian noise; Matched filters; Multiple access interference; Multiuser detection;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613110
