Iterative channel and data estimation: Framework and analysis via replica method

Mikko Vehkaperä*, Keigo Takeuchi, Ralf R. Müller, Toshiyuki Tanaka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

The large system analysis of a randomly spread direct-sequence code-division multiple-access system operating over a frequency-selective fading channel is considered. Iterative multiuser detection and decoding based on generalized posterior mean estimation and interference cancellation is assumed. The channel is mismatched and provided by a linear estimator whose initial pilot-based decisions are iteratively refined by using a feedback from the single-user decoders. By an application of the replica method, a tool from statistical physics, and density evolution with Gaussian approximation, we show that the performance metrics of the considered multiuser system converge in distribution at the large system limit to that of a simple singleuser system operating over a flat fading channel. We also give the exact result of the hard decision feedback based channel estimator analyzed approximately by Li et al. (2007).

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Information Theory, ISIT 2009
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages2689-2693
ISBN (Electronic)978-1-4244-4313-0
ISBN (Print)978-1-4244-4312-3
DOIs
Publication statusPublished - 19 Nov 2009
MoE publication typeA4 Article in a conference publication
Event2009 IEEE International Symposium on Information Theory, ISIT 2009 - Seoul, Korea, Republic of
Duration: 28 Jun 20093 Jul 2009

Publication series

SeriesIEEE International Symposium on Information Theory. Proceedings
Volume2009
ISSN2157-8095

Conference

Conference2009 IEEE International Symposium on Information Theory, ISIT 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period28/06/093/07/09

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