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How Much Training is Needed for Iterative Multiuser Detection and Decoding?
Depart. of Electr. and Telecomm, Norwegian University of Science and Technology.
University of Electro-Communications, Department of Communication Engineering and Informatics.
Norwegian University of Science and Technology, Department of Electronics and Telecommunications.
Department of Systems Science, Kyoto University.
2009 (English)In: GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-8, 2009, 2896-2901 p.Conference paper (Refereed)
Abstract [en]

This paper studies large randomly spread direct-sequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtained by a linear estimator whose initial decisions are iteratively refined by using a soft feedback from the single-user decoders. In addition to the traditional training symbol based signaling scheme, we study a novel method that utilizes a random bias in the symbol probabilities of the transmitted signal to construct the initial channel estimates. The numerical results suggest that in the large system limit, appropriate selection of the channel code and signaling method allows for successful communication with vanishing training overhead in overloaded systems if iterative channel and data estimation is performed at the receiver.

Place, publisher, year, edition, pages
2009. 2896-2901 p.
, IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
National Category
Signal Processing Telecommunications
URN: urn:nbn:se:kth:diva-46555DOI: 10.1109/GLOCOM.2009.5425652ISI: 000280579101067OAI: diva2:492077
IEEE Global Telecommunications Conference (GLOBECOM 09). Honolulu, HI. NOV 30-DEC 04, 2009
QC 20120208Available from: 2012-02-07 Created: 2011-11-03 Last updated: 2012-02-08Bibliographically approved

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Vehkaperä, Mikko
Signal ProcessingTelecommunications

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ReferencesLink to record
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