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Joint Source-Channel Decoding Over MIMO Channels Based on Partial Marginalization
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2012 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 60, no 12, 6734-6739 p.Article in journal (Refereed) Published
Abstract [en]

We investigate fast joint source-channel decoding employed for communication over frequency-flat and frequency-selective block-fading multiple-input multiple-output channels. Our setting has applications for communication with short codes under low-latency constraints. The case of no transmitter channel state information is considered. We propose a partial marginalization decoder that allows performance to be traded for computational complexity, by adjusting a user parameter. By tuning this parameter to its maximum value, the minimum mean square error (MMSE) decoder is obtained. In the conducted simulations, the proposed scheme almost achieves the MMSE performance for a wide range of the channel signal-to-noise ratios, with significant reductions in computational complexity.

Place, publisher, year, edition, pages
2012. Vol. 60, no 12, 6734-6739 p.
Keyword [en]
Fast decoding, joint source-channel coding, low latency, multiple-input multiple-output (MIMO), short codes
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-109629DOI: 10.1109/TSP.2012.2214215ISI: 000311805000054Scopus ID: 2-s2.0-84870538795OAI: oai:DiVA.org:kth-109629DiVA: diva2:584811
Funder
Swedish Research CouncilSwedish Foundation for Strategic Research Knut and Alice Wallenberg FoundationICT - The Next Generation
Note

QC 20130109

Available from: 2013-01-09 Created: 2013-01-08 Last updated: 2017-12-06Bibliographically approved

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Skoglund, Mikael

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