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Joint Source-Channel Decoding over MIMOChannels Based on Partial Marginalization
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
Royal Institute of Technology, Stockholm, Sweden. (Communication Theory)
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
IEEE , 2012. Vol. 60, no 12, 6734-6739 p.
Keyword [en]
Joint source-channel coding, multiple-input multiple-output (MIMO), short codes, low latency, fast decoding.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-86182DOI: 10.1109/TSP.2012.2214215ISI: 000311805000054OAI: oai:DiVA.org:liu-86182DiVA: diva2:575455
Available from: 2012-12-10 Created: 2012-12-10 Last updated: 2017-12-07

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Persson, DanielLarsson, Erik G.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • Other style
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  • de-DE
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