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Joint Source-Channel Coding for the MIMO Broadcast Channel
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
School of Electrical Engineering, KTH.
School of Electrical Engineering, KTH.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2012 (English)Data set
Abstract [en]

We investigate the problem of broadcasting analog sources to several users using short codes,employing several antennas at both the transmitter and the receiver, and channel-optimized quantization.Our main objective is to minimize the sum mean square error distortion. A joint multi-user encoder, aswell as a structured encoder with separate encoders for the different users, are proposed. The first encoderoutperforms the latter, which in turn offers large improvements compared to state-of-the-art, over a widerange of channel signal-to-noise ratios. Our proposed methods handle bandwidth expansion, i.e., usageof more channel than source dimensions, automatically. We also derive a lower bound on the distortion.

Place, publisher, year
Linköping: Linköping University Electronic Press, 2012.
Version
1
Keywords [en]
broadcast channel, joint source-channel coding
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-144408OAI: oai:DiVA.org:liu-144408DiVA, id: diva2:1175868
Funder
Swedish Research CouncilKnut and Alice Wallenberg FoundationSwedish Foundation for Strategic Research
Note

Published in IEEE Signal Processing Society, 2012. Vol. 60, No. 4, pp. 2085-2090. DOI: https://doi.ortg/10.1109/TSP.2011.2180716

Available from: 2018-01-19 Created: 2018-01-19 Last updated: 2018-01-19Bibliographically approved

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File name SOFTWARE01.zipFile size 466 kBChecksum SHA-512
e0ea7badab6c0caf6f1ffbecbb0086c4481d61b581f79c7b5c9ecc56eb246efcb4773c0ace89837d7182da0464fb5b81a31ff2e651226a18b9482613a13ba686
Type softwareMimetype application/zip

Authority records BETA

Persson, DanielLarsson, Erik G.

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Persson, DanielLarsson, Erik G.
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Communication SystemsFaculty of Science & Engineering
Communication Systems
Persson, D., Kron, J., Skoglund, M. & Larsson, E. G. (2012). Joint Source-Channel Coding for the MIMO Broadcast Channel. IEEE Transactions on Signal Processing, 60(4), 2085-2090

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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