• DocumentCode
    3663250
  • Title

    Statistical physics of random binning

  • Author

    Neri Merhav

  • Author_Institution
    Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1560
  • Lastpage
    1564
  • Abstract
    We consider the model of random binning and finite-temperature (FT) decoding for Slepian-Wolf (SW) codes, from a statistical-mechanical perspective. While ordinary random channel coding is intimately related to the random energy model (REM) in statistical mechanics, it turns out that random binning (for SW coding) is analogous to another, related statistical mechanical model, which we call the random dilution model (RDM). We use the latter analogy to characterize phase transitions pertaining to finite-temperature SW decoding, which are somewhat similar, but not identical, to those of FT channel decoding. We then provide the exact random coding exponent of the bit error rate (BER) as a function of the rate and the decoding temperature, and discuss its properties. Finally, a few modifications and extensions are outlined.
  • Keywords
    "Decoding","Channel coding","Joints","Entropy","Error probability"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2015 IEEE International Symposium on
  • Electronic_ISBN
    2157-8117
  • Type

    conf

  • DOI
    10.1109/ISIT.2015.7282718
  • Filename
    7282718