Statistical physics of random binning

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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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
Pages1560-1564
Number of pages5
ISBN (Electronic)9781467377041
DOIs
StatePublished - 28 Sep 2015
EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
Duration: 14 Jun 201519 Jun 2015

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2015-June

Conference

ConferenceIEEE International Symposium on Information Theory, ISIT 2015
Country/TerritoryHong Kong
CityHong Kong
Period14/06/1519/06/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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