On practical design for joint distributed source and network coding

Yunnan Wu, Vladimir Stankovic, Zixiang Xiong, Sun Yuan Kung

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

This paper considers the problem of communicating correlated information from multiple source nodes over a network of noiseless channels to multiple destination nodes, where each destination node wants to recover all sources. The problem involves a joint consideration of distributed compression and network information relaying. Although the optimal rate region has been theoretically characterized, it was not clear how to design practical communication schemes with low complexity. This work provides a partial solution to this problem by proposing a low-complexity scheme for the special case with two sources whose correlation is characterized by a binary symmetric channel. Our scheme is based on a careful combination of linear syndrome-based Slepian-Wolf coding and random linear mixing (network coding). It is in general suboptimal; however, its low complexity and robustness to network dynamics make it suitable for practical implementation.

Original languageEnglish (US)
Pages (from-to)1709-1720
Number of pages12
JournalIEEE Transactions on Information Theory
Volume55
Issue number4
DOIs
StatePublished - Apr 16 2009

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Keywords

  • Distributed compression
  • Distributed source coding
  • Low complexity
  • Multicast
  • Network coding

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