Layered coding for interference channels with partial transmitter side information

P. S Chandrashekhar Thejaswi, Amir Bennatan, Junshan Zhang, A. Robert Calderbank, Douglas Cochran

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


A two-user interference channel is considered where each transmitter has access to a part of the information intended to the other destination. A primary objective is to maximize the information rates, by exploring the cooperation between the transmitters for interference mitigation, based on the partial side information. It is clear that full cooperation between the transmitters is not possible since each transmitter has only a part of the side information. With this insight, several "layered coding" schemes, consisting of binning and superposition at different stages, are developed. These schemes are are carefully built on coding strategies for the classical interference channel and node cooperation mechanisms. In particular, two layered coding schemes, which are based on a combination of MIMO broadcast coding and the HanKobayashi (HK) coding, are thoroughly studied : The first one, namely layered coding with binning, makes heavy use of the GelfandPinsker binning and the HK coding and the second one, namely layered superposition coding, involves superposition coding over different tiers. Rate regions corresponding to the proposed schemes are derived. Then the application of these coding schemes are illustrated for the Gaussian case and numerical results corroborate that the proposed layered coding schemes yield substantial gains at high SNR.

Original languageEnglish (US)
Article number5752456
Pages (from-to)2765-2780
Number of pages16
JournalIEEE Transactions on Information Theory
Issue number5
StatePublished - May 2011


  • Beamforming
  • binning
  • dirty paper coding
  • distributed MIMO
  • interference channels
  • side information
  • superposition coding

ASJC Scopus subject areas

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


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