Interference channels with correlated receiver side information

Nan Liu, Deniz Gündüz, Andrea J. Goldsmith, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The problem of joint source-channel coding in transmitting independent sources over interference channels with correlated receiver side information is studied. When each receiver has side information correlated with its own desired source, it is shown that source-channel code separation is optimal. When each receiver has side information correlated with the interfering source, sufficient conditions for reliable transmission are provided based on a joint source-channel coding scheme using the superposition encoding and partial decoding idea of Han and Kobayashi. When the receiver side information is a deterministic function of the interfering source, source-channel code separation is again shown to be optimal. As a special case, for a class of Z-interference channels, when the side information of the receiver facing interference is a deterministic function of the interfering source, necessary and sufficient conditions for reliable transmission are provided in the form of single letter expressions. As a byproduct of these joint source-channel coding results, the capacity region of a class of Z-channels with degraded message sets is also provided.

Original languageEnglish (US)
Title of host publication46th Annual Allerton Conference on Communication, Control, and Computing
Pages547-554
Number of pages8
DOIs
StatePublished - 2008
Event46th Annual Allerton Conference on Communication, Control, and Computing - Monticello, IL, United States
Duration: Sep 24 2008Sep 26 2008

Publication series

Name46th Annual Allerton Conference on Communication, Control, and Computing

Other

Other46th Annual Allerton Conference on Communication, Control, and Computing
Country/TerritoryUnited States
CityMonticello, IL
Period9/24/089/26/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Control and Systems Engineering
  • Communication

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