State-dependent Gaussian Z-channel with mismatched side-information and interference

Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai Shitz

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

17 Scopus citations

Abstract

A state-dependent Gaussian Z-interference channel model is investigated in the regime of high state power, in which transmitters 1 and 2 communicate with receivers 1 and 2, and only receiver 2 is interfered by transmitter 1's signal and a random state sequence. The state sequence is known noncausally only to transmitter 1, not to the corresponding transmitter 2. A layered coding scheme is designed for transmitter 1 to help interference cancelation at receiver 2 (using a cognitive dirty paper coding) and to transmit its own message to receiver 1. Inner and outer bounds are derived, and are further analyzed to characterize the boundary of the capacity region either fully or partially for all Gaussian channel parameters. Our results imply that the capacity region of such a channel with mismatched transmitter-side state cognition and receiver-side state interference is strictly less than that of the corresponding channel without state, which is in contrast to Costa type of dirty channels, for which dirty paper coding achieves the capacity of the corresponding channels without state.

Original languageEnglish (US)
Title of host publication2013 IEEE Information Theory Workshop, ITW 2013
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE Information Theory Workshop, ITW 2013 - Seville, Spain
Duration: Sep 9 2013Sep 13 2013

Publication series

Name2013 IEEE Information Theory Workshop, ITW 2013

Other

Other2013 IEEE Information Theory Workshop, ITW 2013
CountrySpain
CitySeville
Period9/9/139/13/13

ASJC Scopus subject areas

  • Information Systems

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    Duan, R., Liang, Y., Khisti, A., & Shitz, S. S. (2013). State-dependent Gaussian Z-channel with mismatched side-information and interference. In 2013 IEEE Information Theory Workshop, ITW 2013 [6691306] (2013 IEEE Information Theory Workshop, ITW 2013). https://doi.org/10.1109/ITW.2013.6691306