Message and state cooperation in a relay channel when the relay has strictly causal state information

Min Li, Osvaldo Simeone, Aylin Yener

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

    1 Scopus citations

    Abstract

    A state-dependent relay channel is studied in which strictly causal channel state information is available at the relay and no state information is available at the source and destination. Source and relay are connected via two unidirectional out-of-band orthogonal links of finite capacity, and a state-dependent memoryless channel connects source and relay, on one side, and the destination, on the other. Via the orthogonal links, the source can convey information about the message to be delivered to the destination to the relay while the relay can forward state information to the source. This exchange enables cooperation between source and relay on both transmission of message and state information to the destination. First, an achievable scheme, inspired by noisy network coding, is proposed that exploits both message and state cooperation. Next, based on the given achievable rate and appropriate upper bounds, capacity results are identified for some special cases. Finally, a Gaussian model is studied, along with corresponding numerical results that illuminate the relative merits of state and message cooperation.

    Original languageEnglish (US)
    Title of host publication2011 Information Theory and Applications Workshop, ITA 2011 - Conference Proceedings
    Pages351-356
    Number of pages6
    DOIs
    StatePublished - 2011
    Event2011 Information Theory and Applications Workshop, ITA 2011 - San Diego, CA, United States
    Duration: Feb 6 2011Feb 11 2011

    Publication series

    Name2011 Information Theory and Applications Workshop, ITA 2011 - Conference Proceedings

    Other

    Other2011 Information Theory and Applications Workshop, ITA 2011
    CountryUnited States
    CitySan Diego, CA
    Period2/6/112/11/11

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Computer Science Applications
    • Information Systems

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