The ergodic fading interference channel with an on-and-off relay

Ye Tian, Aylin Yener

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

    1 Scopus citations

    Abstract

    We consider the ergodic fading Gaussian interference relay channel (EF-GIFRC) with individual power constraints at the nodes. Aiming at design insights to emerge from the optimal power allocation, we focus on scenarios similar to that of the degraded/reversely degraded relay channels. In particular, we focus on models where the source-to-relay (S - R) links are either stronger than direct links, or completely blocked, i.e., with an "on-and-off" relay. To characterize the capacity of EF-GIFRC with an on-and-off relay, we first investigate the parallel interference relay channel. We propose an achievable scheme based on partial decode-and-forward (DF) strategy and show that the capacity for the parallel IFRC can be achieved under strong interference and degradedness conditions. Based on the achievable rate region for parallel IFRC, we propose an achievable rate region for EF-GIFRC, and present the properties of optimal power allocation. We also present a sum capacity result when the EF-GIFRC satisfies certain channel conditions.

    Original languageEnglish (US)
    Title of host publication2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings
    Pages400-404
    Number of pages5
    DOIs
    StatePublished - 2010
    Event2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX, United States
    Duration: Jun 13 2010Jun 18 2010

    Publication series

    NameIEEE International Symposium on Information Theory - Proceedings
    ISSN (Print)2157-8103

    Other

    Other2010 IEEE International Symposium on Information Theory, ISIT 2010
    Country/TerritoryUnited States
    CityAustin, TX
    Period6/13/106/18/10

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Information Systems
    • Applied Mathematics
    • Modeling and Simulation

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