• DocumentCode
    3062451
  • Title

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

  • Author

    Tian, Ye ; Yener, Aylin

  • Author_Institution
    Electr. Eng. Dept., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    400
  • Lastpage
    404
  • 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.
  • Keywords
    Gaussian channels; fading channels; interference (signal); DF strategy; EF-GIFRC; S-R links; degraded relay channels; ergodic fading Gaussian interference relay channel; on-and-off relay; optimal power allocation; partial decode-and-forward strategy; power constraints; source-to-relay links; Channel capacity; Decoding; Degradation; Fading; Integrated circuit noise; Interference channels; Interference constraints; Laboratories; Relays; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513387
  • Filename
    5513387