• DocumentCode
    2365877
  • Title

    On the capacity of the symmetric interference channel with a cognitive relay at high SNR

  • Author

    Dytso, Alex ; Devroye, Natasha ; Tuninetti, Daniela

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2350
  • Lastpage
    2354
  • Abstract
    The capacity of the Interference Channel with a Cognitive Relay, a channel model which generalizes the broadcast, interference and cognitive interference channels, is still an open question. Towards understanding this complex channel, we first consider the binary linear deterministic model that approximates the Gaussian channel at high SNR. We consider symmetric channel gains and show achievability of a tightened version of a previously known outer bound for almost all channel parameters. Of particular interest in this channel model is how the cognitive relay may be used to simultaneously relay as well as cancel/neutralize interference at the two receivers. The achievability schemes used to prove capacity use combinations of three main strategies at the cognitive relay that we term bit cancellation, bit sharing, and bit (self)cleaning. We highlight the capacity achieving schemes in the different regimes, pointing out some of the interesting new behaviors seen at the cognitive relay.
  • Keywords
    Gaussian channels; cognitive radio; interference suppression; Gaussian channel; achievability schemes; binary linear deterministic model; bit cancellation; bit cleaning; bit sharing; cognitive interference channels; cognitive relay; complex channel; high SNR; interference cancellation; interference neutralization; self cleaning; symmetric interference channel; Channel models; Cleaning; Interference channels; Receivers; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363828
  • Filename
    6363828