• DocumentCode
    3508818
  • Title

    Capacity to within 3 bits for a class of Gaussian Interference Channels with a Cognitive Relay

  • Author

    Rini, Stefano ; Tuninetti, Daniela ; Devroye, Natasha

  • Author_Institution
    ECE Dept., Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2627
  • Lastpage
    2631
  • Abstract
    The InterFerence Channel with a Cognitive Relay (IFC-CR) consists of a classical two-user interference channel in which the two independent messages are also non-causally known at a cognitive relay node. In this work a special class of IFC-CRs in which the sources do not create interference at the non-intended destinations is analyzed. This special model results in a channel with two non-interfering point-to-point channels whose transmission is aided by an in-band cognitive relay, which is thus referred to as the Parallel Channel with a Cognitive Relay (PC-CR). We determine the capacity of the PC-CR channel to within 3 bits/s/Hz for all channel parameters. In particular, we present several new outer bounds which we achieve to within a constant gap by proper selection of Gaussian input distributions in a simple rate-splitting and superposition coding-based inner bound. The inner and outer bounds are numerically evaluated to show that the actual gap can be far less than 3 bits/s/Hz.
  • Keywords
    Gaussian channels; Gaussian distribution; channel capacity; channel coding; cognitive radio; radiofrequency interference; Gaussian input distribution selection; Gaussian interference channel capacity; PC-CR channel; channel parameters; cognitive relay node; noninterfering point-to-point channels; outer bounds; parallel channel; rate-splitting inner bound; superposition coding-based inner bound; two-user interference channel; Cognition; Decoding; Interference channels; Relays; Signal to noise ratio; Interference Channels with a Cognitive Relay; Outer bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6034046
  • Filename
    6034046