• DocumentCode
    3608153
  • Title

    Multi-user Cognitive Interference Channels: A Survey and New Capacity Results

  • Author

    Maamari, Diana ; Tuninetti, Daniela ; Devroye, Natasha

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Illinois at Chicago (UIC), Chicago, IL, USA
  • Volume
    1
  • Issue
    1
  • fYear
    2015
  • fDate
    3/1/2015 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    44
  • Abstract
    This paper provides a survey of the state-of-the-art information theoretic analysis for overlay multi-user (more than two pairs) cognitive networks and reports new capacity results. In an overlay scenario, cognitive/secondary users share the same frequency band with licensed/primary users to efficiently exploit the spectrum. They do so without degrading the performance of the incumbent users, and may possibly even aid in transmitting their messages as cognitive users are assumed to possess the message(s) of primary user(s) and possibly other cognitive user(s). The survey begins with a short overview of the two-user overlay cognitive interference channel. The evolution from two-user to three-user overlay cognitive interference channels is described next, followed by generalizations to multi-user (arbitrary number of users) cognitive networks. The rest of the paper considers K -user cognitive interference channels with different message knowledge structures at the transmitters. Novel capacity inner and outer bounds are proposed. Channel conditions under which the bounds meet, thus, characterizing the information theoretic capacity of the channel, for both linear deterministic and Gaussian channel models, are derived. The results show that for certain channel conditions distributed cognition, or having a cumulative message knowledge structure at the nodes, may not be worth the overhead as (approximately) the same capacity can be achieved by having only one global cognitive user whose role is to manage all the interference in the network. This paper concludes with future research directions.
  • Keywords
    Channel models; Encoding; Interference channels; Receivers; Signal to noise ratio; Transmitters; Cognitive networks; Gaussian channel; generalized degrees of freedom; interference channels; linear deterministic channel; sum-capacity;
  • fLanguage
    English
  • Journal_Title
    Cognitive Communications and Networking, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2332-7731
  • Type

    jour

  • DOI
    10.1109/TCCN.2015.2488633
  • Filename
    7296629