• DocumentCode
    1996009
  • Title

    Cooperative MIMO Paradigms for Cognitive Radio Networks

  • Author

    Wei Chen ; Liang Hong

  • Author_Institution
    Coll. of Eng., Tennessee State Univ., Nashville, TN, USA
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    734
  • Lastpage
    740
  • Abstract
    This paper investigates the benefits that cooperation brings to cognitive radio networks. We focus on the cooperative Multiple Input Multiple Output (MIMO) technology, where multiple distributed secondary users cooperate on data transmission and reception. Energy efficient cooperative MIMO paradigms are proposed to maximize the diversity gain and significantly improve the performance of both overlay and underlay systems. In the proposed overlay system the secondary users can assist (relay) the primary transmissions even when they are far away from the primary users. In the proposed underlay system the secondary users can share the primary users´ frequency resources without any knowledge about the primary users´ signals while meet the strict interference constraint that the transmitted spectral density of the secondary users falls below the noise floor at the primary receivers. Numerical and experimental results are provided in order to discuss the advantages and limits of the proposed paradigms.
  • Keywords
    MIMO communication; cognitive radio; cooperative communication; overlay networks; radio networks; radio receivers; radio reception; radiofrequency interference; cognitive radio network; data reception; data transmission; diversity gain maximization; energy efficient cooperative MIMO paradigm; interference constraint; multiple distributed secondary user; multiple input multiple output technology; overlay system; primary receiver; primary user frequency resource; spectral density transmission; underlay system; Bit error rate; Cognitive radio; Data communication; Energy consumption; MIMO; Receivers; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.9
  • Filename
    6650950