• DocumentCode
    1974668
  • Title

    A quadrature signaling based cooperative scheme for Cognitive Radio Networks

  • Author

    Yujie Tang ; Mark, Jon W.

  • Author_Institution
    Centre for Wireless Commun., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    1483
  • Lastpage
    1487
  • Abstract
    A two-phase cooperative framework in Cognitive Radio Networks (CRNs), whereby the secondary users (SUs) can fully exploit the transmission opportunities through cooperation with primary users (PUs), is proposed. Specifically, the SU cooperates with the active PU to improve the PU´s utility. As a reward, the period of time when the PU is inactive, is allocated to the cooperating SU for its own transmissions. During the cooperation, the PU and the cooperating SU use quadrature amplitude modulation (QAM) to attain orthogonal signaling to cooperate efficiently, while the SU selects the optimal power allocation coefficient to maximize the performance of the PU, when its own transmission requirement is satisfied. The SU selection and power allocation determination procedure is formulated as a nonlinear optimization problem. The closed-form solution is derived. Numerical results demonstrate that, with the proposed cooperative strategy, the PU can achieve optimal performance and the SU can gain transmission opportunities through cooperation.
  • Keywords
    cognitive radio; cooperative communication; nonlinear programming; quadrature amplitude modulation; CRN; QAM; cognitive radio networks; cooperative scheme; nonlinear optimization problem; optimal power allocation coefficient; power allocation determination procedure; primary users; quadrature amplitude modulation; quadrature signaling; secondary users; transmission opportunities; two-phase cooperative framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503323
  • Filename
    6503323