• DocumentCode
    1911092
  • Title

    Dynamic Spectrum Access Protocol Without Power Mask Constraints

  • Author

    Salameh, Haythem Bany ; Krunz, Marwan ; Younis, Ossama

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ
  • fYear
    2009
  • fDate
    19-25 April 2009
  • Firstpage
    2322
  • Lastpage
    2330
  • Abstract
    In this work, we investigate a statistical approach for dynamic spectrum access and radio resource management (RRM) in opportunistic cognitive radio (CR) networks. We propose a distributed MAC protocol for such networks that enables unlicensed users to dynamically utilize the available spectrum while limiting the imposed interference on primary (PR) users. Our proposed protocol is novel in three aspects. First, it does not require CR users to coordinate with PR users. Second, it does not assume any predefined CR-to-PR power mask, and thus can exploit the available spectrum more efficiently. Third, it provides the PR users with a statistical guarantee on the fraction of time that their reception may be corrupted by CR users. To avoid corrupting PR user receptions, the protocol computes the maximum power that a CR transmission can use based on current network conditions. We show how to compute this maximum power by deriving models for the PR-to-CR and PR-to-PR interference. Simulation experiments illustrate that our MAC protocol can satisfy the statistical guarantee for PR users under various user deployment models and traffic loads.
  • Keywords
    access protocols; cognitive radio; MAC protocol; cognitive radio networks; power mask constraints; radio resource management; spectrum access protocol; Access protocols; Chromium; Cognitive radio; Computational modeling; Computer networks; Interference constraints; Load modeling; Media Access Protocol; Resource management; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2009, IEEE
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-3512-8
  • Electronic_ISBN
    0743-166X
  • Type

    conf

  • DOI
    10.1109/INFCOM.2009.5062158
  • Filename
    5062158