• DocumentCode
    2747105
  • Title

    Xpec: A cross-layer spectrum assignment in Cognitive Radio networks

  • Author

    Canberk, Berk ; Oktug, Serna

  • Author_Institution
    Dept. of Comput. Eng., Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2010
  • fDate
    16-18 Dec. 2010
  • Firstpage
    67
  • Lastpage
    69
  • Abstract
    In Cognitive Radio (CR) networks, the licensed but vacant spectrum bands are assigned to the CR users in an opportunistic manner. These assignments should be realized according to the activities of the licensed users in the spectrum as well as the throughput requirements of the CR users. Considering these two main challenges, in this paper, we investigate the spectrum assignment problem in centralized cognitive radio (CR) networks using a cross-layer perspective. The proposed cross-layer approach, so-called Xpec, combines the observation of the licensed users´ activities and the throughput requirements of the CR users. More specifically, Xpec takes the SNR observations of the licensed users´ activities from the physical layer and the throughput requests of the CR users from the MAC layer to derive a weighted spectrum assignment strategy. The evaluations show that the proposed Xpec provides higher spectrum utilization and better fairness than the traditional layered strategy under heterogeneous channel conditions.
  • Keywords
    cognitive radio; radio spectrum management; MAC layer; Xpec; cognitive radio networks; cross-layer spectrum assignment; licensed users; physical layer; spectrum utilization; vacant spectrum bands; Base stations; Cross layer design; MATLAB; Routing; Signal to noise ratio; Throughput; Wireless sensor networks; Cognitive Radio Networks; Cross-Layer Design; Fairness; SNR Observations; Spectrum Assignment; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Networks and Telecommunication Systems (ANTS), 2010 IEEE 4th International Symposium on
  • Conference_Location
    Mumbai
  • ISSN
    2153-1676
  • Print_ISBN
    978-1-4244-9852-9
  • Type

    conf

  • DOI
    10.1109/ANTS.2010.5983531
  • Filename
    5983531