• DocumentCode
    501189
  • Title

    A Novel Spectrum Allocation Mechanism Based on Graph Coloring and Bidding Theory

  • Author

    Liu, Yutao ; Xu, Guisen ; Tan, Xuezhi

  • Author_Institution
    Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    Cognitive radios (CRs) have a potential to improve spectrum utilization by enabling users to access the spectrum dynamically without disturbing licensed primary users (PUs). In this paper, we consider the spectrum allocation in wireless networks with multiple selfish secondary users (SUs) and a spectrum pool formed by underutilized spectrum of primary users. A novel spectrum allocation mechanism is proposed to obtain the overall utility of both primary and secondary users, in which graph coloring and bidding theory play an important role. Moreover, the traditional mechanisms such as distributed random and greedy algorithms are presented in this paper. The simulation results show that our proposed scheme not only have a similar performance to the optimal allocation algorithm, but also can obtain the profit of primary users.
  • Keywords
    cognitive radio; graph colouring; spread spectrum communication; bidding theory; cognitive radios; distributed random algorithms; graph coloring; greedy algorithms; licensed primary users; multiple selfish secondary users; optimal allocation algorithm; secondary users; spectrum allocation mechanism; spectrum pool; spectrum utilization; wireless networks; Cognitive radio; Communication industry; Computational intelligence; FCC; Greedy algorithms; Interference; Pricing; Resource management; Space technology; Wireless networks; cognitive radio; distributed collusion; interference graph; secondary users; system utility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.98
  • Filename
    5231260