• DocumentCode
    2939893
  • Title

    Improved Algorithm of Spectrum Allocation Based on Graph Coloring Model in Cognitive Radio

  • Author

    Wang, Jiao ; Huang, Yuqing ; Jiang, Hong

  • Author_Institution
    Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang
  • Volume
    3
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    353
  • Lastpage
    357
  • Abstract
    Cognitive radio technology is proposed to solve the problem of the scarce radio spectrum resources. In view of the spectrum allocation in cognitive radio technology, this paper first analyses the three allocation rules based on graph coloring theory which include the sum reward rules, the max-min reward rules and the proportional-fair reward rules. The simulations of the three algorithms adopt the average user-reward. And we can gain the optimal rule among the three rules by the comparing simulation. This paper also proposes an improved algorithm based on graph coloring theory. The simulation results indicate that the proposed algorithm can reduce the computation effectively and have no effect on the system reward.
  • Keywords
    cognitive radio; graph theory; spread spectrum communication; cognitive radio; graph coloring theory; max-min reward rules; proportional-fair reward rules; scarce radio spectrum resources; spectrum allocation; Cognitive radio; Computational modeling; Distributed computing; Interference; Mathematical model; Mobile communication; Mobile computing; Parallel algorithms; Resource management; Wireless communication; Cognitive radio; Graph coloring model; Improved algorithm; Spectrum allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.187
  • Filename
    4797276