• DocumentCode
    2138116
  • Title

    A Novel Spectrum Sharing Algorithm Based on the Throughput in Cognitive Radio Networks

  • Author

    Wang, Wei ; Lv, Tiejun ; Ren, Zhiyuan ; Gao, Long ; Liu, Weidong

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Spectrum sharing is of special significance among all the key technologies in cognitive radio (CR), such as spectrum sensing, spectrum management and power allocation etc. Since all the efforts in CR directly aim at enhancing spectrum utilization and spectrum sharing is the final step of all these key technologies, spectrum sharing completely determines whether CR is just a theoretical topic or a practically feasible technology. In this paper, a novel spectrum sharing strategy based on the throughput model in a cognitive radio network (CRN) is proposed, in which maximum theoretical throughput is taken into account on the research of spectrum sharing in CR. And then an optimization problem in the form of binary integer linear programming (BILP) to describe this model is formulated and a directional search (DS) algorithm to solve this BILP problem is designed. Finally, numerical results show that this strategy is quite feasible.
  • Keywords
    cognitive radio; frequency allocation; integer programming; linear programming; BILP model; binary integer linear programming; cognitive radio network; optimization problem; power allocation; spectrum sharing algorithm; spectrum utilization; Algorithm design and analysis; Biological system modeling; Chromium; Cognitive radio; Communication systems; Communications technology; Integer linear programming; Radio spectrum management; Switches; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5303442
  • Filename
    5303442