• DocumentCode
    2204623
  • Title

    Cooperative spectrum sensing algorithm based on Dempster-Shafer theory

  • Author

    Zheng, Xueqiang ; Wang, Jinlong ; Wu, Qihui ; Chen, Juan

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    In cognitive radio systems, unlicensed users can use the frequency bands when the licensed users are not present. Hence reliable detection of available spectrum is the foundation of cognitive radio technology. In order to efficiently detect the licensed users under prior knowledge constraints in the fusion center, a novel cooperative spectrum sensing algorithm based on Dempster-Shafer theory is proposed. In this novel algorithm, the credibility and uncertainty are calculated based on the local sensing result of cognitive radios, then fused at the fusion center using Dempster-Shafer theory. The simulation results show that the performance of the novel algorithm is better than energy fusion method. If unlicensed users know more prior knowledge, the performance of the novel algorithm is the same as the optimal linear cooperative spectrum sensing algorithm.
  • Keywords
    cognitive radio; sensor fusion; spectral analysers; uncertainty handling; Dempster-Shafer theory; cognitive radio systems; cognitive radio technology; frequency bands; fusion center; licensed users; optimal linear cooperative spectrum sensing algorithm; Cognitive radio; Constraint theory; Frequency; Programmable logic arrays; Radio spectrum management; Reliability engineering; Reliability theory; Signal processing; Uncertainty; Wireless networks; Dempster-Shafer theory; cognitive radio; cooperation; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737175
  • Filename
    4737175