8th International Conference on Communications and Networking in China

Research Article

Optimal Threshold for Dual-stage Spectrum Sensing in Cognitive Radio

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694734,
        author={Sumin Deng and Yanli Ji and Fan Zhou and Lei Du and Ben Wang and Weidong Wang},
        title={Optimal Threshold for Dual-stage Spectrum Sensing in Cognitive Radio},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={cognitive radio; spectrum sensing; suml; dual-stage; threshold},
        doi={10.1109/ChinaCom.2013.6694734}
    }
    
  • Sumin Deng
    Yanli Ji
    Fan Zhou
    Lei Du
    Ben Wang
    Weidong Wang
    Year: 2013
    Optimal Threshold for Dual-stage Spectrum Sensing in Cognitive Radio
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694734
Sumin Deng1,*, Yanli Ji1, Fan Zhou1, Lei Du1, Ben Wang2, Weidong Wang1
  • 1: Beijing University of Posts and Telecommunications
  • 2: No.28 Research Institute, China Electronics Technology Group Corporation
*Contact email: joy_stephanie@sina.cn

Abstract

Cognitive radio (CR) is a typical technology to allow secondary users use the licensed spectrum resource dynamically. Spectrum sensing is one of the important technics in CR. In this paper, optimal threshold for dual-stage spectrum sensing is researched. Two-threshold energy detection (ED) and one-threshold cyclostationary feature detection (CFD) are chosen as the coarse sensing technique and the fine sensing technique respectively. Given the characteristics of the two sensing techniques, optimal thresholds of dual-stage spectrum sensing are deduced based on Sequential Unconstrained Minimization Technique. Both sensing speed and accuracy are considered at the same time to get the optimal sensing performance. The simulation results show that the optimal thresholds improve the performance of spectrum sensing compared with the existing representative dual-stage sensing scheme.