2nd International ICST Conference on Communications and Networking in China

Research Article

Weighted-Collaborative Spectrum Sensing in Cognitive Radio

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469340,
        author={Xiaoge Huang and Ning Han and Guanbo Zheng and Sunghwan Sohn and Jaemoung Kim},
        title={Weighted-Collaborative Spectrum Sensing in Cognitive Radio},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        keywords={Additive white noise  Analytical models  Cognitive radio  Collaboration  FCC  Fading  Frequency  Rayleigh channels  Shadow mapping  Working environment noise},
  • Xiaoge Huang
    Ning Han
    Guanbo Zheng
    Sunghwan Sohn
    Jaemoung Kim
    Year: 2008
    Weighted-Collaborative Spectrum Sensing in Cognitive Radio
    DOI: 10.1109/CHINACOM.2007.4469340
Xiaoge Huang1,*, Ning Han1,*, Guanbo Zheng1,*, Sunghwan Sohn1,*, Jaemoung Kim1,*
  • 1: The Graduate School of Information Technology & Telecommunications Inha University, Incheon, Korea
*Contact email: vvyaoguai@sina.com, neil_han@ieee.org, gbzheng@gmail.com, kittisn@naver.com, jaekim@inha.ac.kr


Cognitive Radio is an advanced enabling technology for efficient utilization of under-utilized spectrum since it is able to sense the spectrum and use the frequency when the primary users are absent. Recent investigation suggests that spectrum sensing is compromised when a user experiences fading or shadowing. In order to combat such effects, collaborative sensing is presented. However, the conventional collaborative sensing is not effective when users suffer from different fading environments. In this paper, we propose a weighted-collaborative scheme to improve the spectrum sensing performance under fading environment. The analysis of the simulation results proves that the weighted-collaborative scheme improves sensing performance obviously.