Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21–23, 2015, Revised Selected Papers

Research Article

Channel Transition Monitoring Based Spectrum Sensing in Mobile Cognitive Radio Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-24540-9_16,
        author={Meimei Duan and Zhimin Zeng and Caili Guo and Fangfang Liu},
        title={Channel Transition Monitoring Based Spectrum Sensing in Mobile Cognitive Radio Networks},
        proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers},
        proceedings_a={CROWNCOM},
        year={2015},
        month={10},
        keywords={Channel transition monitoring Spectrum sensing Mobile cognitive radio Opportunistic spectrum},
        doi={10.1007/978-3-319-24540-9_16}
    }
    
  • Meimei Duan
    Zhimin Zeng
    Caili Guo
    Fangfang Liu
    Year: 2015
    Channel Transition Monitoring Based Spectrum Sensing in Mobile Cognitive Radio Networks
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-24540-9_16
Meimei Duan1,*, Zhimin Zeng1,*, Caili Guo1,*, Fangfang Liu1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: mmduan.1276@163.com, zengzm@bupt.edu.cn, guocaili@gmail.com

Abstract

Spectrum sensing is a key technique for providing an opportunistic spectrum band in cognitive radio networks. The opportunistic spectrum is determined by the channel state. Mobility makes the problem of the traditional sensing mechanism more severe than in static scenarios. In this paper the channel transition monitoring based spectrum sensing mechanism is proposed. The proposed scheme not only reduces the influence of mobility on the current sensing mechanism, but also ensures reliability of the sensing and improves the spectrum efficiency. Our simulation results show that the proposed mechanism outperforms the traditional mechanism. Our method supplements the traditional sensing mechanism and enhances the efficiency of cognitive radio networks.