Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Sensing-Throughput Tradeoff in Spectrum Handoff-Based Cognitive Radio

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_18,
        author={Xin Liu and Weidang Lu and Feng Li},
        title={Sensing-Throughput Tradeoff in Spectrum Handoff-Based Cognitive Radio},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Cognitive radio Energy sensing Throughput Sampling frequency Detection probability},
        doi={10.1007/978-3-319-52730-7_18}
    }
    
  • Xin Liu
    Weidang Lu
    Feng Li
    Year: 2017
    Sensing-Throughput Tradeoff in Spectrum Handoff-Based Cognitive Radio
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_18
Xin Liu,*, Weidang Lu1, Feng Li1
  • 1: Zhejiang University of Technology
*Contact email: liuxinstar1984@dlut.edu.cn

Abstract

In cognitive radio (CR), there is a tradeoff between spectrum sensing time and throughput of secondary user (SU). In order to improve the SU’s throughput, a sensing-throughput tradeoff in spectrum-handoff based CR is proposed, which allows the SU to search and transfer to a new idle channel to continue communication, when the PU is present. An optimization problem is proposed to maximize the SU’s throughput in the proposed scheme through jointly optimizing the sensing time, the searching time and the number of available channels subject to the detection probability to the PU. The simulation results show that there exist the optimal solutions to the proposed scheme and the proposed scheme outperforms the conventional scheme notably.