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Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

Research Article

A Fast Frequency Switching Algorithm for Multi-parameter Fusion Decision Mechanism

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  • @INPROCEEDINGS{10.1007/978-3-319-73317-3_4,
        author={Kaizhi Peng and Binbin Xu and Rui Fu and Xiaoling Liu},
        title={A Fast Frequency Switching Algorithm for Multi-parameter Fusion Decision Mechanism},
        proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings},
        proceedings_a={ADHIP},
        year={2018},
        month={2},
        keywords={Cognitive radio Spectrum handoff Reactive-sensing mechanism},
        doi={10.1007/978-3-319-73317-3_4}
    }
    
  • Kaizhi Peng
    Binbin Xu
    Rui Fu
    Xiaoling Liu
    Year: 2018
    A Fast Frequency Switching Algorithm for Multi-parameter Fusion Decision Mechanism
    ADHIP
    Springer
    DOI: 10.1007/978-3-319-73317-3_4
Kaizhi Peng1,*, Binbin Xu1,*, Rui Fu1,*, Xiaoling Liu1,*
  • 1: Wuhan Maritime Communication Research Institute
*Contact email: pengkz722@163.com, 490366845@qq.com, 522721238@qq.com, lain_lxl@163.com

Abstract

In order to improve the transmission performance of the cognitive users in the tactical wireless network of warship formations, this paper we focus on the modeling technique and performance analysis for a fast frequency switching algorithm for Multi-parameter fusion decision. By developing a Multi-parameter fusion decision model, the closure expression of the fast frequency switching delay is derived, then the combined effects of the arrival rates of the primary users’ connections and the arrival rates of the secondary users’ connections on the cumulative handoff delay distribution is simulated. Based on the analytical results, suitable ship scheduling mechanism can be designed.

Keywords
Cognitive radio Spectrum handoff Reactive-sensing mechanism
Published
2018-02-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73317-3_4
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