Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Multi-user ALE for Future HF Radio Communication by Leveraging Wideband Spectrum Sensing and Channel Prediction

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_6,
        author={Chujie Wu and Yunpeng Cheng and Yuping Gong and Yuming Zhang and Fei Huang and Guoru Ding},
        title={Multi-user ALE for Future HF Radio Communication by Leveraging Wideband Spectrum Sensing and Channel Prediction},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={HF radio communication Multi-user Channel probing Channel selection strategy SLA learning algorithm},
        doi={10.1007/978-3-030-19086-6_6}
    }
    
  • Chujie Wu
    Yunpeng Cheng
    Yuping Gong
    Yuming Zhang
    Fei Huang
    Guoru Ding
    Year: 2019
    Multi-user ALE for Future HF Radio Communication by Leveraging Wideband Spectrum Sensing and Channel Prediction
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_6
Chujie Wu1,*, Yunpeng Cheng1,*, Yuping Gong1,*, Yuming Zhang1,*, Fei Huang1,*, Guoru Ding1,*
  • 1: Army Engineering University of PLA
*Contact email: chujie128@163.com, chengyp2000@vip.sina.com, gyp78@sina.com, zhangym_2000@163.com, huangfeicjh@sina.com, dr.guoru.ding@ieee.org

Abstract

HF cognitive radio is considered to be one direction of fourth generation HF radios. In this paper, we investigate the problem of multi-user HF radio communication by leveraging the techniques of cognitive radio. In the presented system model, we consider the determination of optimal path between two points and propose a channel probing method based on coarse granularity wideband spectrum sensing as well as channel prediction. To cope with the problem of channel selection and link establishment, we adjust the channel selection strategy after every probing based on Stochastic Learning Automata (SLA) learning algorithm. The experimental results show that the channel selection based on SLA learning algorithm is better than random channel selection, and channel selection with predicted wideband spectrum sensing performs better in system performances than no-predicted narrowband spectrum sensing.