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

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Advanced Hybrid Information Processing (ADHIP 2018)

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.

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Acknowledgment

This work was supported in part by the National Natural Science Foundation of China under Grant 61871398, Grant 61501510, and Grant 61601192, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20150717, in part by the China Postdoctoral Science Funded Project under Grant 2018T110426.

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Correspondence to Chujie Wu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wu, C., Cheng, Y., Gong, Y., Zhang, Y., Huang, F., Ding, G. (2019). Multi-user ALE for Future HF Radio Communication by Leveraging Wideband Spectrum Sensing and Channel Prediction. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-19086-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19085-9

  • Online ISBN: 978-3-030-19086-6

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