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