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Optimal Power Splitting of Cognitive Radio Networks with SWIPT-Enabled Relay

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Machine Learning and Intelligent Communications (MLICOM 2018)

Abstract

Cognitive radio (CR), as an intelligent spectrum sharing technology, can improve utilization of spectrum by sharing the licensed spectrum bands with secondary users (SUs) as long as do not have harmful effect on primary users (PUs). Simultaneous wireless information and power transfer (SWIPT) combines wireless information transmission (WIT) technology and wireless power transfer (WPT) technology, which harvesting energy from ambient RF signals. In this paper, we consider amplify-and-forward (AF) cognitive radio networks (CRNs) with SWIPT-enabled secondary relay node. We aim to maximize the throughput of secondary network in considering the interference caused by the transmitted signal of secondary relay node to PUs, and derived the closed-form expression of the optimal power splitting ratio. Simulation results demonstrate the performance of the optimal power splitting ratio.

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Correspondence to Yuanrong Lin .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lin, Y., Lu, W., Peng, H., Hua, J. (2018). Optimal Power Splitting of Cognitive Radio Networks with SWIPT-Enabled Relay. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_22

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  • DOI: https://doi.org/10.1007/978-3-030-00557-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00556-6

  • Online ISBN: 978-3-030-00557-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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