Research Article
Optimal Power Splitting of Cognitive Radio Networks with SWIPT-Enabled Relay
@INPROCEEDINGS{10.1007/978-3-030-00557-3_22, author={Yuanrong Lin and Weidang Lu and Hong Peng and Jingyu Hua}, title={Optimal Power Splitting of Cognitive Radio Networks with SWIPT-Enabled Relay}, proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings}, proceedings_a={MLICOM}, year={2018}, month={10}, keywords={Simultaneous wireless information and power transfer Cognitive networks Amplify-and-forward Throughput}, doi={10.1007/978-3-030-00557-3_22} }- Yuanrong Lin
Weidang Lu
Hong Peng
Jingyu Hua
Year: 2018
Optimal Power Splitting of Cognitive Radio Networks with SWIPT-Enabled Relay
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_22
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.
