Research Article
Optimization in Cognitive Radio Networks with SWIPT-Based DF Relay
@INPROCEEDINGS{10.1007/978-3-030-00557-3_16, author={Jie Zhang and Weidang Lu and Hong Peng and Zhijiang Xu and Xin Liu}, title={Optimization in Cognitive Radio Networks with SWIPT-Based DF 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={Energy harvesting SWIPT Decode-and-forward Power splitting Cognitive radio networks}, doi={10.1007/978-3-030-00557-3_16} }- Jie Zhang
Weidang Lu
Hong Peng
Zhijiang Xu
Xin Liu
Year: 2018
Optimization in Cognitive Radio Networks with SWIPT-Based DF Relay
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_16
Abstract
Energy-constrained relay networks are normally powered by a fixed energy, which limits the runtime of networks. Energy harvesting (EH) with simultaneous wireless information and power transfer (SWIPT) is hopeful to increase the life of energy-limited relay networks. We investigate the optimization problem about power splitting ratio for SWIPT-based decode-and-forward (DF) relay in cognitive radio networks (CRNs). Secondary relaying node (SRN) harvests energy from secondary source node (SSN) then use the energy to assist forwarding SSN information to the secondary destination node (SDN). We maximize throughput of secondary users (SUs) if the interference caused by SU to the primary users (PUs) is under the threshold. Some opinions are provided through theory analysis and simulation results.