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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
FCC Spectrum Policy Task Force: Report of the spectrum efficiency working group. Technical report ET Docket No. 02-135, Federal Communications Commission, Washington, D.C. (2002)
Lee, S., Zhang, R., Huang, K.: Opportunistic wireless energy harvesting in cognitive radio networks. IEEE Trans. Wirel. Commun. 12(9), 4788–4799 (2013)
Zheng, M., Xu, C., Liang, W., Yu, H.: Harvesting-throughput tradeoff for RF-powered underlay cognitive radio networks. Electron. Lett. 52(10), 881–883 (2016)
Lozano, A., Tulino, A.M., Verdú, S.: Optimum power allocation for parallel Gaussian channels with arbitrary input distributions. IEEE Trans. Inf. Theory 52(7), 3033–3051 (2006)
Zhang, R., Ho, C.K.: MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Trans. Wireless Commun. 12(5), 1989–2001 (2013)
Bi, S., Ho, C.K., Zhang, R.: Wireless powered communication: opportunities and challenges. IEEE Commun. Mag. 53, 117–125 (2015)
Vu, Q.D., Tran, L.N., Farrel, R., Hong, E.K.: An efficiency maximization design for SWIPT. IEEE Signal Process. Lett. 22, 2189–2193 (2015)
Mohjazi, L., Dianati, M., Karagiannidis, G.K., Muhaidat, S.: RF-powered cognitive radio networks: technical challenges and limitations. IEEE Commun. Mag. 53, 94–100 (2015)
Zheng, G., Ho, Z., Jorswieck, E.A., Ottersten, B.: Information and energy cooperation in cognitive radio networks. IEEE Trans. Wirel. Commun. 62, 2290–2303 (2014)
Xing, H., Kang, X., Wong, K.-K., Nallanathan, A.: Optimizing DF cognitive radio networks with full-duplex-enabled energy access points. IEEE Trans. Wireless Commun. 16, 4683–4697 (2017)
Tuan, P.V., Koo, I.: Robust weighted sum harvested energy maximization for SWIPT cognitive radio networks based on particle swarm optimization. Sensors 17(10), 2275 (2017). https://doi.org/10.3390/s17102275
Nasir, A.A., Zhou, X., Durrani, S., Kennedy, R.A.: Throughput and ergodic capacity of wireless energy harvesting based DF relaying network. In: Proceedings of the IEEE ICC, pp. 4066–4071 (2014). https://doi.org/10.1109/ICC.2014.6883957
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, J., Lu, W., Peng, H., Xu, Z., Liu, X. (2018). Optimization in Cognitive Radio Networks with SWIPT-Based DF 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_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-00557-3_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00556-6
Online ISBN: 978-3-030-00557-3
eBook Packages: Computer ScienceComputer Science (R0)