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http://dx.doi.org/10.5909/JBE.2015.20.2.215

Optimal Harvesting Time Allocation Scheme for Maximizing Throughput in Wireless Cognitive Relay Network with Secondary Energy Harvesting Relay  

Im, Gyeongrae (Department of Electrical and Computer Engineering and INMC, Seoul National Univ.)
Lee, Jae Hong (Department of Electrical and Computer Engineering and INMC, Seoul National Univ.)
Publication Information
Journal of Broadcast Engineering / v.20, no.2, 2015 , pp. 215-223 More about this Journal
Abstract
Energy harvesting technique is an energy charging technique for communication device in energy-constrained environment. Recently, energy harvesting technique that harvests energy from wireless radio frequency signal is proposed. Representatively, there are time switching technique and power splitting technique. This paper proposes an optimal harvesting time allocation scheme in a wireless cognitive relay network when secondary user relay uses energy harvesting technique to transmit information. Secondary user relay receives information and energy simultaneously from the secondary user source's signal via time switching technique. We aim to maximize the instantaneous throughput by optimizing harvesting time of the secondary user relay. Simulation results show that using optimized harvesting time gets larger instantaneous throughput compared to using constant harvesting time.
Keywords
Energy harvesting; time switching; cognitive radio; amplify-and-forward relaying;
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1 L. R. Varshney, “Transporting information and energy simultaneously,” in Proc. IEEE ISIT 2008, Toronto, Canada, July 2008.
2 T. W. Ban, W. Choi, B. C. Jung, and D. K. Sung, “Multi-user diversity in a spectrum sharing system," IEEE Trans. Wireless Commun., vol. 8, no. 1, pp. 102-106, Jan. 2009.   DOI   ScienceOn
3 X. Zhou, R. Zhang, and C. K. Ho, “Wireless information power transfer: Archtecture design and rate-energy tradeoff,” in Proc. IEEE GLOBECOM 2012, Anaheim, CA, Dec. 2012.
4 P. Grover and A. Sahai, “Shannon meets Tesla: Wireless information and power transfer,” in Proc. IEEE Int’l Symp. Inf. Theory, Jun. 2010, pp. 2363-2367.
5 A. A .Nasir, X. Zhou, S. Durrani, and R. A. kennedy, “Relaying protocols for wireless energy harvesting and information processing,” IEEE Trans. Wireless Commun., vol. 12, no. 7, pp. 3622-3636, July 2013.   DOI   ScienceOn
6 X. Lu, W. Xu, S. Li, J. Lin, and Z. He, “Simultaneous information and power transfer for relaying assisted cognitive radio networks,” in Proc. IEEE ICC 2014, Sydney, Australia, June 2014.
7 Z. Wang, Z. Chen, L. Luo, Z. Hu, B. Xia, and H. Liu, “Outage analysis of cognitive relay networks with energy harvesting and information transfer,” in Proc. IEEE ICC 2014, Sydney, Australia, June 2014.
8 S. Yin, E. Zhang, Z. Qu, L. Yin, and S. Li, “Optimal cooperation strategy in cognitive radio systems with energy harvesting,” IEEE Trans. Wireless Commun., vol. 13, no. 9, pp. 4693-4707, Sept. 2014.   DOI   ScienceOn
9 A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: an information theoretic perspective," Proc. IEEE, vol. 97, no. 5, pp. 894-914, May 2009.   DOI   ScienceOn