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Probabilistic-Constrained Simultaneous Wireless Information and Power Transfer for Multiple-Relay Networks

Miaomiao Song1, Meng Zhang2, Li Li1 , and Hanwen Luo3
1.College of Information,Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
2.Sharp Laboratories of China, Shanghai 200234, China
3.Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 201100, China
Abstract—Simultaneous Wireless Information and Power Transfer (SWIPT) potentially offers great convenience to prolong the lifetime of energy-constrained nodes in wireless networks. This paper considers multiple-relay network that incorporates SWIPT where the Base Station (BS) communicates with the user through the help of multiple single-antenna relays. A relay beamforming and energy harvest design is proposed to maximize the probability of the Signal-to-Noise-Ratio (SNR) of the user larger than a pre-defined threshold while not violating the power constraint of relays and guaranteeing the energy of the user received from probabilistic perspective. Then, we use S-lemma transform probabilistic-constrained problem into non-probability. An iteration-based algorithm is devised to solve this problem. Simulation results verify the effectiveness of the proposed scheme, which can achieve better tradeoff between the power consumption of relays and the user’s SNR.

Index Terms—Beamforming, energy harvest, multiple-relay networks, probabilistic constraint

Cite: Miaomiao Song, Meng Zhang, Li Li, and Hanwen Luo, "Probabilistic-Constrained Simultaneous Wireless Information and Power Transfer for Multiple-Relay Networks," Journal of Communications, vol. 10, no. 7, pp. 497-502, 2015. Doi: 10.12720/jcm.10.7.497-502
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