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Joint Optimal Power Allocation and Relay Selection Scheme in Energy Harvesting Two-Way Relaying Network

1,2, 1,2,*, 1,2 and 1,2
1
Engineering Optimization and Smart Antenna Institute, Northeastern University, Qinhuangdao 066004, China
2
School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
*
Author to whom correspondence should be addressed.
Future Internet 2019, 11(2), 47; https://doi.org/10.3390/fi11020047
Received: 8 January 2019 / Revised: 29 January 2019 / Accepted: 14 February 2019 / Published: 15 February 2019
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Abstract

In this paper, we propose a joint power allocation, time switching (TS) factor and relay selection scheme for an energy harvesting two-way relaying communication network (TWRN), where two transceivers exchange information with the help of a wireless-powered relay. By exploiting the TS architecture at the relay node, the relay node needs to use additional time slots for energy transmission, reducing the transmission rate. Thus, we propose a joint resource allocation algorithm to maximize the max-min bidirectional instantaneous information rate. To solve the original non-convex optimization problem, the objective function is decomposed into three sub-problems and solved sequentially. The closed-form solution of the transmit power of two sources and the optimal TS factor can be obtained by the information rate balancing technology and the proposed time allocation scheme, respectively. At last, the optimal relay node can be obtained. Simulation results show that the performance of the proposed algorithm is better than the traditional schemes and power-splitting (PS) scheme. View Full-Text
Keywords: energy harvesting; two-way relaying network; max-min bidirectional information rate; power allocation; relay selection energy harvesting; two-way relaying network; max-min bidirectional information rate; power allocation; relay selection
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Song, X.; Xu, S.; Xie, Z.; Han, X. Joint Optimal Power Allocation and Relay Selection Scheme in Energy Harvesting Two-Way Relaying Network. Future Internet 2019, 11, 47.

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