Wireless Information and Energy Transfer in Nonregenerative OFDM AF Relay Systems

被引:6
作者
Huang, Gaofei [1 ]
Tu, Wanqing [2 ]
机构
[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China
[2] Robert Gordon Univ, Sch Comp Sci & Digital Media, Aberdeen, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Energy harvesting (EH); Simultaneous wireless information and energy transfer (SWIET); Orthogonal-frequency-division multiplexing (OFDM); Relay; Resource allocation; Quasi-convex optimization; POWER TRANSFER; DESIGN;
D O I
10.1007/s11277-016-3768-9
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Energy harvesting (EH) is a promising strategy to prolong the operation of energy-constrained wireless systems. Simultaneous wireless information and energy transfer (SWIET) is a potential EH technique which has recently drawn significant attention. By employing SWIET at relay nodes in wireless relay systems, the relay nodes can harvest energy and receive information from their source nodes simultaneously as radio signals can carry energy as well as information at the same time, which solves the energy scarcity problem for wireless relay nodes. In this paper, we study SWIET for nonregenerative orthogonal-frequency-division multiplexing (OFDM) amplify-and-forward systems in order to maximize the end-to-end achievable rate by optimizing resource allocation. Firstly, we propose an optimal energy-transfer power allocation policy which utilizes the diversity provided by OFDM modulation. We then validate that the ordered-signal-to-noise ratio (SNR) subcarrier pairing (SP) is the optimal SP scheme. After that, we investigate the information-transfer power allocation (IPA) and EH time optimization problem which is formulated as a non-convex optimization problem. By making the approximation at high SNR regime, we convert this non-convex optimization problem into a quasi-convex programming problem, where an algorithm is derived to jointly optimize the IPA and EH time. By analytical analysis, we validate that the proposed resource allocation scheme has much lower computational complexity than peer studies in the literature. Finally, simulation results verify the optimality of our proposed resource allocation scheme.
引用
收藏
页码:3131 / 3146
页数:16
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