Beamforming for Simultaneous Wireless Information and Power Transfer in Two-Way Relay Channels

被引:56
作者
Wang, Wei [1 ,2 ]
Wang, Rui [3 ]
Mehrpouyan, Hani [4 ]
Zhao, Nan [5 ]
Zhang, Guoan [6 ]
机构
[1] Nantong Univ, Dept Commun Engn, Nantong 226019, Peoples R China
[2] Nantong Res Inst Adv Commun Technol, Nantong 226019, Peoples R China
[3] Tongji Univ, Dept Informat & Commun, Shanghai 201804, Peoples R China
[4] Boise State Univ, Dept Elect & Comp Engn, Boise, ID 83725 USA
[5] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[6] Nantong Univ, Dept Commun Engn, Nantong 226019, Peoples R China
基金
中国国家自然科学基金;
关键词
Beamforming; energy harvesting (EH); simultaneous wireless information and power transfer (SWIPT); two-way relaying (TWR); power splitting (PS); COOPERATIVE DIVERSITY; ENERGY-TRANSFER; NETWORKS; PROTOCOLS;
D O I
10.1109/ACCESS.2017.2701830
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the beamforming designs for simultaneous wireless information and power transfer systems in two-way relaying (TWR) channels. The system consists of two energy-constrained source nodes which employ the power splitting (PS) to receive the information and the energy simultaneously from the power-supply relay. To maximize the weighted sum energy subject to the constraints of the quality of service and the transmit powers, three well-known relaying protocols, i.e., amplify-and-forward, bit level XOR-based decode-and-forward (DF), and symbol level superposition coding-based DF, are considered. For each relaying protocol, we formulate the joint relay beamforming, the source transmit power, and the PS ratios optimization as a nonconvex quadratically constrained problem. To solve the complex nonconvex problem, we decouple the objective problem into two subproblems in which one is to optimize the beamforming vectors while another is to optimize the remaining parameters. We show that the optimal solution of each subproblem can be obtained in the closed-form expressions. The solution is finally obtained with the proposed convergent iterative algorithm. Extensive numerical results demonstrate the advantage of adapting the different relaying strategies and weighted factors to harvest energy in TWR channels.
引用
收藏
页码:9235 / 9250
页数:16
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