Journal on Communications ›› 2018, Vol. 39 ›› Issue (2): 43-52.doi: 10.11959/j.issn.1000-436x.2018023

• Papers • Previous Articles     Next Articles

Beamforming design for energy-constrained full-duplex two-way relaying system

Wei WANG1,2,3,Liyuan AN1,Guoan ZHANG1,3,Shibing ZHANG1,2,3   

  1. 1 School of Electronics and Information,Nantong University,Nantong 226019,China
    2 Nantong Research Institute for Advanced Communication Technologies,Nantong 226019,China
    3 Tongke School of Microelectronics,Nantong University,Nantong 226019,China
  • Revised:2017-12-10 Online:2018-02-01 Published:2018-03-28
  • Supported by:
    The National Natural Science Foundation of China(61771263);The National Natural Science Foundation of China(61371111);The National Natural Science Foundation of China(61371112);The National Natural Science Foundation of China(61371113);The Top-Notch Academic Programs Project of Jiangsu Higher Education Institutions(PPZY2015B135);The Science and Technology Program of Nantong(GY22017013);The Open Research Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology(KFKT2017B02);The Open Research Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology(KFKT2016B02)

Abstract:

A beamforming design was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.A utility optimization problem was considered aiming to maximize the harvested energy by jointly optimizing the beamforming matrix,the power splitting ratio at the relay and the transmit powers at the sources.Since the formulated joint optimization problem was nonconvex,it was difficult or even intractable to obtain the global optimal solution.To overcome this issue,the objective problem into three subproblems was decoupled which could be solved by the proposed semidefinite relaxation technique and the derived constraints activation solution,respectively.The solution was finally obtained with the proposed convergent iterative algorithm.Simulation results show that the proposed joint optimization scheme achieves the optimal performance.Compared with the traditional half-duplex (HD) algorithm,the proposed algorithm can obtain 2~3 times energy harvesting (EH) efficiency improvement,while the computational complexity increases slightly.

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