Energy Signal-Aided Secure Beamforming and Self-Energy Recycling in Full-Duplex Wireless-Powered Relay Networks

Lizhen Ou, Peipei Chen, Xueshan Luo, Shuping Dang and Yuchen Sun
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Lizhen Ou: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Peipei Chen: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Xueshan Luo: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Shuping Dang: Department of Electrical and Electronic Engineering, University of Bristol, Bristol BS8 1UB, UK
Yuchen Sun: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China

Energies, 2021, vol. 14, issue 20, 1-14

Abstract: In this paper, the object of study is secure transmission and green energy transfer in full-duplex (FD) wireless-powered relay (WPR) secure systems, where an FD relay collects the power from radio-frequency signs and transmits the information in the face of multiple eavesdroppers. In order to improve the efficiency and safety of the contemporaneous wireless energy and information delivery, we propose a joint energy-signal- (ES-) aided secure beamforming and time-switch scheme under the self-power circulation protocol at the relay. The question formulated in this paper is to maximize the confidentiality rate according to energy restrictions at both the relay and energy receiver. As the question is non-salient and hard to resolve directly, we transform it into two sub-problems. For the first sub-problem, a two-level optimization technique is suggested to separately gain the optimal beamforming as well as the ES covariance. The extrinsic rank is a single-variable majorization question, which can be solved by single-dimensional (1D) examination. We attain an optimal solution to the inner level by a semi-definite relaxation (SDR) technique. For the second sub-problem, we again use 1D search to solve this problem. Moreover, we prove that SDR always exists as a level-1 optimal resolution. Mathematical outcomes show that the suggested plan can achieve a considerable gain of confidentiality rate by comparison with other benchmark plans.

Keywords: physical layer security; power collecting; contemporaneous wireless information and energy transfer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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