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IEEE Wireless Communications Letters

Secure Beamforming for Full-Duplex Wireless Powered Communication Systems With Self-Energy Recycling

Wei Qiang Wu, Baoyun Wang, Zhixiang Deng, Haiyang Zhang

Published Dec 21, 2016• 28 citations
Publisher

Abstract

In this letter, we study a novel multi-antenna wireless powered communication (WPC) system consisting of an energy source (ES), a full-duplex self-energy recycling information source (IS), an information receiver (IR), and an energy receiver (ER) (potential eavesdropper). The energy-constrained IS, powered by ES, sends the confidential information to IR over the wiretap channel. Our goal is to maximize the secrecy rate for IR by jointly optimizing the energy and information beamforming vectors, under the constraints of the transmit power at ES and IS and the harvested energy at ER. To solve the formulated non-convex problem, a partial Lagrange dual method coupled with two-stage optimization method is proposed, which derives the optimal solution in semi-closed form. Numerical results show the superiority of our proposed design compared with the existing schemes.

DOI
10.1109/lwc.2016.2642954

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In this letter, we study a novel multi-antenna wireless powered communication (WPC) system consisting of an energy source (ES), a full-duplex self-energy recycling information source (IS), an information receiver (IR), and an energy receiver (ER) (potential eavesdropper). The energy-constrained IS, powered by ES, sends the confidential information to IR over the wiretap channel. Our goal is to maximize the secrecy rate for IR by jointly optimizing the energy and information beamforming vectors, under the constraints of the transmit power at ES and IS and the harvested energy at ER. To solve the formulated non-convex problem, a partial Lagrange dual method coupled with two-stage optimization method is proposed, which derives the optimal solution in semi-closed form. Numerical results show the superiority of our proposed design compared with the existing schemes.
In this paper, we study a multiuser wireless powered communication system, where an energy-constrained full-duplex information transmitter (IT), powered by wireless energy from a dedicated energy transmitter (ET), intends to send confidential information to the information receiver (IR) in the presence of multiple idle users that could be the potential eavesdroppers. In the practical scenario of imperfect channel state information and assuming that the idle users need to harvest energy from the ET, we aim to maximize the worst-case secrecy rate at the IR by jointly optimizing the transmit covariance matrix at the ET as well as the information beamforming and artificial noise covariance at the IT, subject to their individual transmit power constraints and the minimum required power transferred to the idle users. We employ the semidefinite relaxation (SDR) and extended S-procedure approaches to transform the original nonconvex optimization problem into convex problem, which can be efficiently solved by solving a sequence of semidefinite programs. Furthermore, we show that the SDR is tight since there always exists a rank-one optimal solution. For performance comparison, two heuristic schemes for ease of implementation are also developed. Numerical results are presented to show the effectiveness of our proposed schemes.
This paper focuses on the secure transmission of wireless-powered relay systems with the imperfect eavesdropper channel state information. For efficient energy transfer and information relaying, a novel two-phase protocol is proposed, in which the relay operates in a full-duplex (FD) mode to achieve the simultaneous wireless power and information transmission. Compared with those existing protocols, the proposed design possesses two main advantages: 1) it fully exploits the available hardware resource (antenna element) of relay and can offer a higher secrecy rate and 2) it enables the self-energy recycling (S-ER) at relay, in which the loopback interference generated by the FD operation is harvested and reused for information relaying. To maximize the worst-case secrecy rate (WCSR) through jointly designing the source and relay beamformers coupled with the power allocation ratio, an optimization problem is formulated. This formulated problem is proved to be non-convex and the challenge to solve it is how to concurrently solve out the beamformers and the power allocation ratio. To cope with this difficulty, an alternative approach is proposed by converting the original problem into three subproblems. By solving these subproblems iteratively, the closed-form solutions of robust beamformers and power allocation ratio for the original problem are achieved. Simulations are done and results reveal that the proposed S-ER -based secure transmission scheme outperforms the traditional time-switching based relaying scheme at a maximum WCSR gain of 80%. Results also demonstrate that the WCSR performance of the scheme reusing all antennas for information reception is much better than that of schemes exploiting only one antenna.
In this paper, we consider a secrecy wireless powered communication network, where an information source (IS) transmits message to a legitimate information receiver (IR) with the energy it harvests from the energy source (ES) and a full-duplex (FD) active eavesdropper (AE) performs eavesdropping and jamming simultaneously with the energy it harvests from the ES. With a goal to maximize the achievable secrecy rate, we jointly optimize the energy beamforming and the artificial noise (AN) beamforming at the ES, the information beamforming at the IS and the energy transfer time at the ES. Numerical results are given to show the superiority of our proposed scheme.
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.
This letter considers wireless-powered cooperative jamming to secure communication between a transmitter (Tx) and an information receiver, in the presence of an energy receiver (ER), which is termed a potential eavesdropper. The full-duplex jammer harvests energy from the Tx's information signal and transmits jamming signal at the same time, where the jamming signal not only confounds the ER (potential eavesdropper) but also charges the ER. Our goal is to maximize the secrecy information rate by jointly optimizing the power allocation at the Tx and jammer, while maintaining the harvested energy requirement of the ER. The studied problem is non-convex and we propose the optimal solution based on the Lagrange method. Simulation results show that the proposed scheme significantly outperforms the benchmark schemes.
In this paper, we consider a simultaneous wireless information and power transfer (SWIPT) system with a full-duplex (FD) receiver and an energy-harvesting (EH) eavesdropper. The FD receiver decodes the information that should be kept secret from the EH eavesdropper and sends jamming signals to degrade the eavesdropper simultaneously using the energy it harvests from the source. An optimization problem is formulated to maximize the worst-case secrecy rate taking into account the eavesdropper channel uncertainties. A SDR-based method is proposed to solve this problem. Numerical results are given to show the superiority of our proposed scheme.