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IEEE Wireless Communications and Networking Conference

Artificial-noise-aided secure beamforming in full-duplex wireless-powered relay

Myoungjun Ko, Sangseok Yun, Junguk Park, Jeongseok Ha

Published Apr 1, 2018• 1 citation
Publisher

Abstract

This paper studies a wireless powered relaying (WPR) system in which a source transmits an information signal to a destination with the help of an energy constrained relay in the presence of an eavesdropper. This work considers a scenario in the full-duplex WPR system where the information transmission/reception and the energy harvesting are performed simultaneously at the relay. We first derive an achievable secrecy rate of the system and formulate a joint optimization problem of artificial-noise-aided secure beamforming to maximize the achievable secrecy rate. Then, an efficient semi-definite relaxation (SDR) based algorithm is proposed to obtain the optimal beamforming. Furthermore, we also propose three suboptimal beamforming but low computational complexity schemes. Comparisons are carried out among the performances of the proposed optimal and suboptimal schemes.

DOI
10.1109/wcnc.2018.8377251

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This paper studies a wireless powered relaying (WPR) system in which a source transmits an information signal to a destination with the help of an energy constrained relay in the presence of an eavesdropper. This work considers a scenario in the full-duplex WPR system where the information transmission/reception and the energy harvesting are performed simultaneously at the relay. We first derive an achievable secrecy rate of the system and formulate a joint optimization problem of artificial-noise-aided secure beamforming to maximize the achievable secrecy rate. Then, an efficient semi-definite relaxation (SDR) based algorithm is proposed to obtain the optimal beamforming. Furthermore, we also propose three suboptimal beamforming but low computational complexity schemes. Comparisons are carried out among the performances of the proposed optimal and suboptimal schemes.
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 paper investigates an energy-constrained relay-assisted secure communication system in the presence of a legitimate source-destination pair and a passive eavesdropper with imperfect channel state information (CSI). The energy-constrained relay exploits a power splitting (PS) protocol to simultaneously harvest energy and decode information from the received signal from the source, and then forwards the confidential signal to the full-duplex (FD) destination while it simultaneously transmits artificial noise (AN) to confuse the passive eavesdropper. This robust beamforming design is developed by maximizing the secrecy rate under the constraints of energy harvesting (EH) requirement at the relay and AN transmit power at the destination. Specifically, we formulate the joint relay beamforming and PS ratio as well as the AN power optimization as a non-convex quadratically-constrained problem. In order to circumvent this non-convexity issue, we decompose the original problem into three subproblems which can be determined by the proposed semidefinite relaxation (SDR) and successive convex optimization methods. Furthermore, we derive closed-form expressions for the optimal solutions of each subproblem. Finally, the original non-convex problem can be solved through a convergence guaranteed iterative algorithm. Simulation results are provided to demonstrate the effectiveness and superior performance of the proposed robust design compared with the benchmark schemes.
This thesis studies secure beamforming for simultaneous wireless information and power transfer (SWIPT) in full-duplex (FD) wireless-powered relay networks, in which the relay operates based on harvested energy from radio-frequency signals. We propose a joint AF beamforming and artificial noise (AB-AN) covariance matrix design with PS strategy to maximize the secrecy rate under harvesting energy constraints at the relay We assume that there is a PS device which splits the received signal power at relay for harvesting energy and receiving information. Since such a problem is nonconvex and hard to tackle, we propose a two-level optimization approach via the one-Dimension search and the semidefinite relaxation (SDR) technique. The proposed scheme is compared with AB scheme. Simulation results show that the proposed scheme outperforms the AB scheme.
This paper focuses on information security in an energy harvesting relay system, in which confidential signals are transmitted from a source node to its desired destination with the assistance of one full-duplex (FD) relay. To empower simultaneous wireless information and power transfer, the time-switching (TS) protocol is embraced and the energy-limited FD relay node is powered by energy signals emitted by the source node. With the obtained statistical eavesdropper channel state information (CSI), the ergodic secrecy rate and its approximate expression are derived. As the objective is maximizing the ergodic secrecy rate performance, source beamformers, TS coefficient and the power control factor at FD relay are jointly optimized. To tackle the framed non-convex problem, an alternative method is hence proposed, and closed-form solutions for beamformers, TS coefficient and power control factor are derived iteratively. Besides, the convergence of our proposed algorithm can be guaranteed and is also theoretically proved. Simulation results demonstrate that our iterative algorithm is effective and improves the system secrecy rate considerably.
In this paper, we consider a non-regenerative relay network supporting simultaneous wireless information and power transfer, in which the energy harvesting relay is powered by radio-frequency signals from the source node. Assuming imperfect channel state information from the source/relay to the destination/eavesdropper, we investigate the artificial noise-aided secure robust beamformer that minimize the transmission power at the relay, while guaranteeing the secrecy rate constraint and the transmit power constraint at the relay. In particular, two types of energy harvesting strategies are considered termed power splitting (PS) and time switching (TS), respectively. These constraints make the optimization problems formulated non-convex and challenging, which are efficiently solved by using the S-procedure and semidefinite relaxation techniques to formulate a tractable approximated version of the original problems. Numerical results show the effectiveness of the proposed robust beamforming schemes. Furthermore, the PS strategy performs better than the TS strategy.
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.