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KSII Transactions on Internet and Information Systems

Joint Beamforming and Power Splitting Design for Physical Layer Security in Cognitive SWIPT Decode-and-Forward Relay Networks

Xiaorong Xu, Andi Hu, Yingbiao Yao, Wei Feng

Published Jan 31, 2020• 2 citations
Publisher

Abstract

In an underlay cognitive simultaneous wireless information and power transfer (SWIPT) network, communication from secondary user (SU) to secondary destination (SD) is accomplished with decode-and-forward (DF) relays.Multiple energy-constrained relays are assumed to harvest energy from SU via power splitting (PS) protocol and complete SU secure information transmission with beamforming.Hence, physical layer security (PLS) is investigated in cognitive SWIPT network.In order to interfere with eavesdropper and improve relay's energy efficiency, a destination-assisted jamming scheme is proposed.Namely, SD transmits artificial noise (AN) to interfere with eavesdropping, while jamming signal can also provide harvested energy to relays.Beamforming vector and power splitting ratio are jointly optimized with the objective of SU secrecy capacity maximization.We solve this non-convex optimization problem via a general two-stage procedure.Firstly, we obtain the optimal beamforming vector through semi-definite relaxation (SDR) method with a fixed power splitting ratio.Secondly, the best power splitting ratio can be obtained by one-dimensional search.We provide simulation results to verify the proposed solution.Simulation results show that the scheme achieves the maximum SD secrecy rate with appropriate selection of power splitting ratio, and the proposed scheme guarantees security in cognitive SWIPT networks.

DOI
10.3837/tiis.2020.01.001

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Abstract This paper studies the secure beamforming design for simultaneous wireless information and power transfer (SWIPT) in a amplify-and-forward (AF) relay networks with multiple users and eavesdroppers. Each user node adopts the power splitting (PS) scheme to decode information and harvest energy simultaneously. Our objective is to minimize the total relay transmit power under the constraints of secure transmission rate and energy harvesting requirements by jointly optimizing the beamforming matrix, artificial noise covariance matrix and PS ratios. For this non-convex problem, we propose a two-stage optimization approach to convert the original problem into two sub-problems. The first subproblem uses semidefinite relaxation (SDR) technique to transform the original problem into a convex problem, and then finds the optimal solution of the second subproblem through k-dimensional exhaustive search algorithm. Furthermore, we also propose a low complexity suboptimal solution scheme based on particle swarm optimization (PSO) algorithm. Simulation results show that the proposed scheme saves transmitting power and achieves better performance than other schemes.
In this paper, we propose a destination-aided jamming scheme for secrecy simultaneous wireless information and power transfer (SWIPT) in cognitive relay networks. In which, an energy-constrained secondary transmitter (ST) assists to forward the traffic from a primary transmitter (PT) to a primary receiver (PR) and collaborates with PR-aided jamming to prevent the eavesdropper around PR from eavesdropping, in exchange for communicating with its own receiver in the same frequency. To maximize the rate of ST, we jointly design the relay processing matrix, beamforming vector and power split ratio under the constraint of PT secrecy rate demand. For tackling the non-convex problem, the semi-definite relaxation technique and Charnes-Cooper transformation are adopted. Simulation results demonstrate that our proposed scheme can significantly improve the performance of communications.
In this paper, we investigate the physical layer security for amplify-and-forward relay networks with simultaneous wireless information and power transfer. Specifically, by considering the dual-functional desired receiver, which is capable of decoding information and energy harvesting (EH), and assuming that only imperfect eavesdroppers' channel state information can be attained, we propose a joint robust cooperative beamforming, artificial noise, and power splitting scheme. We formulate the relay power minimization problem under both the secrecy rate constraint and the EH constraint, which is non-convex and hard to tackle. To tackle this problem, we propose a two-level optimization approach, which involves 1-D search and the semi-definite relaxation. In addition, we testify that the SDR can obtain the rank-one optimal solution. Simulation results show that the proposed robust scheme achieves better secrecy performance than other schemes.
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.
In this paper, we study secure beamforming for simultaneous wireless information and power transfer (SWIPT) in wireless-powered full-duplex (FD) relay networks. The relay assists transmission of confidential information, while simultaneously harvesting the energy with power switching scheme by the radio-frequency (RF) signals. We propose a joint amplify-and-forward beamforming (AB) and energy signal (AB-ES) with the receiver power splitting strategy (PS) scheme to maximize the secrecy rate under harvesting energy constraints. Since these constraints make the optimization problems become non-convex and hard to tackle. We propose a two-level optimization problem to solve this problem. The out part can be solved via the one-Dimensional search, and the inner part can be solved by semidefinite relaxation (SDR) technique. Simulation results show that the proposed scheme outperforms other 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.