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Secrecy communication of wireless information and power transfer system with green relay

Jian Zhou, Ruohan Cao, Hui Gao, Haijing Liu, Tiejun Lv

Published Jun 1, 2015• 6 citations
Publisher

Abstract

In this paper, we propose a secrecy communication scheme for half-duplex amplify-forward relay networks in the presence of multiple eavesdroppers. Unlike conventional relay network, we consider that the relay is “green”, i.e., it is powered by the energy harvested from the relay observations. The transmission can be divided into two time slots. In the first time slot, the source and destination transmit signal and artificial noise (AN), respectively. The dual use of AN in jamming eavesdroppers and providing wireless energy for the relay is advocated. At the relay, the received signal is divided into two parts by power splitter and goes into energy harvester and information transceiver, respectively. In the second time slot, the “green” relay forwards the information to destination using the energy scavenged in the first time slot. The eavesdroppers can wiretap during both slots. Our scheme is to maximize the secrecy rate subject to the total transmit power constraint or minimize the total transmit power subject to the secrecy rate requirement. By applying successive convex approximation approach, we can convert these challenging non-convex problems into second-order cone program based iterative problems. Simulation results show the effectiveness of the proposed scheme.

DOI
10.1109/iccw.2015.7247481

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In this paper, we propose a secrecy communication scheme for half-duplex amplify-forward relay networks in the presence of multiple eavesdroppers. Unlike conventional relay network, we consider that the relay is “green”, i.e., it is powered by the energy harvested from the relay observations. The transmission can be divided into two time slots. In the first time slot, the source and destination transmit signal and artificial noise (AN), respectively. The dual use of AN in jamming eavesdroppers and providing wireless energy for the relay is advocated. At the relay, the received signal is divided into two parts by power splitter and goes into energy harvester and information transceiver, respectively. In the second time slot, the “green” relay forwards the information to destination using the energy scavenged in the first time slot. The eavesdroppers can wiretap during both slots. Our scheme is to maximize the secrecy rate subject to the total transmit power constraint or minimize the total transmit power subject to the secrecy rate requirement. By applying successive convex approximation approach, we can convert these challenging non-convex problems into second-order cone program based iterative problems. Simulation results show the effectiveness of the proposed scheme.
To guarantee secure information transmission within two sources, a full-duplex (FD) relay jamming scheme for two-way energy harvesting (EH) cooperative networks is proposed, in which the relay can achieve simultaneous information reception and jamming transmission. The EH relay node scavenges energy from two source signals, and then, uses the harvested energy for information relaying and jamming transmission by the power splitting (PS) protocol. Considering multiple eavesdroppers, the non-convex optimization for maximizing the smaller bidirectional secrecy rates is formulated by jointly optimizing the power allocation and PS factor. Furthermore, an iterative algorithm based on successive convex approximation and alternate search method is proposed to solve this non-convexity. Simulation results verify the proposed iterative algorithm and show that the proposed jamming scheme can achieve substantial performance gain than other conventional schemes.
This paper studies secrecy transmission with the aid of a group of wireless energy harvesting-enabled amplify-and-forward (AF) relays performing cooperative jamming (CJ) and relaying. The source node in the network does simultaneous wireless information and power transfer with each relay employing a power splitting receiver in the first phase; each relay further divides its harvested power for forwarding the received signal and generating artificial noise for jamming the eavesdroppers in the second transmission phase. In the centralized case with global channel state information (CSI), we provide the closed-form expressions for the optimal and/or suboptimal AF-relay beamforming vectors to maximize the achievable secrecy rate subject to individual power constraints of the relays, using the technique of semidefinite relaxation (SDR), which is proved to be tight. A fully distributed algorithm utilizing only local CSI at each relay is also proposed as a performance benchmark. Simulation results validate the effectiveness of the proposed multi-AF relaying with CJ over other suboptimal designs.
In this paper, the secure information transmission of an energy harvesting (EH) cooperative network is considered, in which multiple eavesdroppers can overhear the forwarded relay signal. To prevent multiple eavesdroppers from decoding confidential signals, the destination transmits the jamming signal while the source transmits the confidential signal to the relay. Simultaneously, the relay can harvest more energy from source signals and destination jamming by the power splitting (PS) protocol, which is depicted as a non-linear EH process. Considering the imperfect self-interference cancellation (SIC) at the destination, secrecy rate maximization optimization is formulated to optimize the transmission power of source and destination. However, the formulated optimization is non-convex. To solve this problem, an iterative algorithm is proposed based on the difference of convex functions (DC) programming, which can transform non-convex optimization problems into successive approximate convex problems. Simulation results show that the proposed algorithm has a quick convergence rate, and the proposed scheme leads to a higher achievable secrecy rate.
The emerging radio signal enabled simultaneous wireless information and power transfer (SWIPT), has drawn significant attention. To achieve secrecy transmission by cooperative jamming, especially in the upcoming 5G networks with self-sustainable mobile base stations (BSs) and yet not to add extra power consumption, we propose in this paper a new relay protocol, i.e., harvest-and-jam (HJ), in a relay wiretap channel with an additional set of spare helpers. Specifically, in the first transmission phase, a single-antenna transmitter (Tx) transfers signals carrying both information and energy to a multi-antenna amplify-and-forward (AF) relay and a group of multi-antenna helpers; in the second transmission phase, the AF relay processes the information and forwards it to the receiver while each of the helpers generates an artificial noise (AN), the power of which is constrained by its previously harvested energy, to interfere with the eavesdropper. By optimizing the transmit beamforming matrix for the AF relay and the covariance matrix for the AN, we maximize the secrecy rate for the receiver subject to transmit power constraints for the AF relay and all helpers. The formulated problem is shown to be non-convex, for which we propose an iterative algorithm based on alternating optimization. Finally, the performance of the proposed scheme is evaluated by simulations as compared to other heuristic schemes.
This paper investigates the secrecy performance of amplified-and-forward (AF) relay wiretap model by using energy harvesting (EH) and signal alignment technique. All nodes equipped with multi antennas play different roles in terms of source, destination, relay, eavesdropper and jamming node. The jamming node designs artificial noise based on signal alignment principle, and then transmits it to the eavesdropper with harvested energy. Due to different power limitations, we propose power allocation schemes called Local Power Constraints scheme (LPCS) and Global Power Constraints scheme (GPCS), which maximize the secrecy rate of the system and obtain better secrecy performance when compared with the non-EH scheme and the partial nodes power allocation EH scheme. Furthermore, we also analyze the effect of the energy harvesting on the secure degrees of freedom (SDOF) in the high signal-to-noise (SNR) region, and simulate the secrecy performance with convex optimization method by proving the convexity of the optimization problem. Results show that the proposed schemes outperform the compared schemes on the secrecy performance, and achieve more secrecy rate when the destination and the relay have more antennas.
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.