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The Journal of the Korean Institute of Information and Communication Engineering

Power Splitting-based Analog Network Coding for Improving Physical Layer Security in Energy Harvesting Networks

Kisong Lee, Hyun-Ho Choi

Published Jan 1, 2017• 0 citations
Publisher
DOI
10.6109/jkiice.2017.21.10.1849

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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.
Based on the theory of physical layer security (PLS), this paper demonstrates that analog network coding (ANC) has ability to improve the PLS performance of the two-way relay channel against different kinds of eavesdroppers. In this paper, we define the security and unsecurity region and derive the system security capacity with ANC and traditional transmission schemes. In particular, we consider external and internal eavesdroppers respectively. Besides, we investigate the factors influencing the ANC system PLS performance. The simulation results show that ANC can greatly improve the system PLS performance against an external eavesdropper, and ensure that an internal eavesdropper cannot decode any confidential information. Furthermore, the ANC system PLS performance can be slightly improved by increasing signal source's transmission power level and eavesdropping channel's noise level.
Physical layer security (PLS) with radio frequency (RF) energy harvesting (EH) in wireless sensor networks has received significant interest as a technology for secure information transmission and prolonging the network lifetime, as well as improving energy efficiency. This article investigates PLS for a simultaneous wireless information and power transfer (SWIPT) cooperative network, which consists of multiple sensor sources, one EH relay (R), and one destination (D) in the presence of one eavesdropper (E). Furthermore, a low-complexity, suboptimal, yet efficient sensor source selection scheme is proposed. Specifically, one sensor source is chosen to transmit information to the relay and destination such that it obtains the best channel from sensor sources to the relay. Then, by considering two relaying strategies, termed the direct link plus static power splitting-based relaying (SPSR) and direct link plus optimal dynamic power splitting-based relaying (ODPSR), the performance analysis in terms of intercept probability (IP) and outage probability (OP) is carried out for each one. Notably, the eavesdropper and destination utilize maximal ratio combining (MRC) to incorporate the received signals from the selected sensor source and the relay, which poses new challenges in obtaining the analytical expressions. In this context, we derive analytical expressions for the OP (for SPSR and ODPSR) at the destination and the IP (for SPSR) at the eavesdropper by adopting the series representation of the modified Bessel function. Finally, Monte Carlo simulations are conducted to validate the theoretical analysis and the proposed schemes’ effectiveness. Simulation results show the superiority of our scheme compared to the benchmarks.