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IEEE/CIC International Conference on Communications in China (ICCC)

Secure Transmission in Multicarrier Time-Switching Wireless Powered Communication Networks with Full-duplex Receivers

Qun Li, Ding Xu

Published Aug 1, 2019• 0 citations
Publisher

Abstract

In this paper, we investigate physical layer security, where a source node communicates with a wireless powered full-duplex destination node using multiple subcarriers in the presence of an eavesdropper. The destination node adopts the time switching technique to coordinate information decoding and energy harvesting, and can use the harvested energy to send jamming signals to interfere with the eavesdropper. We investigate the problem of optimizing transmit power allocation at the source node, the transmit power allocation for jamming at the destination node and the time allocation for maximizing the secrecy rate, and propose an iterative algorithm to solve the optimization problem. It is shown by simulation results that the proposed algorithm greatly outperforms other reference algorithms.

DOI
10.1109/iccchina.2019.8855921

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IEEE/CIC International Conference on Communications in China (ICCC)•Aug 1, 2019•1 citation
In this paper, we investigate physical layer security, where a source node communicates with a wireless powered full-duplex destination node using multiple subcarriers in the presence of an eavesdropper. The destination node adopts the time switching technique to coordinate information decoding and energy harvesting, and can use the harvested energy to send jamming signals to interfere with the eavesdropper. We investigate the problem of optimizing transmit power allocation at the source node, the transmit power allocation for jamming at the destination node and the time allocation for maximizing the secrecy rate, and propose an iterative algorithm to solve the optimization problem. It is shown by simulation results that the proposed algorithm greatly outperforms other reference algorithms.
We consider a three-node multicarrier network consisting of a source node, a wireless powered full-duplex destination node, and an eavesdropper. The destination node is assumed to adopt the power splitting technique to coordinate information decoding and energy harvesting. To improve security performance, the destination node can send jamming signals using the harvested energy. The problem for maximizing the secrecy rate by optimizing transmit power allocation at the source node, the transmit power allocation for jamming at the destination node and the power splitting ratio at the destination node is investigated and solved by a proposed iterative algorithm. Simulation results show that the proposed algorithm outperforms other reference algorithms.
This letter studies secure communication in a wireless powered communication network with a full-duplex destination node, who applies either power splitting (PS) or time switching (TS) to coordinate energy harvesting and information decoding of received signals and transmits jamming signals to the eavesdropper using the harvested energy. The secrecy rate is maximized by optimizing PS or TS ratio and power allocation. We propose iterative algorithms with power allocation optimized by the successive convex approximation method. Simulation results demonstrate that the proposed algorithms are superior to other benchmark algorithms.
This paper investigates physical layer secure communication of a three node multicarrier network with a legitimate transmitter, a legitimate receiver, and a wireless powered full-duplex eavesdropper, where the eavesdropper splits the received signal power into two parts, one for energy harvesting and the remaining for information decoding. The eavesdropper sends jamming signals to interfere with the legitimate communication using the harvested energy to degrade the secure communication of the legitimate user. We use the non-cooperative game to model the interaction between the legitimate user and the eavesdropper, where the aim of the legitimate user is to maximize its sum secrecy rate on all subcarriers under the total transmit power constraint and the aim of the eavesdropper is to minimize the sum secrecy rate of the legitimate communication on all subcarriers under the energy causality constraint. We propose an iterative algorithm to achieve the Nash equilibrium of the non-cooperative game. Simulation results verify the proposed algorithm and show that the proposed algorithm significantly outperforms the benchmark algorithms and is resistant to the jamming from the eavesdropper.
This work investigates the secure transmission in the wireless information and power transfer system where a source node communicates with a wireless-powered full-duplex destination node in the presence of a passive eavesdropper. In particular, we propose such a two-phase time-sharing (TS) secure communication protocol: in the first phase, energy harvesting is conducted from the source node to the destination node, while in the second phase, the source node transmits information-bearing signal under the protection of artificial noise sent from the destination node. It is worth to mention that the energy of this artificial noise at the destination node is converted from the harvested energy in the first phase and self-interference exists at the destination in the second phase. We derive the closed-form expressions for the connection outage probability (COP), the secrecy outage probability (SOP) and the transmission outage probability (TOP), based on which the secrecy throughput is formulated. Further, we determine the optimal time allocation factor and the optimal codeword transmission rate to maximize the secrecy throughput with dual outage constraints. Finally, numerical results verifies our results and exams the effect of the time allocation factor and the codeword transmission rate on the performance.
This paper considers a method for improving physical layer security of wireless networks with full-duplex radio. In particular, fast algorithms are developed to compute power allocations in subcarriers, subject to power and rate constraints, to maximize the secrecy capacity of a three-node network consisting of a source, a full-duplex destination, and an eavesdropper. A residual level of radio self-interference channel is considered. The optimal power allocation at the destination is found to be significant especially when its power budget is high. Also studied in this paper are a network with multiple full-duplex destinations and another network with multiple sources. Using the algorithms developed in this paper, we are able to show that a multiuser strategy that optimizes the power distributions among the users (in terms of either the sources or the destinations) can yield a substantial gain of secrecy capacity over a single-user strategy.
This paper investigates physical layer security of a multicarrier network with a legitimate source node, a legitimate destination node and an eavesdropper. Specifically, the eaves-dropper adopts the simultaneous wireless information and power transfer (SWIPT) by splitting the power of the received signals from the source node into two parts, one for energy harvesting and the remaining for information decoding, and a minimum harvested energy at the eavesdropper is required. We formulate a Stackelberg game, where the eavesdropper acts as a follower who aims to maximize its sum eavesdropping rate under the minimum harvested energy constraint, and the source node acts as a leader who aims to maximize its sum secrecy rate under the transmit power constraint. An algorithm is proposed to achieve the Stackelberg equilibrium. Simulation results are provided to verify the proposed algorithm. It is shown that the proposed algorithm greatly outperforms the benchmark algorithms.