Robust Secure Beamforming for Wireless Powered Full-Duplex Systems With Self-Energy Recycling

Wu, Wei; Wang, Baoyun; Zeng, Yong; Zhang, Haiyang; Yang, Zhenxing; Deng, Zhixiang

doi:10.1109/tvt.2017.2744982

Cited by 49 publications

(69 citation statements)

References 33 publications

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“…, the problem (P2) can be denoted as a fractional programming problem, but the objective function is still nonconvex since two optimization variables V P and V S exist in the numerator and denominator of objective function, respectively. To solve the problem (P2) more effectively, the fractional programming problem can be equivalently reformulated to a convex SDR problem by utilizing Charnes-Cooper transformation [34]. us, we let…”

Section: Optimal Secure Beamforming Designmentioning

confidence: 99%

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Tang

Luo

et al. 2020

Security and Communication Networks

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In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical ings (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT's sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes-Cooper transformation technique. en, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.

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Section: Optimal Secure Beamforming Designmentioning

confidence: 99%

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Tang

Luo

et al. 2020

Security and Communication Networks

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“…where ζ i |hi| 2 σ 2 . Using equations (6) and (8), the worst case secrecy rate of node i can be expressed as [14]…”

Section: System Modelmentioning

confidence: 99%

Secrecy Throughput Maximization for Full-Duplex Wireless Powered IoT Networks Under Fairness Constraints

Rezaei

Sun

Kang

et al. 2019

IEEE Internet Things J.

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In this paper, we study the secrecy throughput of a full-duplex wireless powered communication network (WPCN) for internet of things (IoT). The WPCN consists of a fullduplex multi-antenna base station (BS) and a number of sensor nodes. The BS transmits energy all the time, and each node harvests energy prior to its transmission time slot. The nodes sequentially transmit their confidential information to the BS, and the other nodes are considered as potential eavesdroppers. We first formulate the sum secrecy throughput optimization problem of all the nodes. The optimization variables are the duration of the time slots and the BS beamforming vectors in different time slots. The problem is shown to be non-convex. To tackle the problem, we propose a suboptimal two stage approach, referred to as sum secrecy throughput maximization (SSTM). In the first stage, the BS focuses its beamforming to blind the potential eavesdroppers (other nodes) during information transmission time slots. Then, the optimal beamforming vector in the initial non-information transmission time slot and the optimal time slots are derived. We then consider fairness among the nodes and propose max-min fair (MMF) and proportional fair (PLF) algorithms. The MMF algorithm maximizes the minimum secrecy throughput of the nodes, while the PLF tries to achieve a good trade-off between the sum secrecy throughput and fairness among the nodes. Through numerical simulations, we first demonstrate the superior performance of the SSTM to uniform time slotting and beamforming in different settings. Then, we show the effectiveness of the proposed fair algorithms.Index Terms-wireless powered communication network (WPCN), physical layer security, Internet of Things (IoT), fairness, energy beamforming, full-duplex

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“…The joint transceiver designs for FD K-Pair MIMO interference channel with SWIPT is considered in [47]. Robust secure beamforming scheme for wireless-powered FD MIMO systems with self-energy recycling is studied in [48].…”

Section: Motivation and Related Workmentioning

confidence: 99%

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Shen

Wang

2018

J Wireless Com Network

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In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input multiple-output (MIMO) system, where the FD base station (BS) simultaneously serves a set of downlink half-duplex (HD) users (cellular users) and a set of fixed uplink HD users (fixed sensor nodes) which are uniformly distributed in its coverage area. In order to reduce the computational complexity, we investigate the beam-domain representation of massive MIMO channels based on the basis expansion model, and then the beam-domain SWIPT protocol which lies in intelligently scheduling the users and sensors based on the beam-domain distributions of their associated channels to mitigate SI and enhance transmission efficiency is designed for full-duplex massive MIMO system. The whole beam-domain hybrid TS and PS SWIPT protocol is divided into two phases based on the ideal of TS. The first phase is used for cellular users uplink training and sensor nodes energy harvesting as well as downlink training, wherein the cellular users transmit uplink pilots for uplink channel estimation at the BS, while the BS simultaneously transmits energy signals to the sensor nodes. Based on the idea of PS, the sensor nodes utilize the received energy signals for energy harvesting and downlink channel estimation. In the second phase, the BS forms the transmit beamformers for information transmission to the users as well as the receive beamformers for the sensors transmit their data to the BS simultaneously. By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. Simulation results show the superiority of the proposed protocol on spectral efficiency compared with the existing massive MIMO SWIPT protocol.

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Robust Secure Beamforming for Wireless Powered Full-Duplex Systems With Self-Energy Recycling

Cited by 49 publications

References 33 publications

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Secrecy Throughput Maximization for Full-Duplex Wireless Powered IoT Networks Under Fairness Constraints

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

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