Robust Design for Intelligent Reflecting Surface-Assisted Secrecy SWIPT Network

Niu, Hehao; Chu, Zheng; Zhou, Fuhui; Zhu, Zhengyu; Li, Zhen; Wong, Kai-Kit

doi:10.1109/twc.2021.3126833

Cited by 66 publications

(42 citation statements)

References 44 publications

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“…In addition, due to the location error and white noise, the statistical CSI follows CSCG distribution around the accurate CSI with fixed location [32]. Third, as the widely adopted reason in the existing works, e.g., [38], in the time division duplex (TDD) setting, noise and limited training will cause the uplink channel estimation error. The conventional MMSE method is generally adopted to estimate the cascaded channel, and thus the channel estimation generally follows the CSCG distribution.…”

Section: A Problem Formulationmentioning

confidence: 99%

“…In [34] and [35], the authors investigated the robust beamforming design based on both the statistical CSI and the bounded CSI error models. In [38], under the imperfect CSI of the direct and cascaded channels, the authors investigated the robust beamforming design in a secrecy multiple-input singleoutput (MISO) network aided by the intelligent reflecting surface (IRS) with simultaneous wireless information and power transfer (SWIPT), where the minimum robust information rate among the legitimate information receivers (IRs) was maximized. In addition, under the assumption that the bounded CSI can be obtained by the access point (AP), the authors in [39] investigated robust and secure MISO downlink communications assisted by a self-sustainable intelligent reflection surface (IRS), which can simultaneously reflect and harvest energy from the received signals.…”

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confidence: 99%

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Outage Constrained Robust Beamforming Optimization for Multiuser IRS-Assisted Anti-Jamming Communications With Incomplete Information

Sun

Luo

et al. 2022

IEEE Internet Things J.

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Malicious jamming attacks have been regarded as a serious threat to Internet of Things (IoT) networks, which can significantly degrade the quality of service (QoS) of users. This paper utilizes an intelligent reflecting surface (IRS) to enhance anti-jamming performance due to its capability in reconfiguring the wireless propagation environment via dynamicly adjusting each IRS reflecting elements. To enhance the communication performance against jamming attacks, a robust beamforming optimization problem is formulated in a multiuser IRS-assisted anti-jamming communications scenario with or without imperfect jammer's channel state information (CSI). In addition, we further consider the fact that the jammer's transmit beamforming can not be known at BS. Specifically, with no knowledge of jammers transmit beamforming, the total transmit power minimization problems are formulated subject to the outage probability requirements of legitimate users with the jammer's statistical CSI, and signal-to-interference-plus-noise ratio (SINR) requirements of legitimate users without the jammer's CSI, respectively. By applying the Decomposition-based large deviation inequality (DBLDI), Bernstein-type inequality (BTI), Cauchy-Schwarz inequality, and penalty non-smooth optimization method, we efficiently solve the initial intractable and non-convex problems. Numerical simulations demonstrate that the proposed antijamming approaches achieve superior anti-jamming performance and lower power-consumption compared to the non-IRS scheme and reveal the impact of key parameters on the achievable system performance.

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Section: A Problem Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

Outage Constrained Robust Beamforming Optimization for Multiuser IRS-Assisted Anti-Jamming Communications With Incomplete Information

Sun

Luo

et al. 2022

IEEE Internet Things J.

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“…Furthermore, there have been many studies on the secure transmission of IRS-assisted SWIPT systems. However, the secrecy rate optimization problem was not considered as the main optimization problem [20]- [23]. More specifically, the authors in [20]- [22] aim to optimize transmit beamforming while ensuring the constraints of the QoS and harvested energy.…”

Section: Related Workmentioning

confidence: 99%

“…More specifically, the authors in [20]- [22] aim to optimize transmit beamforming while ensuring the constraints of the QoS and harvested energy. Niu et al [23] maximized the minimum robust information rate among the legitimate IRs while the ERs are considered as potential Eave's. In addition, the IRS-assisted SWIPT system was considered in [24], [25] to optimize secrecy rate.…”

Section: Related Workmentioning

confidence: 99%

A Secure-Transmission Maximization Scheme for SWIPT Systems Assisted by an Intelligent Reflecting Surface and Deep Learning

2022

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Recently, the demand for spectral and energy efficiency has significantly been increased along with new breakthroughs in programmable meta-material techniques. The integration of an intelligent reflecting surface (IRS) into simultaneous wireless information and power transfer (SWIPT) systems has attracted much attention from operators in advanced wireless communication networks (WCNs) such as fifth-generation (5G) and sixth-generation (6G) networks. In addition, an IRS-assisted SWIPT system faces many security risks that can easily be compromised by eavesdroppers. In this paper, we investigate the physical-layer secure and transmission optimization problem in an IRS-assisted SWIPT system where a power-splitting (PS) scheme is installed in the user equipment (UE). In particular, our purpose is to maximize the system secrecy rate by jointly finding optimal solutions for transmitter power, PS factor of UE, and phase shifts matrix of IRS under the required minimum harvested energy and maximum transmitter power. We propose the alternating optimization (AO)-based scheme to obtain optimal solutions. The proposed AO-based scheme can effectively solve both convex and non-convex problems; however, applying them in practice still poses some difficulties due to the complexity and long computation time. This is because many mathematical transformations are used and the optimal solution needs a number of iterations to achieve convergence. Therefore, we also propose 5 types of data and DNN structures to potentially achieve efficiency in computations by using a deep learning (DL)-based approach. The simulation results indicate that the proposed IRS scheme provides an improvement in terms of the average secrecy rate (ASR) by up to 38.91% when the number of reflecting elements is high (30 elements) compared to a scheme without an IRS. We also observe that the DL-based approach not only provides similar performance to the AO-based scheme but it also significantly reduces computation time.

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“…On the other hand, radio frequency (RF) wireless energy harvesting (EH) has been considered as an effective solution to solve the problems of energy consumption [5][6][7]. Moreover, the technique was investigated in various systems such as multiple input multiple output (MIMO) network [8], secrecy network [9], unmanned aerial vehicle system [10,11], and Intelligent Reflecting Surface system [12].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Full-Duplex SWIPT Cooperative NOMA-Based IoT Relay Networks over Nakagami-m Fading Channels

Nguyen

et al. 2022

Sensors

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In this paper, we investigate the performance of non-orthogonal multiple access (NOMA)-based full-duplex Internet-of-Things (IoT) relay systems with simultaneous wireless information and power transfer (SWIPT) over Nakagami-m fading channels to improve the performance of a cell-edge user under perfect and imperfect successive interference cancellation (SIC). Two scenarios, i.e., direct and non-direct links, between the source node and cell-edge user are examined. The exact closed-form analytical and approximate expressions for the outage probability, system throughput, energy efficiency, and ergodic capacities are derived and validated via Monte Carlo simulations to characterize the proposed system performance. To further improve the system performance, we also provide a low-complexity algorithm to maximize the system throughput over-optimizing the time-switching factor. The results show that our proposed NOMA system can achieve superior performance compared to its orthogonal multiple access (OMA) counterpart under perfect SIC and with a low-to-medium signal-to-noise ratio under imperfect SIC, according to the level of residual self-interference and the quality of links.

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Robust Design for Intelligent Reflecting Surface-Assisted Secrecy SWIPT Network

Cited by 66 publications

References 44 publications

Outage Constrained Robust Beamforming Optimization for Multiuser IRS-Assisted Anti-Jamming Communications With Incomplete Information

Outage Constrained Robust Beamforming Optimization for Multiuser IRS-Assisted Anti-Jamming Communications With Incomplete Information

A Secure-Transmission Maximization Scheme for SWIPT Systems Assisted by an Intelligent Reflecting Surface and Deep Learning

Evaluation of Full-Duplex SWIPT Cooperative NOMA-Based IoT Relay Networks over Nakagami-m Fading Channels

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