Enhanced Secure SWIPT in Heterogeneous Network via Intelligent Reflecting Surface

Yang, Jie; Ji, Xinsheng; Huang, Kaizhi; Sun, Xiaoli; Wang, Yi

doi:10.1155/2021/8836757

Cited by 8 publications

(10 citation statements)

References 25 publications

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“…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. However, the PS factor was not jointly optimized in the secure transmission of IRS-assisted SWIPT system, which is an important factor that can prolong the uptime and improve the energy efficiency of devices.…”

Section: Related Workmentioning

confidence: 99%

“…IRS + SWIPT [20] to minimize a total transmit power IRS + SWIPT + NOMA + PS [21] to minimize BS transmit power IRS + SWIPT + PS [22] to minimize a total transmit power IRS + SWIPT [23] to maximize the minimum robust information rate among the IRs The IRS-assisted SWIPT system (secrecy rate optimization + no PS scheme) IRS + SWIPT + no PS [24], [25] to maximize secrecy rate IRS + SWIPT + non-linear harvested energy model + no PS [26] to optimize secrecy rate Our work IRS + SWIPT + PS to optimize secrecy rate and to improve computation performance using DL noteworthy that our work is different from [26], although the secure transmission issue is also considered in the IRSassisted SWIPT system. In the paper, we consider the unified user equipment (UE) with a PS scheme where the secrecy rate should be maximized by additionally considering the PS factor at the UE.…”

Section: Group System Model [Related Work] Objectivementioning

confidence: 99%

“…Since we will also apply the FPP-SCA method to solve this problem, it is essential to find the feasible point for the final convex problem. Therefore, we can find feasible point Q (0) from problem (24). Because variables u and v are only in constraints (24b) and (24c), we do not use constraints (24b) and (24c) when finding feasible point Q (0) of problem (24), as follows:…”

Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

Section: Group System Model [Related Work] Objectivementioning

confidence: 99%

Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning

confidence: 99%

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

2022

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“…To implement green communications, a MIMO-based SWIPT aided RIS system was introduced to provide better performance in terms of secrecy rate when non-convex iterative algorithms are applied [118] - [120]. Authors in [118] considered a SWIPT aided IRS system equipped with multiple antennas aiming to maximize the secrecy rate of the system by joint designing AN covariance and phase shift matrix.…”

Section: ) State-of-the-artmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve high quality and secure next-generation wireless systems. Especially, the deployment of RIS in multi-user wireless networks promises to reduce system hardware costs, signal processing complexity, as well as energy consumption due to small size, lightweight and ability to actively shape the wireless propagation environment. Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication systems. Despite the positive appeal, RISs face new challenges that hinder integrating efficiently into wireless networks, such as network secrecy performance and system sum-rates, as well as achieving efficient deployment design in highly dynamic and time-varying wireless environments. To this end, we overview recent state-of-the-art techniques to address the above issues faced in the integration of RISs with various emerging multi-user communication techniques, such as Unmanned Aerial Vehicles (UAVs), Non-Orthogonal Multiple Access (NOMA), Millimeter Wave (mmWave) and Terahertz (THz) communications, Physical Layer Security (PLS), massive antennas, and Simultaneous Wireless Information and Power Transfer (SWIPT). Finally, we highlight promising future research directions of RIS-aided communication in Cell-Free Massive Multiple-Input-Multiple-Output (MIMO) systems, Rate-Splitting Multiple Access (RSMA), Light Fidelity (LiFi), and Cognitive Radio (CR) systems.

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“…Iterative optimizations were proposed to solve the optimization problems, and numerical results were shown to demonstrate the superiority of the proposed methods. The work in [26][27][28] considered the IRS-assisted SWIPT sys-tems in the MISO channels with external eavesdropper(s) assuming a different number of energy-harvesting receivers, eavesdroppers, or IRSs, respectively. Different methods were proposed to solve the secrecy rate maximization problems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Beamforming for IRS-Assisted SWIPT System with an Energy-Harvesting Eavesdropper

Deng

Pan

2021

Electronics

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In this paper, we study a simultaneous wireless information and power transfer (SWIPT) system aided by the intelligent reflecting surface (IRS) technology, where an AP transmits confidential information to the legitimate information receiver (IR) in the presence of an energy harvesting (EH) receiver that could be a potential eavesdropper. We aim to maximize the secrecy rate at the legitimate IR by jointly optimizing the information beamforming vector and the energy transfer beamforming vector at the access point (AP), and the phase shift matrix at the IRS, subject to the minimum harvested power required by the EH receiver. The semi-definite relaxation (SDR) approach and the alternating optimization (AO) method are proposed to convert the original non-convex optimization problem to a series of semi-definite programs (SDPs), which are solved iteratively. Numerical results show that the achievable secrecy rate of the proposed IRS-assisted SWIPT system is higher than that of the SWIPT system without the assistance of the IRS.

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Enhanced Secure SWIPT in Heterogeneous Network via Intelligent Reflecting Surface

Cited by 8 publications

References 25 publications

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

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

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Optimal Beamforming for IRS-Assisted SWIPT System with an Energy-Harvesting Eavesdropper

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