Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems

Abstract In next‐generation wireless communications, reconfigurable intelligent surface (RIS) has emerged as a cost‐effective technique for enhancing physical layer security (PLS) in millimeter‐wave (mmWave) communications, especially under challenging scenarios with adversarial entities and obstruc...

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Main Authors: Qingqing Tu, Zheng Dong, Xianbing Zou, Ning Wei, Ya Li, Fei Xu
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Communications
Subjects:
Online Access:https://doi.org/10.1049/cmu2.12751
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author Qingqing Tu
Zheng Dong
Xianbing Zou
Ning Wei
Ya Li
Fei Xu
author_facet Qingqing Tu
Zheng Dong
Xianbing Zou
Ning Wei
Ya Li
Fei Xu
author_sort Qingqing Tu
collection DOAJ
description Abstract In next‐generation wireless communications, reconfigurable intelligent surface (RIS) has emerged as a cost‐effective technique for enhancing physical layer security (PLS) in millimeter‐wave (mmWave) communications, especially under challenging scenarios with adversarial entities and obstructions. However, the primary studies for RIS incorporation in mmWave communication systems utilized static deployments, lacking adaptability and efficiency in complex environments. To address this problem, a dynamic RIS deployment design framework is introduced for PLS enhancement in mmWave systems against jamming and eavesdropping attacks. For the design, it is aimed to maximize the secrecy rate by jointly optimizing the RIS selection with the beamforming design. The resulting optimization problem is challenging to solve due to the coupling of the RIS control factor, joint beamforming design, and non‐convex constraints. To tackle these issues, an efficient multi‐RIS‐aided PLS enhancement algorithm is proposed. It transforms the objective into a series of subproblems and employs the fractional programming technique and prox‐linear block coordinate descent updating method to solve them alternatively and obtain the optimal solution. The simulations demonstrate the advantage of the dynamic deployment, which exhibits enhanced security performance with reduced complexity compared with benchmarks. Further examinations also provide insight into optimal RIS activation configurations, achieving optimal balance for securing mmWave communications against emerging threats while maintaining system efficiency.
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spelling doaj.art-2fd8782b1d3a4515967de02f803335e22024-03-29T03:21:57ZengWileyIET Communications1751-86281751-86362024-03-0118536537410.1049/cmu2.12751Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systemsQingqing Tu0Zheng Dong1Xianbing Zou2Ning Wei3Ya Li4Fei Xu5The National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaThe School of Information Science and Engineering Shandong University Qingdao ChinaThe National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaThe National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu ChinaChina Mobile Research Institute Beijing ChinaZGC Institute of Ubiquitous‐X Innovation and Applications Beijing ChinaAbstract In next‐generation wireless communications, reconfigurable intelligent surface (RIS) has emerged as a cost‐effective technique for enhancing physical layer security (PLS) in millimeter‐wave (mmWave) communications, especially under challenging scenarios with adversarial entities and obstructions. However, the primary studies for RIS incorporation in mmWave communication systems utilized static deployments, lacking adaptability and efficiency in complex environments. To address this problem, a dynamic RIS deployment design framework is introduced for PLS enhancement in mmWave systems against jamming and eavesdropping attacks. For the design, it is aimed to maximize the secrecy rate by jointly optimizing the RIS selection with the beamforming design. The resulting optimization problem is challenging to solve due to the coupling of the RIS control factor, joint beamforming design, and non‐convex constraints. To tackle these issues, an efficient multi‐RIS‐aided PLS enhancement algorithm is proposed. It transforms the objective into a series of subproblems and employs the fractional programming technique and prox‐linear block coordinate descent updating method to solve them alternatively and obtain the optimal solution. The simulations demonstrate the advantage of the dynamic deployment, which exhibits enhanced security performance with reduced complexity compared with benchmarks. Further examinations also provide insight into optimal RIS activation configurations, achieving optimal balance for securing mmWave communications against emerging threats while maintaining system efficiency.https://doi.org/10.1049/cmu2.12751computer network securitymillimetre wave communication
spellingShingle Qingqing Tu
Zheng Dong
Xianbing Zou
Ning Wei
Ya Li
Fei Xu
Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
IET Communications
computer network security
millimetre wave communication
title Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
title_full Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
title_fullStr Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
title_full_unstemmed Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
title_short Dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmWave systems
title_sort dynamic reconfigurable intelligent surface deployment for physical layer security enhancement in mmwave systems
topic computer network security
millimetre wave communication
url https://doi.org/10.1049/cmu2.12751
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