Active Reconfigurable Intelligent Surface Aided Secure Transmission

Dong, Limeng; Wang, Huiming; Bai, Jiale

doi:10.1109/tvt.2021.3135498

Cited by 142 publications

(72 citation statements)

References 18 publications

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“…In [74], RISs consisting of passive RIS elements and a single receive RF chain for baseband measurements were presented. Very recently in [75], an active RIS structure where each reflecting element is equipped with a power amplifier is proposed.…”

Section: Ris Hardware Architecturesmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques

Jian¹,

Alexandropoulos²,

Başar³

et al. 2022

Preprint

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The demanding objectives for the future sixth generation (6G) of wireless communication networks have spurred recent research efforts on novel materials and radio-frequency front-end architectures for wireless connectivity, as well as revolutionary communication and computing paradigms. Among the pioneering candidate technologies for 6G belong the reconfigurable intelligent surfaces (RISs), which are artificial planar structures with integrated electronic circuits that can be programmed to manipulate the incoming electromagnetic field in a wide variety of functionalities. Incorporating RISs in wireless networks has been recently advocated as a revolutionary means to transform any wireless signal propagation environment to a dynamically programmable one, intended for various networking objectives, such as coverage extension and capacity boosting, spatiotemporal focusing with benefits in energy efficiency and secrecy, and low electromagnetic field exposure.Motivated by the recent increasing interests in the field of RISs and the consequent pioneering concept of the RIS-enabled smart wireless environments, in this paper, we overview and taxonomize the latest advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation. We also present a thorough overview of the channel estimation approaches for RIS-empowered communications systems, which constitute a prerequisite step for the optimized incorporation of RISs in future wireless networks. Finally, we discuss the relevance of the RIS technology in the latest wireless communication standards, and highlight the current and future standardization activities for the RIS technology and the consequent RIS-empowered wireless networking approaches.

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Section: Ris Hardware Architecturesmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques

Jian¹,

Alexandropoulos²,

Başar³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…10 shows how the optimal redundant rates solution R * e,i is influenced by the secrecy rates. These are the solutions for the first-step optimization problem in (19). Corresponding to the optimal R * e,i , the optimal system probability of secure transmission is depicted in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

Physical Layer Security in IRS-Assisted Cache-Enabled Satellite Communications Networks

Ngo¹,

Phan²,

Mahmood³

et al. 2022

Preprint

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<p>This paper analyzes the physical layer security performance of cache-enabled hybrid satellite-terrestrial networks with intelligent reflecting surfaces (IRS). Content caches are deployed at both satellite and ground station to help fast content delivery to users. The IRS assists in securing communications from the ground station and satellite to the user against an eavesdropper. The connection probability and the secrecy probability are derived in asymptotic and closed-form expressions for both ground station-IRS-user and satellite-IRS-user links under practical channel models. From the obtained results, the secure transmission probability of the system is evaluated, and then maximized by designing the caching probabilities and the transmission rates. Numerical results verify the accuracy of the analysis and demonstrate the performance gains of having IRS support secure content delivery.</p>

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“…Mini-batches of transitions are generated and used to train the actor and critic networks. The target values y i are computed by the target networks, then the actor and critic network parameters are updated follow the rules in (20) and (29), respectively. Finally, the target network parameters are soft-updated using (21).…”

Section: B Proposed Deep Pds-dpg Learningmentioning

confidence: 99%

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

Ngo¹,

Phan²,

Mahmood³

et al. 2023

Preprint

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<p>This paper studies a secure satellite-terrestrial communication system assisted by a hybrid intelligent reflecting surface (IRS). The hybrid IRS, which composes of active and passive reflecting elements, is deployed to enhance the secure communication from the satellite to multiple users against multiple eavesdroppers. A joint design optimization problem for the satellite beamforming and the hybrid IRS interaction is formulated to maximize the system worst-case secrecy rate under time-varying channel conditions. With high system dynamic and complexity, deep reinforcement learning (DRL) is employed to solve the non-convex optimization problem. We propose a fast DRL algorithm, namely deep PDS-DPG, to obtain the robust secure beamforming design for satellite and hybrid IRS. Numerical results show a better learning efficiency of the proposed algorithm as to the state-of-the-art deep deterministic policy gradient (DDPG) algorithm with comparable system secrecy performance. </p>

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Active Reconfigurable Intelligent Surface Aided Secure Transmission

Cited by 142 publications

References 18 publications

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques

Physical Layer Security in IRS-Assisted Cache-Enabled Satellite Communications Networks

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

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