Intelligent Reflecting Surface Enabled Covert Communications in Wireless Networks

Lu, Xiao; Hossain, Ekram; Shafique, Taniya; Feng, Shijie; Jiang, Hai; Niyato, Dusit

doi:10.1109/mnet.011.1900579

Cited by 118 publications

(62 citation statements)

References 13 publications

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“…In [201], the authors study an RIS-based system in which the secrecy of the communication link is enhanced by making the signal transmission covert to potential eavesdroppers. This is achieved by using an RIS that focuses the transmit signal only towards the direction of the intended receiver.…”

Section: K Physical Layer Securitymentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,226

918

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What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle? These are a few of the many questions that we investigate in this short opus, which has the threefold objective of introducing the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, putting forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and reporting pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

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Section: K Physical Layer Securitymentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,226

918

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“…The former focuses on improving the secrecy rate (SR) of legitimate users by exploiting the dynamic features of wireless communications, for example, random channel, fading, interference, and noise, etc., to prevent the eavesdropper from decoding leaked data while ensuring that the legitimate user can decode it successfully. The covert communications direction, on the other hand, considers hiding the existence of communication from being detected by an enemy [12], [16]. In this survey, we will focus on the first direction, and for simplicity, it will be referred to as PLS.…”

Section: Introductionmentioning

confidence: 99%

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

109

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With the emergence of the internet of things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywhere comes with security threats that, unfortunately, cannot be handled by conventional cryptographic solutions alone, especially in heterogeneous and decentralized future wireless networks. In general, physical layer security (PLS) helps in bridging this gap by taking advantage of the fading propagation channel. Moreover, the adoption of reconfigurable intelligent surfaces (RIS) in wireless networks makes the PLS techniques more efficient by involving the channel into the design loop. In this paper, we conduct a comprehensive literature review on the RIS-assisted PLS for future wireless communications. We start by introducing the basic concepts of RISs and their different applications in wireless communication networks and the most common PLS performance metrics. Then, we focus on the review and classification of RIS-assisted PLS applications, exhibiting multiple scenarios, system models, objectives, and methodologies. In fact, most of the works in this field formulate an optimization problem to maximize the secrecy rate (SR) or secrecy capacity (SC) at a legitimate user by jointly optimizing the beamformer at the transmitter and the RIS's coefficients, while the differences are in the adopted methodology to optimally/sub-optimally approach the solution. We finalize this survey by presenting some insightful recommendations and suggesting open problems for future research extensions.

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“…Among related open problems, we mention the design of low-complexity joint encoding and decoding strategies that approach capacity, the derivation of the capacity for channels with imperfect a priori CSI [28]- [30] or noisy RIS [31], and extensions to RIS systems with multiple users/surfaces [1], [15], [16], [18] or with security constraints [32]- [34].…”

Section: Discussionmentioning

confidence: 99%

Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces

Karasik

Simeone

Renzo

et al. 2020

2020 IEEE International Symposium on Information Theory (ISIT)

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A communication link aided by a Reconfigurable Intelligent Surface (RIS) is studied, in which the transmitter can control the state of the RIS via a finite-rate control link. Prior work mostly assumed a fixed RIS configuration irrespective of the transmitted information. In contrast, this work derives information-theoretic limits, and demonstrates that the capacity is achieved by a scheme that jointly encodes information in the transmitted signal as well as in the RIS configuration. In addition, a novel signaling strategy based on layered encoding is proposed that enables practical successive cancellation-type decoding at the receiver. Numerical experiments demonstrate that the standard max-SNR scheme that fixes the configuration of the RIS as to maximize the Signal-to-Noise Ratio (SNR) at the receiver is strictly suboptimal, and is outperformed by the proposed strategies at all practical SNR levels.

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Intelligent Reflecting Surface Enabled Covert Communications in Wireless Networks

Cited by 118 publications

References 13 publications

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces

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