RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence

Alexandropoulos, George C.; Phan-Huy, Dinh-Thuy; Katsanos, Kostantinos D.; Crozzoli, Maurizio; Wymeersch, Henk; Popovski, Petar; Ratajczak, Philippe; Bénédic, Yohann; Hamon, Marie-Hélène; Gonzalez, Sebastien Herraiz; Mursia, Placido; Rossanese, Marco; Sciancalepore, Vincenzo; Gros, Jean-Baptiste; Terranova, S; Gradoni, Gabriele; Lorenzo, Paolo Di; Rahal, Moustafa; Denis, Benoît; D’Errico, Raffaele; Clemente, Antonio; Strinati, Emilio Calvanese

doi:10.48550/arxiv.2303.08505

Cited by 1 publication

(2 citation statements)

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“…To investigate the worst-case RIS-enabled eavesdropping scenario for the legitimate system, we assume that the malicious RIS is located close to Eve and in the line-of-sight (LOS) from the legitimate BS. The former assumption facilitates the control of the malicious RIS by Eve, while being consistent with the latest RIS placement guidelines for its maximum expected performance [26], [27]. The latter assumption eases Eve's eavesdropping capability, since the channel between the malicious RIS and the legitimate BS can be easier estimated by Eve (e.g., by knowing the positions of the involved nodes).…”

Section: A Proposed Threat Model and Pls Operationsupporting

confidence: 53%

“…Finally, (60) is deduced from the fact that Tr(Q N d ) = N d and the replacement of vec(U κ ). By applying the eigenvalue decomposition F T ⊗ E = Q QH (as in the Corollary's statement) in the Kronecker product inside the expression for vec(U κ ), it can be readily verified after some algebraic manipulations that κ is derived as described in (27); the proof is, thus, complete.…”

Section: Appendix B Proof Of Corollarymentioning

confidence: 91%

See 1 more Smart Citation

Counteracting Eavesdropper Attacks Through Reconfigurable Intelligent Surfaces: A New Threat Model and Secrecy Rate Optimization

Alexandropoulos

Katsanos

Wen

et al. 2023

IEEE Open J. Commun. Soc.

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The potential of Reconfigurable Intelligent Surfaces (RISs) for energy-efficient and performance-boosted wireless communications is recently gaining remarkable research attention, motivating their consideration for various 5-th Generation (5G) Advanced and beyond applications. In this paper, we consider a Multiple-Input Multiple-Output (MIMO) Physical Layer Security (PLS) system with multiple data streams including one legitimate passive RIS and one malicious passive RIS, with the former being transparent to the multi-antenna eavesdropper and the latter's presence being unknown at the legitimate multi-antenna transceivers. We first present a novel threat model for the RIS-boosted eavesdropping system and design a joint optimization framework for the eavesdropper's receive combining matrix and the reflection coefficients of the malicious RIS. Focusing next on the secrecy rate maximization problem, we present an RIS-empowered PLS scheme that jointly designs the legitimate precoding matrix and number of data streams, the Artificial Noise (AN) covariance matrix, the receive combining matrix, and the reflection coefficients of the legitimate RIS. The proposed optimization algorithms, whose convergence to at least local optimum points is proved, are based on alternating maximization, minorization-maximization, and manifold optimization, including semi-closed form expressions for the optimization variables. Our extensive simulation results for two representative system setups reveal that, in the absence of a legitimate RIS, transceiver spatial filtering and AN are incapable of offering non-zero secrecy rates, even for malicious RISs with small numbers of elements. However, when an L-element legitimate RIS is deployed, confidential communication can be safeguarded against eavesdropping systems possessing even more than a 5L-element malicious RIS.

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Section: A Proposed Threat Model and Pls Operationsupporting

confidence: 53%

Section: Appendix B Proof Of Corollarymentioning

confidence: 91%