A Leakage-based Method for Mitigation of Faulty Reconfigurable Intelligent Surfaces

Bibliographic Details
Title: A Leakage-based Method for Mitigation of Faulty Reconfigurable Intelligent Surfaces
Authors: Gholian, N. Moghadas, Rossanese, M., Mursia, P., Garcia-Saavedra, A., Asadi, A., Sciancalepore, V., Costa-Pérez, X.
Publication Year: 2023
Collection: Computer Science
Mathematics
Subject Terms: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
More Details: Reconfigurable Intelligent Surfaces (RISs) are expected to be massively deployed in future beyond-5th generation wireless networks, thanks to their ability to programmatically alter the propagation environment, inherent low-cost and low-maintenance nature. Indeed, they are envisioned to be implemented on the facades of buildings or on moving objects. However, such an innovative characteristic may potentially turn into an involuntary negative behavior that needs to be addressed: an undesired signal scattering. In particular, RIS elements may be prone to experience failures due to lack of proper maintenance or external environmental factors. While the resulting Signal-to-Noise-Ratio (SNR) at the intended User Equipment (UE) may not be significantly degraded, we demonstrate the potential risks in terms of unwanted spreading of the transmit signal to non-intended UE. In this regard, we consider the problem of mitigating such undesired effect by proposing two simple yet effective algorithms, which are based on maximizing the Signal-to-Leakage- and-Noise-Ratio (SLNR) over a predefined two-dimensional (2D) area and are applicable in the case of perfect channel-state-information (CSI) and partial CSI, respectively. Numerical and full-wave simulations demonstrate the added gains compared to leakage-unaware and reference schemes.
Comment: Accepted for publication in IEEE GLOBECOM 2023
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2311.00527
Accession Number: edsarx.2311.00527
Database: arXiv
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