Ghadi, FR;
Wong, KK;
Lopez-Martinez, FJ;
Alexandropoulos, GC;
Chae, CB;
(2025)
Performance Analysis of Wireless Communication Systems Assisted by Fluid Reconfigurable Intelligent Surfaces.
IEEE Wireless Communications Letters
10.1109/LWC.2025.3608040.
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Abstract
This letter investigates the performance of emerging wireless communication systems assisted by a fluid reconfigurable intelligent surface (FRIS). Different from the conventional reconfigurable intelligent surfaces (RISs), an FRIS consists of ‘fluid’-inspired metamaterials arranged in a densely packed matrix of sub-elements over a surface. It dynamically activates particular elements for signal reflection and modulation based on real-time channel conditions. Considering a downlink scenario in which a base station (BS) transmits to a mobile user (MU) terminal via an FRIS, we first characterize the statistical behavior of the equivalent end-to-end channel by deriving closed-form approximations for its cumulative distribution and probability density functions. Using these expressions, an analytical approximation for the outage probability and a tight upper bound on the ergodic capacity, including their asymptotic behaviors for high signal-to-noise ratio values, are derived. Our findings reveal key performance trends demonstrating that FRIS can substantially improve link reliability and spectral efficiency compared to conventional RISs, owing to its capability to dynamically select optimal elements from a dense preconfigured grid.
Type: | Article |
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Title: | Performance Analysis of Wireless Communication Systems Assisted by Fluid Reconfigurable Intelligent Surfaces |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/LWC.2025.3608040 |
Publisher version: | https://doi.org/10.1109/lwc.2025.3608040 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Fluid reconfigurable intelligent surface (FRIS), moment-matching, ergodic capacity, outage probability |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10214372 |
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