Characterizing RIS-Reflected EM Waves Based on Gaussian Beam Models

beam shaping; Gaussian beam; metasurface; RIS; Beam modeling; Beam phase; Beam widths; Beam-shaping; Gaussians; Metasurface; Phase distribution; Reconfigurable intelligent surface; Waveforms; Radiation

Abstract :

[en] This paper explores the reflection and propagation of EM waves by Reconfigurable Intelligent Surfaces (RIS) using Gaussian beam models. We characterize the impinging waveform by experimentally determining the beam width and phase distribution. Furthermore, we detail the experimental setup and show accurate curve-fitting using the Gaussian beam model. Finally, we solve an electrically large RIS problem semi-analytically. In particular, we use the experimentally obtained impinging wavefront to analyze the far-field behavior of large aperture metasurfaces in V band application. This method is applicable for RIS and passive reflect metasurfaces with nearly full phase coverage.

Disciplines :

Computer science

Author, co-author :

SAHA, Dipankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

Olk, Andreas E.; IEE S.A., Bissen, Luxembourg

WU, Linlong ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

MYSORE RAMA RAO, Bhavani Shankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

External co-authors :

Language :

English

Title :

Characterizing RIS-Reflected EM Waves Based on Gaussian Beam Models

Publication date :

20 March 2025

Event name :

2024 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON)

Event place :

Hyderabad, India

Event date :

09/12/2024 - 13/12/2024

By request :

Yes

Audience :

International

Peer reviewed :

Peer reviewed

Source :

https://ieeexplore.ieee.org/document/10923334

Additional URL :

http://xplorestaging.ieee.org/ielx8/10922850/10922790/10923334.pdf?arnumber=10923334

Funders :

FNR - Luxembourg National Research Fund

Funding text :

This work was supported by the Luxembourg National Research Fund (FNR) through the BRIDGE project S3 under grant C22/IS/17412681/S3.

Available on ORBilu :

since 21 October 2025

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