@inproceedings{8a1fbbe624f74912bce088355d22c3e7,
title = "Electromagnetic Modeling of Mechanically-Controlled Reconfigurable Intelligent Surfaces",
abstract = "In the ever-evolving landscape of wireless commu-nication and radar systems, Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology. This paper investigates the behavior of RIS using mechanical control. The authors performed parametric EM simulations of RIS single elements with different states of mechanical angles within the frequency range of 24-30 GHz. The optimum design of a unit cell for RIS performance depends on the shape of the array elements; hence, the EM simulation of the full array with the optimum element pattern provides valuable insights into the behavior of RIS.",
keywords = "Array Elements, Mechanical Control, Parametric Simulation, Reconfigurable Intelligent Surfaces (RIS), Unit Cell Design",
author = "Hamza, {Abubakar Muhammad} and Peng Mei and Ondrej Franek and Shuai Zhang",
year = "2024",
month = sep,
day = "30",
doi = "10.1109/AP-S/INC-USNC-URSI52054.2024.10686648",
language = "English",
isbn = "979-8-3503-6991-5",
series = "I E E E Antennas and Propagation Society. International Symposium",
publisher = "IEEE (Institute of Electrical and Electronics Engineers)",
pages = "1575--1576",
booktitle = "2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI)",
address = "United States",
note = "2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 ; Conference date: 14-07-2024 Through 19-07-2024",
}