Radiation pattern prediction for Metasurfaces: A Neural Network based approach

no code implementations • 15 Jul 2020 • Hamidreza Taghvaee, Akshay Jain, Xavier Timoneda, Christos Liaskos, Sergi Abadal, Eduard Alarcón, Albert Cabellos-Aparicio

Concretely, we show that this method is able to learn and predict the parameters governing the reflected wave radiation pattern with an accuracy of a full wave simulation (98. 8%-99. 8%) and the time and computational complexity of an analytical model.

On the Enabling of Multi-receiver Communications with Reconfigurable Intelligent Surfaces

no code implementations • 12 Jun 2021 • Hamidreza Taghvaee, Akshay Jain, Sergi Abadal, Gabriele Gradoni, Eduard Alarcón, Albert Cabellos-Aparicio

We analyze the performance for indoor and outdoor scenarios, given the broadcast mode of operation.

Reconfigurable Intelligent Surface-assisted Classification of Modulations using Deep Learning

no code implementations • 17 Sep 2022 • Mir Lodro, Hamidreza Taghvaee, Jean Baptiste Gros, Steve Greedy, Geofrroy Lerosey, Gabriele Gradoni

However, in such a dynamic network, the identification of specific modulation types is of paramount importance.

An Overview of Electromagnetic Illusions: Empowering Smart Environments with Reconfigurable Metasurfaces

no code implementations • 18 Apr 2024 • Hamidreza Taghvaee, Mohsen Khalily, Gabriele Gradoni, Rahim Tafazolli

This study delves into the innovative landscape of metasurfaces, with a particular focus on their role in achieving EM illusion (EMI) a facet of paramount significance.