| Acronym: AI-BEAM |
| Main Objective: This exploratory research project is devoted to developing intelligent, reconfigurable multibeam antennas for future device-to-device wireless communications. Smart two- dimensional materials – metasurfaces – powered by artificial intelligence (AI) techniques are proposed for high-throughput millimeter/sub-millimeter band communications. We aim to implement the signal processing and control associated with the formation and tracking of the communication beams within the smart, programmable metasurface layers. Metasurfaces have emerged as versatile photonic tools for controlling wave fronts and performing nearly-instantaneous operations on the angular spectrum of propagating electromagnetic waves. Offsetting a part of such processing from the silicon to the quasi-optical metasurface layers will result in reduction of the computational overheads, which is required when dealing with the evergrowing throughput needs for future telecommunications. The proposed architecture will enable real time and dynamic channel propagation estimations and adaptive beamforming by using a trained AI network that incorporates the programmable metasurfaces as an integral part of such network. |
| Reference: CMU/TIC/0080/2019 |
| Funding: FCT/CMU |
| Start Date: 01-10-2020 |
| End Date: 31-03-2022 |
| Team: Stanislav Igorevich Maslovski, Abdelghafour Abraray, Nuno Miguel Gonçalves Borges de Carvalho, António Navarro Rodrigues |
| Groups: Optical Sensors and Integrated Photonics - Av, Radio Systems – Av, Mobile Networks – Av |
| Partners: Carnegie Mellon University, University of Aveiro |
| Local Coordinator: Stanislav Igorevich Maslovski |
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Associated Publications
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