Creating and sharing knowledge for telecommunications

Project: Intelligent Beamforming Metasurfaces for Future Telecommunications

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

Associated Publications
  • 3Papers in Journals
  • A. Abraray, A. Baghel, S. Maslovski, Design of resonant metasurface absorber using feed‐forward neural network, Microwave and Optical Tech. Letters, Vol. 66, No. 1, pp. e33977(1 - 7), December, 2023 | BibTex
  • J. Li, Z. Li, X. Liu, S. Maslovski, S. Shen, Active control of thermal emission by graphene-nanowire coupled plasmonic metasurfaces, Physical Review B - Condensed Matter and Materials Physics, Vol. 106, No. 11, pp. 115416-1 - 115416-7, September, 2022 | BibTex
  • S. Maslovski, A. Abraray, D. Nunes, Analytical and numerical modeling of reconfigurable reflecting metasurfaces with capacitive memory, New Journal of Physics, Vol. 24, No. 7, pp. 075003 - 075003, July, 2022 | BibTex