The possibility to afford multi-beam contoured footprint patterns with simple reconfigurable intelligent surfaces (RISs) is addressed within the Smart ElectroMagnetic Environment (SEME) framework. Towards this end, an Artificial Intelligence (AI)-driven design process is formulated within the System-by-Design framework. A preliminary numerical validation is shown to remark the effectiveness of the proposed strategy when dealing with advanced multi-beam contouring problems.
AI-Driven RIS Footprint Contouring-Towards B5G and 6G Smart Environment Control / Oliveri, G.; Zardi, F.; Massa, A.. - STAMPA. - (2022), pp. 1604-1605. (Intervento presentato al convegno 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) tenutosi a Denver, Colorado, USA nel 10th-15th July 2022) [10.1109/AP-S/USNC-URSI47032.2022.9886762].
AI-Driven RIS Footprint Contouring-Towards B5G and 6G Smart Environment Control
Oliveri G.;Zardi F.;Massa A.
2022-01-01
Abstract
The possibility to afford multi-beam contoured footprint patterns with simple reconfigurable intelligent surfaces (RISs) is addressed within the Smart ElectroMagnetic Environment (SEME) framework. Towards this end, an Artificial Intelligence (AI)-driven design process is formulated within the System-by-Design framework. A preliminary numerical validation is shown to remark the effectiveness of the proposed strategy when dealing with advanced multi-beam contouring problems.| File | Dimensione | Formato | |
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