Fifth-/sixth-generation communication systems are facing several challenges in terms of speed requirements, bandwidth allocation at higher frequencies, and the number of servable users. In this framework, highly directive Phased Array Antennas (PAAs) have been employed with the goal to mitigate the path losses at those frequencies and benefit the narrow beams by reducing interfering signals. However, this shifted the access to the network from omnidirectional search to sequential search, requiring dynamic reconfigurability of PPA on time and thus complex beam-forming networks. In this contribution, we report our results on the design of a beamforming metasurface that behaves as a matrix beamforming network. The proposed system speeds up the IA procedure with respect to traditional systems thanks to its parallel transmission mode: many beams can be fired at the same time drastically reducing the latency. The results demonstrate that a much faster IA with a similar success probability can be reached.
Stefanini, L., Rech, A., Ramaccia, D., Tomasin, S., Moretto, F., Toscano, A., et al. (2023). Beamforming metasurface for antenna systems in 5G/6G environments. In Proceedings of the 16th European Conference on Antennas and Propagation (EuCAP). 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.23919/eucap57121.2023.10133190].
Beamforming metasurface for antenna systems in 5G/6G environments
Stefanini, L.;Ramaccia, D.;Toscano, A.;Bilotti, F.
2023-01-01
Abstract
Fifth-/sixth-generation communication systems are facing several challenges in terms of speed requirements, bandwidth allocation at higher frequencies, and the number of servable users. In this framework, highly directive Phased Array Antennas (PAAs) have been employed with the goal to mitigate the path losses at those frequencies and benefit the narrow beams by reducing interfering signals. However, this shifted the access to the network from omnidirectional search to sequential search, requiring dynamic reconfigurability of PPA on time and thus complex beam-forming networks. In this contribution, we report our results on the design of a beamforming metasurface that behaves as a matrix beamforming network. The proposed system speeds up the IA procedure with respect to traditional systems thanks to its parallel transmission mode: many beams can be fired at the same time drastically reducing the latency. The results demonstrate that a much faster IA with a similar success probability can be reached.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
