The interest in Frequency Selective Surfaces has been raised during the last years, mostly due to the advent of 5G cellular communication networks. As electromagnetic structures with diverse characteristics, FSSs can provide comparative advantages in 5G communication systems. In this paper, we design and optimize an FSS, which acts as an absorber in the 5G NR n78 frequency band. As an optimizer, we utilize a meta-heuristic swarm intelligence algorithm, i.e., the Coot Optimization Algorithm. The selected algorithm performs the optimization method both to the unit cell and the corresponding FSS structure. Computed results demonstrate quite satisfactory performance of the presented FSS design, in terms of the minimum reflection coefficient, the maximum realized gain, and the maximum efficiency making it a promising candidate for 5G applications.
Frequency Selective Surface Design Using Coot Optimization Algorithm for 5G Applications / Boursianis, Achilles D.; Papadopoulou, Maria S.; Salucci, Marco; Polo, Alessandro; Sarigiannidis, Panagiotis; Koulouridis, Stavros; Goudos, Sotirios K.. - STAMPA. - (2022), pp. 184-187. (Intervento presentato al convegno 2022 International Workshop on Antenna Technology, iWAT 2022 tenutosi a Dublin, Ireland nel 16th May - 18th May 2022) [10.1109/iwat54881.2022.9810997].
Frequency Selective Surface Design Using Coot Optimization Algorithm for 5G Applications
Salucci, Marco;Polo, Alessandro;
2022-01-01
Abstract
The interest in Frequency Selective Surfaces has been raised during the last years, mostly due to the advent of 5G cellular communication networks. As electromagnetic structures with diverse characteristics, FSSs can provide comparative advantages in 5G communication systems. In this paper, we design and optimize an FSS, which acts as an absorber in the 5G NR n78 frequency band. As an optimizer, we utilize a meta-heuristic swarm intelligence algorithm, i.e., the Coot Optimization Algorithm. The selected algorithm performs the optimization method both to the unit cell and the corresponding FSS structure. Computed results demonstrate quite satisfactory performance of the presented FSS design, in terms of the minimum reflection coefficient, the maximum realized gain, and the maximum efficiency making it a promising candidate for 5G applications.File | Dimensione | Formato | |
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