Frequency Selective Surface Design Using Coot Optimization Algorithm for 5G Applications

被引:1
作者
Boursianis, Achilles D. [1 ]
Papadopoulou, Maria S. [1 ]
Salucci, Marco [2 ]
Polo, Alessandro [2 ]
Sarigiannidis, Panagiotis [3 ]
Koulouridis, Stavros [3 ]
Goudos, Sotirios K. [1 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Phys, ELEDIA AUTH, Thessaloniki, Greece
[2] Univ Trento, ELEDIA Res Ctr, Trento, Italy
[3] Univ Western Macedonia, Dept Elect & Comp Engn, Kozani, Greece
来源
2022 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY (IWAT) | 2022年
基金
欧盟地平线“2020”;
关键词
Frequency Selective Surface; 5G application; Coot Optimization Algorithm; meta-heuristic; swarm intelligence; optimization method;
D O I
10.1109/iWAT54881.2022.9810997
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:184 / 187
页数:4
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