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

A. Boursianis, Maria S. Papadopoulou, M. Salucci, A. Polo, P. Sarigiannidis, S. Koulouridis, S. Goudos
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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.
基于Coot优化算法的5G频率选择曲面设计
在过去几年中,对频率选择表面的兴趣已经提高,主要是由于5G蜂窝通信网络的出现。fss作为具有多种特性的电磁结构,在5G通信系统中具有比较优势。在本文中,我们设计和优化了一个FSS,作为5G NR n78频段的吸收器。作为优化器,我们使用了一种元启发式群体智能算法,即库特优化算法。所选择的算法同时对单元胞和相应的FSS结构执行优化方法。计算结果表明,所提出的FSS设计在最小反射系数、最大实现增益和最大效率方面具有令人满意的性能,使其成为5G应用的有希望的候选器件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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