基于Coot优化算法的5G频率选择曲面设计

A. Boursianis, Maria S. Papadopoulou, M. Salucci, A. Polo, P. Sarigiannidis, S. Koulouridis, S. Goudos
{"title":"基于Coot优化算法的5G频率选择曲面设计","authors":"A. Boursianis, Maria S. Papadopoulou, M. Salucci, A. Polo, P. Sarigiannidis, S. Koulouridis, S. Goudos","doi":"10.1109/iWAT54881.2022.9810997","DOIUrl":null,"url":null,"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.","PeriodicalId":106416,"journal":{"name":"2022 International Workshop on Antenna Technology (iWAT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Frequency Selective Surface Design Using Coot Optimization Algorithm for 5G Applications\",\"authors\":\"A. Boursianis, Maria S. Papadopoulou, M. Salucci, A. Polo, P. Sarigiannidis, S. Koulouridis, S. Goudos\",\"doi\":\"10.1109/iWAT54881.2022.9810997\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":106416,\"journal\":{\"name\":\"2022 International Workshop on Antenna Technology (iWAT)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Workshop on Antenna Technology (iWAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iWAT54881.2022.9810997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Workshop on Antenna Technology (iWAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iWAT54881.2022.9810997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Frequency Selective Surface Design Using Coot Optimization Algorithm for 5G Applications
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Highly Directional Wideband Transmitarray for 79 GHz Band Radars Implementation of an SDR-based FMCW Radar Receiver using LabVIEW NXG Reconfigurable Notch-Band Antenna Based on Liquid Metal Switching Capability A mm-wave Circularly Polarized Wristwatch Dielectric Resonator Antenna for Off-Body Communications Design, Fabrication, and Characterization of Slot-Fed Flexible Vinyl-Printed Yagi-Uda Antenna for CubeSat Applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1