{"title":"Frequency Selective Surface Toward 6G Communication Systems: A Contemporary Survey","authors":"Xuehan Chen;Jingjing Tan;Litian Kang;Fengxiao Tang;Ming Zhao;Nei Kato","doi":"10.1109/COMST.2024.3369250","DOIUrl":null,"url":null,"abstract":"Frequency selective surfaces (FSSs) have attracted extensive attention for suppressing interference and improving channel quality and coverage by selectively transmitting or directionally reflecting electromagnetic waves in a specific frequency range in wireless communication networks. Therefore, FSS technology is considered to be another candidate after intelligent reflective surfaces (IRSs) in the sixth generation (6G) communication systems. In this paper, we provide a comprehensive investigation of the theory, design, and classification of FSS, and a contemporary overview of its vision and current applications in future 6G networks, as well as some emerging use cases of FSSs in 6G networks. Then, we describe the fundamentals and design methods of FSS from architecture, performance metrics, and experimental analysis methods and classify the relevant papers according to the FSS applications. Moreover, we review systematically the frequency selection characteristics, reflection, transmission, and absorption properties of FSS, and discuss the corresponding communication models. Additionally, we provide an overview of the vision and requirements for FSS-assisted 6G networks and summarize the FSS communication architecture and performance analysis towards 6G networks. Since the IRS technology is another metasurface candidate for 6G networks, we compare and review them with those for IRS-assisted 6G networks. Furthermore, we review some emerging use cases in 6G networks and present a new use case of adaptive spectrum allocation based on FSS. Finally, based on an extensive literature review and common weaknesses of FSS extant literature, we offer several challenges and some potential research directions.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"26 3","pages":"1635-1675"},"PeriodicalIF":34.4000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Surveys and Tutorials","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10443962/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Frequency selective surfaces (FSSs) have attracted extensive attention for suppressing interference and improving channel quality and coverage by selectively transmitting or directionally reflecting electromagnetic waves in a specific frequency range in wireless communication networks. Therefore, FSS technology is considered to be another candidate after intelligent reflective surfaces (IRSs) in the sixth generation (6G) communication systems. In this paper, we provide a comprehensive investigation of the theory, design, and classification of FSS, and a contemporary overview of its vision and current applications in future 6G networks, as well as some emerging use cases of FSSs in 6G networks. Then, we describe the fundamentals and design methods of FSS from architecture, performance metrics, and experimental analysis methods and classify the relevant papers according to the FSS applications. Moreover, we review systematically the frequency selection characteristics, reflection, transmission, and absorption properties of FSS, and discuss the corresponding communication models. Additionally, we provide an overview of the vision and requirements for FSS-assisted 6G networks and summarize the FSS communication architecture and performance analysis towards 6G networks. Since the IRS technology is another metasurface candidate for 6G networks, we compare and review them with those for IRS-assisted 6G networks. Furthermore, we review some emerging use cases in 6G networks and present a new use case of adaptive spectrum allocation based on FSS. Finally, based on an extensive literature review and common weaknesses of FSS extant literature, we offer several challenges and some potential research directions.
期刊介绍：
IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues.
A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.
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