Recent Trends in the Reconfigurable Intelligent Surfaces (RIS): Active RIS to Brain-controlled RIS

Muhammad Miftahul Amri
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引用次数: 3

Abstract

Reconfigurable Intelligent Surfaces (RIS) have risen as a promising technology for future wireless communications. RIS consists of a massive number of unit cells, each of which can be tuned individually to induce a manipulation of the wireless signal properties. These properties include the signal's phase, magnitude, frequency, and even polarization. In this manuscript, we briefly present the recent trends in RIS research. This manuscript covers the trends in the development of active RIS, various RIS control elements comparison (i.e., electronics, mechanics, and materials approaches), flexible and transparent RIS, RIS lens and RIS mirror, and the most-recent brain-controlled RIS paradigm. This review was derived from the recent high-quality meta-analyses, reviews, and original research papers related to the recent RIS works. We extensively searched online libraries such as IEEE, Nature, Scopus, and Google Scholar for those articles. There were no limitations on the year of the publications. In this manuscript, we consider any research study types written in English (excluding unpublished data, technical notes, and submitted manuscripts). As a result, we have gathered more than 50 references related to the recent RIS research. While RIS promised attractive capabilities for reconfiguring the wireless environment, several challenges are lying ahead and must be overcome. Among those, there are two major challenges: multiplicative fading effect and channel estimation problems.
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可重构智能表面(RIS)的最新发展趋势:主动RIS到脑控RIS
可重构智能表面(RIS)已成为未来无线通信的一项有前途的技术。RIS由大量的单元格组成,每个单元格都可以单独调谐以诱导对无线信号特性的操纵。这些特性包括信号的相位、幅度、频率甚至极化。在本文中,我们简要介绍了RIS研究的最新趋势。本文涵盖了主动RIS的发展趋势,各种RIS控制元素比较(即电子,机械和材料方法),柔性和透明RIS, RIS透镜和RIS镜子,以及最新的脑控RIS范式。本综述来源于近期高质量的荟萃分析、综述和与RIS相关的原创研究论文。我们广泛地搜索了诸如IEEE、Nature、Scopus和b谷歌Scholar等在线图书馆来获取这些文章。对出版物的出版年份没有限制。在这篇文章中,我们考虑了任何用英语写的研究类型(不包括未发表的数据、技术说明和提交的手稿)。因此,我们收集了与最近RIS研究相关的50多篇参考文献。虽然RIS承诺具有重新配置无线环境的吸引力,但仍有一些挑战摆在面前,必须克服。其中,有两个主要的挑战:乘性衰落效应和信道估计问题。
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