Reconfigurable Intelligent Surfaces: Design, Implementation, and Practical Demonstration

Yijun Feng;Qi Hu;Kai Qu;Weixu Yang;Yilin Zheng;Ke Chen
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引用次数: 2

Abstract

Metasurfaces, ultrathin two-dimensional version of metamaterials, have attracted tremendous attention due to their exotic capabilities to freely manipulate electromagnetic waves. By incorporating various tunable materials or elements into metasurface designs, reconfigurable metasurfaces and related metadevices with functionalities controlled by external stimuli can be realized, opening a new avenue to achieving dynamic manipulation of electromagnetic waves. Recently, based on the tunable metasurface concept, reconfigurable intelligent surfaces (RISs) have received significant attention and have been regarded as a promising emerging technology for future wireless communication due to their potential to enhance the capacity and coverage of wireless networks by smartly reconfiguring the wireless propagation environment. Here, in this article, we first focus on technical issues of RIS system implementation by reviewing the existing research contributions, paying special attention to designs in the microwave regime. Then, we showcase our recent attempts to practically demonstrate RIS systems in real-world applications, including deploying reflective RIS systems in indoor scenarios to enhance the wireless network coverage and utilizing intelligent omni-metasurfaces to improve both indoor and through-wall wireless communication quality. Finally, we give our own perspectives on possible future directions and existing challenges for RISs toward a truly commercial intelligent technology platform.
可重构智能曲面:设计、实现和实际演示
超表面是超材料的超薄二维版本,由于其自由操纵电磁波的奇特能力而引起了极大的关注。通过将各种可调谐材料或元件结合到元表面设计中,可以实现具有由外部刺激控制的功能的可重构元表面和相关元器件,为实现电磁波的动态操纵开辟了一条新途径。最近,基于可调元表面概念,可重构智能表面(RIS)受到了极大的关注,并被视为未来无线通信的一种有前途的新兴技术,因为它们有可能通过智能地重新配置无线传播环境来增强无线网络的容量和覆盖范围。在本文中,我们首先通过回顾现有的研究成果来关注RIS系统实现的技术问题,特别关注微波领域的设计。然后,我们展示了我们最近在现实世界应用中实际演示RIS系统的尝试,包括在室内场景中部署反射式RIS系统以增强无线网络覆盖,以及利用智能全向元表面来提高室内和穿墙无线通信质量。最后,我们对RIS走向真正商业化的智能技术平台的未来可能方向和现有挑战给出了自己的看法。
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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