论文标题

无线通信的可重新配置智能表面:硬件设计,频道模型和估算技术的概述

Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques

论文作者

Jian, Mengnan, Alexandropoulos, George C., Basar, Ertugrul, Huang, Chongwen, Liu, Ruiqi, Liu, Yuanwei, Yuen, Chau

论文摘要

无线通信网络的未来第六代(6G)的苛刻目标刺激了有关新型材料和射频前端体系结构的最新研究工作,以实现无线连接,以及革命性的通信和计算范式。在6G的开创性候选技术中,可重构智能表面(RISS),它们是具有集成电子电路的人工平面结构,可以编程以操纵​​各种功能的传入电磁场。最近已提倡将RISS纳入无线网络中,以将任何无线信号传播环境转变为动态可编程的环境,旨在用于各种网络目标,例如覆盖范围扩展和能力升高,时空的焦点,具有能源效率和秘密的益处,以及低电子电磁现场曝光。在最近对RIS领域的兴趣以及随之而来的开拓性智能无线环境的开创性概念的推动下,我们在本文中概述并分类将RIS硬件架构的最新进展以及RIS元素和RIS功率单位元素的建模和RIS-Empower and Empopationed无线信号传播的最新发展。我们还详细介绍了RIS授权通信系统的渠道估计方法,该方法构成了将RISS优化在未来无线网络中优化的前提步骤。最后,我们讨论了RIS技术在最新的无线通信标准中的相关性,并强调了RIS技术的当前和未来标准化活动以及随之而来的RIS授权的无线网络方法。

The demanding objectives for the future sixth generation (6G) of wireless communication networks have spurred recent research efforts on novel materials and radio-frequency front-end architectures for wireless connectivity, as well as revolutionary communication and computing paradigms. Among the pioneering candidate technologies for 6G belong the reconfigurable intelligent surfaces (RISs), which are artificial planar structures with integrated electronic circuits that can be programmed to manipulate the incoming electromagnetic field in a wide variety of functionalities. Incorporating RISs in wireless networks has been recently advocated as a revolutionary means to transform any wireless signal propagation environment to a dynamically programmable one, intended for various networking objectives, such as coverage extension and capacity boosting, spatiotemporal focusing with benefits in energy efficiency and secrecy, and low electromagnetic field exposure. Motivated by the recent increasing interests in the field of RISs and the consequent pioneering concept of the RIS-enabled smart wireless environments, in this paper, we overview and taxonomize the latest advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation. We also present a thorough overview of the channel estimation approaches for RIS-empowered communications systems, which constitute a prerequisite step for the optimized incorporation of RISs in future wireless networks. Finally, we discuss the relevance of the RIS technology in the latest wireless communication standards, and highlight the current and future standardization activities for the RIS technology and the consequent RIS-empowered wireless networking approaches.

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