可重构智能表面辅助的感知型、弹性型与高效型网络
Perceptive, Resilient, and Efficient Networks assisted by Reconfigurable Intelligent Surfaces
AI总结：
本文研究利用可重构智能表面（RIS）的先进波前工程实现波束聚焦、弯曲与自愈，并展示其在感知型、弹性型、高效型网络中的潜力及混合波束赋形/聚焦定位技术。
摘要：
无线通信如今正朝着更高的工作频率转移，以满足不断增长的带宽需求。虽然可重构智能表面（RIS）通常被设想用于恢复被阻塞链路的视距路径，并有效对抗增大的路径损耗，但其功能可以远远超出这些基本操作。凭借其大表面积和大量散射体，RIS可以被利用来执行先进的波前工程，本质上将入射波束转换为非平凡的反射波束，从而能够比传统波束赋形更高效地应对高频带来的挑战。本文展示了利用RIS进行先进波前工程如何实现能够聚焦、弯曲和自愈的波束轮廓，从而提供超越当前最先进水平的功能。文中讨论了它们作为感知型、弹性型和高效型网络使能器的潜力，并展示了一种基于混合波束赋形/波束聚焦方案的定位技术。
英文摘要：
Wireless communications are nowadays shifting to higher operation frequencies with the aim to meet the ever-increasing demand for bandwidth. While reconfigurable intelligent surfaces (RISs) are usually envisioned to restore the line-of-sight of blocked links and to efficiently counteract the increased pathloss, their functionalities can extend far beyond these basic operations. Owing to their large surface and the multitude of scatterers, RISs can be exploited to perform advanced wavefront engineering, essentially transforming the incident beam into a non-trivial reflected beam that is able to address the challenges of high frequencies more efficiently than conventional beam-forming. In this paper it is demonstrated how advanced wavefront engineering with RISs enables beam profiles that are able to focus, bend and self-heal, thus offering functionalities beyond the current state-of-the-art. Their potential as enablers of perceptive, resilient, and efficient networks is discussed, and a localization technique based on a hybrid beam-forming/beam-focusing scheme is demonstrated.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
