论文标题

频率混合智能反射表面非线性无线传播

Frequency-Mixing Intelligent Reflecting Surfaces for Nonlinear Wireless Propagation

论文作者

Yuan, Jide, De Carvalho, Elisabeth, Williams, Robin Jess, Björnson, Emil, Popovski, Petar

论文摘要

我们介绍了频率混合智能反射表面(FMX-IR)的概念,其中表面的元素不断改变入射信号的相位。这样,FMX-IRS充当频率混合器,并使传播环境非线性,从而引入新频率。我们研究了拟议概念的基本特征,并证明了其优势源于对无线传播的新型控制类型。通道解耦功能和反射通道之间的相关性用于体系结构,并通过模拟验证。

We introduce the concept of frequency-mixing intelligent reflecting surface (FMx-IRS), where the elements of the surface continuously change the phases of the incident signals. In this way, the FMx-IRS acts as a frequency mixer and makes the propagation environment nonlinear, thereby introducing new frequencies. We study the basic features of the proposed concept and demonstrate its advantages that stem from the novel type of control over the wireless propagation. The channel decoupling feature and the correlation between reflected channels are elaborated for the architecture, and are validated by the simulations.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源