In future cellular systems, wireless localization and sensing functions will be built-in for specific applications, e.g., navigation, transportation, and healthcare, and to support flexible and seamless connectivity. Driven by this trend, the need rises for fine-resolution sensing solutions and cm-level localization accuracy, while the accuracy of current wireless systems is limited by the quality of the propagation environment. Recently, with the development of new materials, reconfigurable intelligent surfaces (RISs) provide an opportunity to reshape and control the electromagnetic characteristics of the environment, which can be utilized to improve the performance of wireless sensing and localization. In this tutorial, we will first review the background and motivation to utilize wireless signals for sensing and localization. Next, we introduce how to incorporate RIS into applications of sensing and localization, including key challenges and enabling techniques, and then some case studies will be presented. Finally, future research directions will also be discussed.
翻译:在未来的蜂窝系统中,无线本地化和遥感功能将为导航、交通和保健等具体应用提供内在功能,并支持灵活和无缝的连接。受这一趋势的驱动,对精解感应解决方案和cm级本地化精度的需求增加,而目前无线系统的准确性受到传播环境质量的限制。最近,随着新材料的开发,可重新配置的智能表面(RIS)为重塑和控制环境的电磁特性提供了机会,这些特性可用来改进无线感测和本地化的性能。在这个教程中,我们将首先审查利用无线信号进行感测和本地化的背景和动力。接下来,我们将介绍如何将RIS纳入遥感和本地化的应用,包括关键挑战和赋能技术,然后将介绍一些案例研究。最后,还将讨论未来的研究方向。