Reconfigurable intelligent surfaces (RISs), with the potential to realize a smart radio environment, have emerged as an energy-efficient and a cost-effective technology to support the services and demands foreseen for coming decades. By leveraging a large number of low-cost passive reflecting elements, RISs introduce a phase-shift in the impinging signal to create a favorable propagation channel between the transmitter and the receiver.~\textcolor{black}{In this article, we provide a tutorial overview of RISs for sixth-generation (6G) wireless networks. Specifically, we present a comprehensive discussion on performance gains that can be achieved by integrating RISs with emerging communication technologies. We address the practical implementation of RIS-assisted networks and expose the crucial challenges, including the RIS reconfiguration, deployment and size optimization, and channel estimation. Furthermore, we explore the integration of RIS and non-orthogonal multiple access (NOMA) under imperfect channel state information (CSI). Our numerical results illustrate the importance of better channel estimation in RIS-assisted networks and indicate the various factors that impact the size of RIS. Finally, we present promising future research directions for realizing RIS-assisted networks in 6G communication.
翻译:具有实现智能无线电环境潜力的可重新配置智能表面(RIS),已成为一种节能和成本效益高的技术,用于支持未来数十年预计提供的服务和需求。通过利用大量低成本的被动反射元素,RIS引入了在发报机和接收器之间建立有利传播渠道的阻断信号的阶段轮班。 {textcolca{black}}在文章中,我们对第六代(6G)无线网络的RIS进行了辅导性概述。具体地说,我们全面讨论了通过将RIS与新兴通信技术相结合可以取得的业绩收益。我们讨论了实际实施RIS辅助网络的问题,并揭示了关键的挑战,包括RIS重组、部署和规模优化以及频道估计。此外,我们探讨了在不完善的频道状态信息下将RIS和非orod多访问(NOMA)整合在一起的问题。我们的数字结果说明了在RIS辅助网络中更好地估计频道的重要性,并指明了影响RIS规模的各种因素。最后,我们提出了在6G通信中实现RIS辅助网络的未来研究方向。