用于传感、通信和计算的可重构智能表面:视角、挑战和机遇

Bin Li, Wancheng Xie, Zesong Fei
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引用次数: 0

摘要

即将到来的 6G 网络有两个主要特点:广覆盖和足够的计算能力。为了支持前景广阔的应用,综合传感、通信和计算(ISCC)被认为是完成原始数据计算以实现精确环境传感的重要推动因素。为帮助 ISCC 网络更好地支持雷达探测、数据传输和边缘计算等综合服务,可重构智能表面(RIS)可通过智能调整环境的电磁特性来提高传输速率和无线覆盖范围。在本文中,我们提出了一个由 RIS 辅助的 ISCC 框架,并利用 RIS 的优势,通过跨层设计改善雷达传感、通信和计算功能,同时讨论了主要挑战。然后,介绍了两种通用应用场景,即无人驾驶飞行器和车联网。最后,数值结果证明了 RIS 辅助 ISCC 的优越性,并提出了一系列未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconfigurable Intelligent Surface for Sensing, Communication, and Computation: Perspectives, Challenges, and Opportunities
Forthcoming 6G networks have two predominant features of wide coverage and sufficient computation capability. To support the promising applications, Integrated Sensing, Communication, and Computation (ISCC) has been considered as a vital enabler by completing the computation of raw data to achieve accurate environmental sensing. To help the ISCC networks better support the comprehensive services of radar detection, data transmission and edge computing, Reconfigurable Intelligent Surface (RIS) can be employed to boost the transmission rate and the wireless coverage by smartly tuning the electromagnetic characteristics of the environment. In this article, we propose an RIS-assisted ISCC framework and exploit the RIS benefits for improving radar sensing, communication and computing functionalities via cross-layer design, while discussing the key challenges. Then, two generic application scenarios are presented, i.e., unmanned aerial vehicles and Internet of vehicles. Finally, numerical results demonstrate a superiority of RIS-assisted ISCC, followed by a range of future research directions.
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