Abstract
Recently, we are witnessing the remarkable progress and widespread adoption of sensing technologies in autonomous driving, robotics, and metaverse. Considering the rapid advancement of computer vision (CV) technology to analyze the sensing information, we anticipate a proliferation of wireless applications exploiting the sensing and CV technologies in 6G. In this article, we provide a holistic overview of the sensing and CV-aided wireless communications (SVWC) framework for 6G. By analyzing the high-resolution sensing information through the powerful CV techniques, SVWC can quickly and accurately understand the wireless environments and then perform the wireless tasks. To demonstrate the efficacy of SVWC, we design the whole process of SVWC including the sensing dataset collection, DL model training, and execution of realistic wireless tasks. From the numerical evaluations on 6G communication scenarios, we show that SVWC achieves considerable performance gains over the conventional 5G systems in terms of positioning accuracy, data rate, and access latency.
Abstract (translated)
近年来，我们在自动驾驶、机器人技术和元宇宙中见证了感测技术的显著进步和广泛应用。考虑到计算机视觉（CV）技术在分析感测信息方面的快速进步，我们预计在6G中会涌现出大量利用感测和CV技术的有线应用程序。在本文中，我们全面概述了6G中基于感测和CV技术的无线通信（SVWC）框架。通过利用强大的CV技术分析高分辨率感测信息，SVWC可以快速且准确地了解无线环境，然后执行无线任务。为了证明SVWC的有效性，我们设计了一个包括感测数据集收集、DL模型训练和执行真实无线任务的SVWC过程。从6G通信场景的数值评估中，我们证明了SVWC在定位精度、数据速率和接入延迟方面显著优于传统的5G系统。
URL
https://arxiv.org/abs/2405.03945
