Role of Sensing and Computer Vision in 6G Wireless Communications

TL;DR

This paper explores how sensing and computer vision technologies can enhance 6G wireless communications by providing high-resolution environment understanding, leading to significant performance improvements over 5G in key metrics.

Contribution

It introduces a comprehensive SVWC framework that integrates sensing and CV techniques into 6G, including dataset collection, model training, and real-world wireless task execution.

Findings

SVWC improves positioning accuracy in 6G scenarios.

SVWC increases data rates compared to 5G.

SVWC reduces access latency in wireless communications.

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.