A Vision of XR-aided Teleoperation System Towards 5G/B5G
Fenghe Hu, Yansha Deng, Hui Zhou, Tae Hun Jung and, Chan-Byoung Chae, A. Hamid Aghvami

TL;DR
This paper explores how 5G/B5G cellular networks can support XR-aided teleoperation by analyzing use cases, identifying bottlenecks, and testing wireless solutions to enhance remote operation efficiency in complex scenarios.
Contribution
It presents a comprehensive framework for integrating cellular connectivity into XR teleoperation systems, including use case analysis, QoS requirements, and experimental validation.
Findings
Cellular networks can effectively support XR teleoperation links.
Identified key bottlenecks in current use cases.
Testbeds demonstrate feasibility of proposed solutions.
Abstract
Extended Reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, rich-information and complex scenarios. The multi-sensory XR devices introduce several new types of traffic with unique quality-of-service (QoS) requirements, which are usually defined by three measures---human perception, corresponding sensors, and present devices. To fulfil these requirements, cellular-supported wireless connectivity can be a promising solution that can largely benefit the Robot-to-XR and the XR-to-Robot links. In this article, we present industrial and piloting use cases and identify the service bottleneck of each case. We then cover the QoS of Robot-XR and XR-Robot links by summarizing the sensors' parameters and processing procedures. To realise these use cases, we introduce potential solutions for each case with cellular connections. Finally, we…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Robotics and Automated Systems · IoT Networks and Protocols
