A vision of an XR-aided teleoperation system toward 5G/B5G

Fenghe Hu, Yansha Deng, Hui Zhou, Tae Hun Jung, Chan Byoung Chae, A. Hamid Aghvami

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Extended reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, information-rich, 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 fulfill these requirements, cellular-sup-ported wireless connectivity can be a promising solution that can largely benefit robot-to-XR and 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 realize these use cases, we introduce potential solutions for each case with cellular connections. Finally, we build testbeds to investigate the effectiveness of supporting our proposed links using current wireless topologies.

Original languageEnglish
Article number9356511
Pages (from-to)34-40
Number of pages7
JournalIEEE Communications Magazine
Issue number1
Publication statusPublished - 2021 Jan

Bibliographical note

Funding Information:
This work was partially supported by IITP, Korea (No. 2018-0-00170).

Publisher Copyright:
© 1979-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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