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5G-Based Low-Latency Teleoperation: Two-Way Timeout Approach

  • Burak Kizilkaya
  • , Olaoluwa Popoola
  • , Guodong Zhao
  • , Muhammad Ali Imran
  • University of Glasgow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Recent advances in communications and robotics enable myriad teleoperation applications, empowering real-time remote operation in various application areas such as healthcare, education, manufacturing, and aerial manipulation. The main problems in teleoperation systems are the time delay and packet loss caused by poor network conditions. Ultra-reliable Low-Latency Communication (URLLC), one of the key services of fifth-generation cellular communications (5G), is expected to enable real-time teleoperation by mitigating latency and reliability issues of pre-5G communications. In this study, we develop a 5G-enabled teleoperation testbed to conduct experiments on communication latency and packet loss, demonstrating the current capabilities of 5G communications for teleoperation applications. Furthermore, we propose a two-way timeout approach to reduce the communication latency. The proposed approach reduces the end-to-end (E2E) latency by limiting the waiting time for new packet reception. Extensive latency and packet loss experiments are conducted to demonstrate the superiority of the proposed approach compared to the benchmark approach without a timeout. The experimental results corroborate that the proposed approach can reduce E2E latency by up to 65% and improves overall reliability.

Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems - 24th Annual Conference, TAROS 2023, Proceedings
EditorsFumiya Iida, Arsen Abdulali, Perla Maiolino, Mingfeng Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages470-481
Number of pages12
ISBN (Print)9783031433597
DOIs
StatePublished - 2023
Externally publishedYes
EventProceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023 - Cambridge, United Kingdom
Duration: 13 Sep 202315 Sep 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14136 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceProceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023
Country/TerritoryUnited Kingdom
CityCambridge
Period13/09/2315/09/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • 5G
  • Low-Latency
  • Robotics
  • Teleoperation
  • URLLC

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