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Data · dataset · 2026

Ultra-reliable and near zero-latency communications for industrial automation

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32638785.v1

Ultra-reliable and low-latency communications (URLLC) is introduced as one of three main components of 5G new radio (5G NR).

Description

By providing high-quality wireless links with ultra-reliability (i.e., up to 99.99999\%) and near-zero latency (i.e., 1 ms), URLLC is powerfully realising a wide range of mission-critical applications in different domains such as telesurgery, immersive entertainment, tactile internet, and autonomous industry.

In industrial automation, the enhancement of URLLC plays a significant role in enabling time-sensitive applications like motion control, mobile robots, video-driven machine-human interaction, and augmented reality (AR) / virtual reality (VR) for maintenance. Therefore, the development and deployment of URLLC have been recently drawing much attention in both academia and industry.This thesis mainly focuses on URLLC and its applications in industrial automation.

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The contributions of this thesis can be summarised as follows. We first summarise the overview of URLLC and mobile edge computing (MEC) technologies, their applications, and state-of-the-art literature. Then, research problems relating to URLLC reliability and end-to-end latency for industrial automation are addressed by mathematical formulations and solutions.

The considered problems span various aspects of wireless communication resources like blocklength, bandwidth, power control, and computing resource management in MEC-based systems. Finally, extensive results from simulations are depicted to validate the effectiveness of the proposed schemes in terms of improving transmission reliability, reducing latency, as well as optimising system resources in studied models.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Communications engineering 70%
Provenance · 3 source records, 11 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/326387855 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/326387855 d agoJSON v1
DMU Figshareoai:figshare.com:article/326387855 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:engineeringmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:engineeringmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
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