Publication Details
Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform
Sophocleous Marios, Dr.
AGAPIOU, G.
Lessi Christina, M.Sc.
Špaňhel Jakub, Ing., Ph.D. (DCGM)
Lendinez Adrian, BSc
Qiu Renxi, Dr.
Li Dayou
5G, 5G-ERA, autonomous robots, Enhanced robot autonomy, Intent-based
networking, Machine Learning, Semantic models
Novel orchestration architectures for 5G networks have primarily focused on
enhancing Quality of Service, yet have neglected to address Quality of Experience
concerns. Consequently, these systems struggle with intent recognition and
End-to-End interpretability, resulting in the possibility of suboptimal control
policies being developed. The 5G-ERA project has proposed and demonstrated an
AI-driven intent-based networking solution for autonomous robots to address this
issue. Specifically, the proposed solution employs a workflow consisting of four
tools - Action Sequence Generation, Network Intent Estimation, Resource Usage
Forecasting, and OSM Control Policy Generation - to map an individual vertical
action's intent to a global OSM control policy. The paper describes how the
5G-ERA platform enables the onboarding and control of 5G-enabled robots and how
we demonstrate the platform's capabilities through the project's use cases.
@inproceedings{BUT187735,
author="GAVRIELIDES, A. and SOPHOCLEOUS, M. and AGAPIOU, G. and LESSI, C. and ŠPAŇHEL, J. and LENDINEZ, A. and QIU, R. and LI, D.",
title="Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform",
booktitle="IFIP Advances in Information and Communication Technology",
year="2023",
series="Artificial Intelligence Applications and Innovations",
journal="IFIP Advances in Information and Communication Technology",
volume="677",
number="2023",
pages="55--65",
publisher="Springer Nature Switzerland AG",
address="Cham",
doi="10.1007/978-3-031-34171-7\{_}4",
isbn="978-3-031-34170-0",
issn="1868-422X"
}