Network Digital Twin for 5G-Enabled Mobile Robots Article Swipe
Luke Sanchez
,
Lanfranco Zanzi
,
Xi Li
,
Guillem Garí
,
Xavier Costa‐Pérez
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.02253
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.02253
The maturity and commercial roll-out of 5G networks and its deployment for private networks makes 5G a key enabler for various vertical industries and applications, including robotics. Providing ultra-low latency, high data rates, and ubiquitous coverage and wireless connectivity, 5G fully unlocks the potential of robot autonomy and boosts emerging robotic applications, particularly in the domain of autonomous mobile robots. Ensuring seamless, efficient, and reliable navigation and operation of robots within a 5G network requires a clear understanding of the expected network quality in the deployment environment. However, obtaining real-time insights into network conditions, particularly in highly dynamic environments, presents a significant and practical challenge. In this paper, we present a novel framework for building a Network Digital Twin (NDT) using real-time data collected by robots. This framework provides a comprehensive solution for monitoring, controlling, and optimizing robotic operations in dynamic network environments. We develop a pipeline integrating robotic data into the NDT, demonstrating its evolution with real-world robotic traces. We evaluate its performances in radio-aware navigation use case, highlighting its potential to enhance energy efficiency and reliability for 5Genabled robotic operations.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.02253
- https://arxiv.org/pdf/2502.02253
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407186121
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407186121Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.02253Digital Object Identifier
- Title
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Network Digital Twin for 5G-Enabled Mobile RobotsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-04Full publication date if available
- Authors
-
Luke Sanchez, Lanfranco Zanzi, Xi Li, Guillem Garí, Xavier Costa‐PérezList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.02253Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2502.02253Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2502.02253Direct OA link when available
- Concepts
-
Computer science, Robot, Human–computer interaction, Mobile robot, Computer network, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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