AI-Native Network Digital Twin for Intelligent Network Management in 6G Article Swipe
Wen Wu
,
Xinyu Huang
,
Tom H. Luan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.01584
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.01584
As a pivotal virtualization technology, network digital twin is expected to accurately reflect real-time status and abstract features in the on-going sixth generation (6G) networks. In this article, we propose an artificial intelligence (AI)-native network digital twin framework for 6G networks to enable the synergy of AI and network digital twin, thereby facilitating intelligent network management. In the proposed framework, AI models are utilized to establish network digital twin models to facilitate network status prediction, network pattern abstraction, and network management decision-making. Furthermore, potential solutions are proposed for enhance the performance of network digital twin. Finally, a case study is presented, followed by a discussion of open research issues that are essential for AI-native network digital twin in 6G networks.
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Metadata
- Type
- preprint
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- en
- Landing Page
- http://arxiv.org/abs/2410.01584
- https://arxiv.org/pdf/2410.01584
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- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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- DOI
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https://doi.org/10.48550/arxiv.2410.01584Digital Object Identifier
- Title
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AI-Native Network Digital Twin for Intelligent Network Management in 6GWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-10-02Full publication date if available
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Wen Wu, Xinyu Huang, Tom H. LuanList of authors in order
- Landing page
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https://arxiv.org/abs/2410.01584Publisher landing page
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https://arxiv.org/pdf/2410.01584Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2410.01584Direct OA link when available
- Concepts
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Computer science, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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