Large Language Models meet Network Slicing Management and Orchestration Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.36227/techrxiv.171173194.46729464/v1
Network slicing, a cornerstone technology for future networks, enables the creation of customized virtual networks on a shared physical infrastructure.This fosters innovation and agility by providing dedicated resources tailored to specific applications.However, current orchestration and management approaches face limitations in handling the complexity of new service demands within multi-administrative domain environments.This paper proposes a future vision for network slicing powered by Large Language Models (LLMs) and multi-agent systems, offering a framework that can be integrated with existing Management and Orchestration (MANO) frameworks.This framework leverages LLMs to translate user intent into technical requirements, map network functions to infrastructure, and manage the entire slice lifecycle, while multi-agent systems facilitate collaboration across different administrative domains.We also discuss the challenges associated with implementing this framework and potential solutions to mitigate them.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.171173194.46729464/v1
- https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171173194.46729464/v1
- OA Status
- gold
- Cited By
- 1
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393306220
Raw OpenAlex JSON
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https://openalex.org/W4393306220Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36227/techrxiv.171173194.46729464/v1Digital Object Identifier
- Title
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Large Language Models meet Network Slicing Management and OrchestrationWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-03-29Full publication date if available
- Authors
-
Abdulhalim Dandoush, Viswanath Kumar Skand Priya, Mueen Uddin, Usman KhalilList of authors in order
- Landing page
-
https://doi.org/10.36227/techrxiv.171173194.46729464/v1Publisher landing page
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https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171173194.46729464/v1Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171173194.46729464/v1Direct OA link when available
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Orchestration, Slicing, Computer science, World Wide Web, Musical, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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