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Large Language Models meet Network Slicing Management and Orchestration
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  • Abdulhalim Dandoush,
  • Viswanath Kumar Skand Priya,
  • Mueen Uddin,
  • Usman Khalil
Abdulhalim Dandoush
University of Doha for Science and Technology (UDST), Esme Research Lab, ESME
Viswanath Kumar Skand Priya
Esme Research Lab, ESME

Corresponding Author:[email protected]

Author Profile
Mueen Uddin
University of Doha for Science and Technology (UDST)
Usman Khalil
University Brunei Darussalam


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.
20 Mar 2024Submitted to TechRxiv
29 Mar 2024Published in TechRxiv