LLM-based emulation of the radio resource control layer: towards AI-native RAN protocols

This is a preprint and may not have undergone formal peer review

Liu, Z. orcid.org/0009-0002-6772-0005, Liu, B., Valcarce, A. et al. (1 more author) (Submitted: 2025) LLM-based emulation of the radio resource control layer: towards AI-native RAN protocols. [Preprint - arXiv] (Submitted)

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Item Type: Preprint
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© 2025 The Author(s). For reuse permissions, please contact the Author(s).

Keywords: 6G; Radio Resource Control; protocol learning; AI-Native Air Interface; Large AI Model
Dates:
  • Submitted: 22 May 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 May 2025 16:49
Last Modified: 23 May 2025 16:49
Status: Submitted
Identification Number: 10.48550/arXiv.2505.16821
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