LLM-Driven Green Spectrum Management for 6G Non-Terrestrial Networks

This paper develops a novel approach to green spectrum management for 6G Non-Terrestrial Networks (NTNs) using Large Language Models (LLMs). An intelligent system is proposed, which dynamically allocates and shares spectrum resources between terrestrial and non-terrestrial networks while optimizing energy efficiency. The system employs adaptive licensing schemes that can adjust to varying network loads and environmental conditions. The proposed LLM-based system uses real-time analysis of network states and user demands, facilitating more efficient spectrum utilization across diverse geographical regions and orbital layers of NTNs. Simulation results demonstrate significant improvements in both spectrum utilization efficiency and energy consumption compared to conventional methods. This research offers new perspectives on green communications for the 6G era and how dynamic spectrum assignment policies will impact future regulatory approaches and technological development in the evolving telecommunications landscape.