Enhancing 6G IoT Communications: UAV Relayed Satellite D2D with Large Language Model Optimization

Integrating satellite, UAVs, and IoT networks presents significant challenges in optimizing performance across dynamic environments. This article proposes a novel LLM-driven framework for optimizing resource allocation, device association, and UAV positioning in satellite-UAV-IoT networks. The solution addresses critical issues, including network congestion, mobility, and energy consumption, while incorporating action dimension reduction to enhance computational efficiency. Experimental results demonstrate that the framework substantially improves communication efficiency in dense urban scenarios, highlighting its potential for managing next-generation integrated networks.