LLM-Empowered MAPPO for Embodied Cognitive Satellite–Terrestrial Networks With RSMA
This paper introduces an embodied agentic AI framework that integrates large language models (LLMs) with multi-agent reinforcement learning (MADRL) to enable adaptive control in cognitive satellite-terrestrial networks (CSTNs). The framework embeds LLM-based cognitive modules into network entities, transforming them in...