Agentic AI Networking for Heterogeneous Unmanned Aerial Systems in Low-Altitude Wireless Networks
Researchers propose a hierarchical hybrid LLM-MARL architecture to address the challenge of coordinating heterogeneous services in low-altitude wireless networks for unmanned aerial systems. The framework uses LLM-assisted game orchestration to adapt to changing service requirements and resource priorities without retraining policies.
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