Problem
Research questions and friction points this paper is trying to address.
Low-altitude wireless networks
Heterogeneous unmanned aerial systems
Dynamic non-cooperative game
Service requirements
Resource priorities
Agentic AI Networking for Heterogeneous Unmanned Aerial Systems in Low-Altitude Wireless Networks
🤖 AI Summary
本文针对低空无线网络中异构无人机系统的协同问题，提出了一种结合大型语言模型和多智能体强化学习的双环架构方法以适应动态变化的服务需求。
📝 Abstract
Low-altitude wireless networks (LAWNs) are emerging as a key infrastructure for heterogeneous unmanned aerial systems that support concurrent services within a shared three-dimensional airspace. Their coexistence creates strong coupling among mobility, connectivity, and shared network resources, while heterogeneous services impose distinct and time-varying requirements. These interactions naturally form a dynamic non-cooperative game in which both operating conditions and coordination objectives evolve over time. Conventional optimization and learning-based controllers typically rely on predefined objectives, limiting their ability to adapt autonomously to changing service requirements and resource priorities. To address this challenge, we propose a hierarchical hybrid large language model (LLM)- multi-agent reinforcement learning (MARL) architecture organized as a dual-loop structure. Specifically, an outer adaptation loop employs LLM-assisted game orchestration to interpret service requirements and operator intent, and reconfigure objectives and resource priorities, while an inner loop executes decentralized, parameter-conditioned MARL policies under the configured game. A logistics-monitoring case study illustrates how the proposed framework facilitates coordinated coexistence among heterogeneous services, adapting to evolving operating conditions without retraining the underlying MARL policies. Finally, we discuss key challenges and research directions toward scalable, trustworthy, and adaptive agentic LAWNs.
Innovation
Methods, ideas, or system contributions that make the work stand out.
hierarchical hybrid LLM-MARL architecture
dual-loop structure
LLM-assisted game orchestration
parameter-conditioned MARL policies
🔎 Similar Papers
No similar papers found.
