Agentic AI for SAGIN Resource Management_Semantic Awareness, Orchestration, and Optimization
Linghao Zhang, Haitao Zhao, Bo Xu, Hongbo Zhu, and Xianbin Wang

TL;DR
This paper introduces an agentic AI framework for autonomous resource management in SAGIN, leveraging LLM-based agents and hierarchical RL to improve scalability, adaptability, and efficiency in complex 6G networks.
Contribution
It proposes a novel hierarchical agent-reinforcement learning mechanism with LLM-based agents for semantic-aware, autonomous SAGIN resource management.
Findings
Achieved 14% energy reduction in UAV-assisted service orchestration.
Demonstrated lowest average service latency compared to baseline methods.
Validated the framework's effectiveness in energy-constrained, dynamic environments.
Abstract
Space-air-ground integrated networks (SAGIN) promise ubiquitous 6G connectivity but face significant resource management challenges due to heterogeneous infrastructure, dynamic topologies, and stringent quality-of-service (QoS) requirements. Conventional model-driven approaches struggle with scalability and adaptability in such complex environments. This paper presents an agentic artificial intelligence (AI) framework for autonomous SAGIN resource management by embedding large language model (LLM)-based agents into a Monitor-Analyze-Plan- Execute-Knowledge (MAPE-K) control plane. The framework incorporates three specialized agents, namely semantic resource perceivers, intent-driven orchestrators, and adaptive learners, that collaborate through natural language reasoning to bridge the gap between operator intents and network execution. A key innovation is the hierarchical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · Software-Defined Networks and 5G · Satellite Communication Systems
