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STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks
LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes difficult to support fine-grained quality-of-service (QoS) provisioning. Existing studies mainly optimize routing over network states with predefined objectives, but rarely address the practical challenge of translating unstructured natural-language service requests into adaptive routing decisions. To bridge this gap, we propose STR-Agent, an LLM-driven framework for QoS-aware routing in LEO satellite networks. The key innovation of STR-Agent lies in
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Evidence & attribution
- arXiv · Artificial Intelligence · 2026-09-17T13:12:22.000Z
- arXiv · AI, language, vision and robotics · 2026-09-17T13:12:22.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.