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 unifying intent perception, tool-based execution, experience accumulation, and reflection-based p...
| Authors | Bowen Lu, Mugen Peng, Yaohua Sun et al. |
|---|---|
| Primary category | cs.NI |
| Published | 17 September 2026 |
| Last updated at source | 17 September 2026 |
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