Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Automated Telecom Network Troubleshooting
3.20T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2511.00651.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA paper proposing a multi-agent system where LLM-based agents (orchestrator, solution planner, executor, data retriever, root-cause analyzer) coordinate telecom network troubleshooting. A fine-tuned small language model generates remediation plans from internal documentation, with experimental validation across RAN and core network domains.
Why it mattersConcrete MAS architecture with named agent roles and a domain-grounded SLM fine-tuning step for solution planning, with reported experimental results.
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