NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM
Autonomous network management requires systems that can evaluate Network Service Intents (NSIs) under varying conditions without manual implementation of analysis logic, as envisioned in TM Forum Level~4 (L4) autonomy. Behavioral Network Digital Twins (NDTs) enable such evaluation, but existing NDTs rely on pre-defined analytical logic, limiting adaptability for evolving closed-loop control. This paper introduces the NDT factory, a multi-agent software system that synthesizes executable behavioral NDTs on demand from semantic models using Large Language Model (LLM). We validate the system using a Call Admission Control (CAC) case study, where deterministic what-if analysis serves as the a...
| Authors | Sudipta Acharya, Petar Djukic, Burak Kantarci |
|---|---|
| Primary category | cs.NI |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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