From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Large AI Model (LAM)-based agents autonomously interpret intent, coordinate resources, and adapt operational behaviors at runtime. However, achieving this vision at the scale and complexity of 6G networks requires management systems that can generate and evolve their own automation software during operation. We introduce Autogenic network management, a reference architecture that extends agentic capabilities with self-programming, self reflection, self-orienting, and self-architecting capabilities. The architecture supports practical staged dep...
| Authors | Petar Djukic, Sudipta Acharya, Takai Eddine Kennouche et al. |
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| Primary category | cs.NI |
| Published | 7 July 2026 |
| Last updated at source | 7 July 2026 |
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