# From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)

arXiv: https://arxiv.org/abs/2605.20608 · HTML: https://mlsanity.com/paper/2605.20608/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 9 references that are in the map.
- First posted on arXiv 20 May 2026.

## Builds on (most cited first, 1 of 1)

- [TelOps: AI-driven Operations and Maintenance for Telecommunication Networks](https://mlsanity.com/paper/2412.04731/) (2024)

## Abstract (arXiv)

Realizing Level 4/5 Autonomous Networks (AN) demands a shift from static automation to agent-native intelligence. Current operations, reliant on rigid scripts, lack the cognitive agency to handle off-nominal conditions. To address this, this letter proposes a hierarchical multi-agent reference architecture enabling high-level autonomy. The framework features a Dual-Driven Orchestrator that coordinates specialized Executive Agents, supported by a shared Public Memory for unified domain knowledge. A key innovation is the integration of agent self-awareness, which empowers the system to harmonize deliberative strategic governance with reflexive fault recovery. We instantiate and validate this architecture within a 5G Core environment. Case studies demonstrate that the system sustains critical throughput under congestion and reduces Mean Time to Repair (MTTR) by 86%, confirming its efficacy in unifying strategic planning with operational resilience.