HANA: Hierarchical Multi-Agent Architecture for Autonomous Networks
A recent study published on arXiv introduces the Hierarchical Agent-native Network Architecture (HANA) designed for Level 4/5 Autonomous Networks. This innovative framework substitutes inflexible scripts with a Dual-Driven Orchestrator that manages specialized Executive Agents, all backed by a communal Public Memory. HANA incorporates agent self-awareness to align strategic governance with responsive fault recovery. Tested within a 5G Core setting, the architecture maintains essential throughput during congestion and achieves an 86% reduction in Mean Time to Repair.
Key facts
- Paper title: From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)
- arXiv ID: 2605.20608
- Proposes a hierarchical multi-agent reference architecture for Level 4/5 Autonomous Networks
- Features a Dual-Driven Orchestrator and specialized Executive Agents
- Includes a shared Public Memory for unified domain knowledge
- Integrates agent self-awareness for strategic and reflexive operations
- Validated in a 5G Core environment
- Reduces Mean Time to Repair (MTTR) by 86%
Entities
Institutions
- arXiv