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Bibliographic Details
Main Authors: Wu, Binghan, Wang, Shoufeng, Liu, Yunxin, Zhang, Ya-Qin, Sifakis, Joseph, Ouyang, Ye
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.20608
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Table of Contents:
  • 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.