Self-Healing 6G Networks-in-Network for Resilient Wireless Communication

2026-08-05

AI Summary

This work addresses the vulnerability of 6G networks employing multiple autonomous subnetworks sharing spectrum, which are prone to communication disruptions caused by failures or malicious interference, necessitating efficient self-healing mechanisms. The paper proposes a novel Nested-in-Network (NiN) architecture that, for the first time, integrates spectrum monitoring and dynamic resource management into a unified control loop, enabling end-to-end autonomous response from anomaly detection to frequency reconfiguration. By incorporating continuous spectrum scanning, lightweight anomaly detection algorithms, and automated subnetwork reconfiguration, the proposed architecture significantly enhances system resilience and recovery speed under interference, as demonstrated in real-world experiments.

Abstract

Future 6G networks must manage increasingly dynamic radio environments in which multiple autonomous sub-networks (SNs) share frequency resources and adapt to changing operating conditions. In such scenarios, interference from faulty devices or intentional jamming can disrupt ongoing communications, making rapid and autonomous network adaptation essential. This demonstration presents a self-healing networks-in-network (NiN) architecture that closely integrates the detection of spectrum anomalies with dynamic spectrum management. A spectrum scanner continuously monitors the frequency spectrum and forwards detected anomalies to the DSM, which automatically identifies suitable frequency resources and reconfigures the affected SN. During the live demonstration, participants can initiate controlled disruptions and observe the entire adaptation process in real time, from anomaly detection to autonomous frequency reallocation and network recovery. The demonstrator illustrates how integrating spectrum monitoring and resource management into a single control loop can improve the resilience of future NiN implementations and demonstrates a practical approach to autonomous, spectrum-aware networking.

Problem

• 6G networks
• self-healing
• spectrum interference
• network resilience
• autonomous adaptation

Innovation

• self-healing
• networks-in-network
• dynamic spectrum management
• spectrum anomaly detection
• autonomous networking