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Explainable AI-Empowered Post-Disaster Network Outage Detection and Recovery in O-RAN-Enabled 6G Networks

CORDIS · observation · Publication date unknown

interoperability. This integration will enable rapid detection of network outages and dynamic recovery, ensuring connectivity in disaster scenarios. Additionally, the project will utilize explainable artificial intelligence (XAI) and machine learning (ML) algorithms to detect outages in an explainable and reliable manner. Data collected from O-RAN interfaces and packet core will be used to train these AI models, enabling rapid response to network disruptions. Upon detection of a network outage, X-AIDRON-6G will optimally deploy UAVs and utilize existing satellites to restore connectivity. These UAVs will act as temporary access points, while satellites provide high-speed and capacity midhaul/backhaul to the ground stations through THz links. The combination of AI-driven outage detection and THz-enabled NTNs will ensure fast, scalable, and cost-effective network recovery. Moreover, zero-touch network automation vision of X-AIDRON-6G will enable rapid recovery in dynamic network conditions. X-AIDRON-6G is highly relevant to the objectives of 6G, contributing to more resilient, autonomo

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recordType
award
status
SIGNED
region
EU
value
165205.2
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.