Zero-touch network and Service Management (ZSM) is a fundamental enabler of 6G networks, aiming to fully automate network operations without human intervention. This automation relies on Artificial Intelligence (AI) for tasks such as anomaly detection and resolution. However, AI-driven decisions can be opaque, raising concerns about trust and explainability. In critical networking scenarios, operators and users require explanations into why certain decisions are made and how corrective actions are applied. To address this challenge, we propose an innovative framework integrating AI, eXplainable AI (XAI) and Large Language Models (LLMs) into 6G network management. Our approach enhances AI-driven anomaly detection by adding interpretability, providing human-understandable explanations and actionable steps for anomaly resolution.
Trustworthy zero-touch network and service management in 6G networks with XAI and LLMs
EuCNC & 6G Summit 2025, European Conference on Networks and Communications (EuCNC) and the 6G Summit, 3-6 June 2025, Poznan, Poland
Type:
Poster / Demo
City:
Poznan
Date:
2025-06-03
Department:
Communication systems
Eurecom Ref:
8354
Copyright:
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PERMALINK : https://www.eurecom.fr/publication/8354