A framework for trustworthy 6G network digital twins uses scalable telemetry aggregation and regime-aware features with DNN and XGBoost models to achieve R² > 0.99 accuracy and Sa > 0.90 directional reliability for extrapolating performance to unseen high-load regimes.
D1.3 – Frameworks for Zero-Touch Service and Network Management and the Orchestration of its AI-based NF and NS
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
A framework for trustworthy 6G network digital twins uses scalable telemetry aggregation and regime-aware features with DNN and XGBoost models to achieve R² > 0.99 accuracy and Sa > 0.90 directional reliability for extrapolating performance to unseen high-load regimes.