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.
A comprehensive survey of net- work digital twin architecture, capabilities, challenges, and requirements for edge–cloud continuum
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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.