Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources [* Cross-Reference *]

Version 1.0
Julian Jimenez Agudelo; Paola Andrea Soto Arenas; Ayat Zaki-Hindi; Jean-Sébastien Sottet; Sébastien Faye; Nina Slamnik-Kriještorac; Johann M. Márquez-Barja; Miguel Camelo, 2026, "Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.HYIVIB, LIST Open Repository, V1
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Description
Network Digital Twins (NDTs) enable safe what-if analysis for 6G cloud–edge infrastructures, but adoption is often limited by fragmented workflows from telemetry to validation. We present a data-driven NDT framework that extends 6GTWIN with a scalable pipeline for cloud–edge telemetry aggregation and semantic alignment into unified data models. Our contributions include: (i) scalable cloud–edge telemetry collection, (ii) regime-aware feature engineering capturing the network’s scaling behavior, and (iii) a validation methodology based on Sign Agreement and Directional Sensitivity. Evaluated on a Kubernetes-managed cluster, the framework extrapolates performance to unseen high-load regimes. Results show both Deep Neural Network (DNN) and XGBoost achieve high regression accuracy (R2 > 0.99), while the XGBoost model delivers superior directional reliability (Sa > 0.90), making the NDT a trustworthy tool for proactive resource scaling in out-of-distribution scenarios. (2026-01-01)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.20309603 for the original and latest version of the publication*** (2026-07-01)
Subject Computer and Information Science; Physics
Keyword Workflow, Scalability, Pipeline (software), Reliability (semiconductor), Counterfactual thinking, Key (lock), Resource (disambiguation), Enhanced Data Rates for GSM Evolution, Feature (linguistics)
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