Network Digital Untwinning: Towards Backward Optimization of Digital Twins
Network digital twins (NDTs) are transforming network management by offering precise virtual replicas of physical network systems. However, their reliance on diverse and sensitive data introduces significant challenges related to data management, regulatory compliance, and user privacy. In scenarios where selective data removal is necessary, such as device deactivation, network reconfiguration, or regulatory compliance, traditional approaches often fall short of preserving the integrity of the twin model. To address this gap, we introduce a network digital untwinning framework that enables the targeted removal of deprecated NDT contributions while maintaining model integrity. Our approach...
| Authors | Zifan Zhang, Dianwei Chen, Anjun Gao et al. |
|---|---|
| Primary category | cs.NI |
| Published | 30 April 2026 |
| Last updated at source | 30 April 2026 |
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