Author

J. Sengendo

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Preprint Aug 2026

ST-NDT: A Topological Framework for Reducing Communication Overhead in Network Digital Twins

The proposed Sparse Topological Network Digital Twin (ST-NDT) framework consistently outperforms all four baseline frameworks across most of the edge monitoring budgets, and exploits the Hodge spectral structure of the graph to identify a minimal set of maximally informative sensor edges.

J. Sengendo, Fabrizio Granelli · 0 citations

Preprint Oct 2026

PCDT: A Predictive Cognitive Digital Twin Framework for Intelligent and Autonomous 6G Network Ecosystems

Future 6G networks are expected to operate as intelligent and autonomous ecosystems where monitoring, prediction, and control are integrated into continuous self-optimization loops. However, many digital-twin-based network management approaches still act mainly as synchronized replicas of the network. They observe the...

J. Sengendo, Andreas Kassler, Fabrizio Granelli · 0 citations

Preprint Aug 2026

Hybrid spatial-temporal graph neural network Powered NDTs:Towards Next-Gen Smart Infrastructure Twins

This work proposes a novel Hybrid Spatial-Temporal Graph Neural Network (HSTGNN) architecture that combines three complementary message-passing paradigms: local neighborhood aggregation, spectral filtering, and learnable attention-based weighting and achieves superior performance when benchmarked against other approach...

J. Sengendo, Fabrizio Granelli · 0 citations