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Link-Adaptive Digital Twin for Optical Network Modeling

A link-adaptive digital twin (LA-DT) is proposed for hybrid-amplified ultra-wideband optical links, addressing accurate modeling and GSNR estimation. The method decomposes the task into three power predictions (ASE, NLI, signal) and uses a neural architecture with linear modulation layers for cross-scenario generalization, improving accuracy and speed.

Why it matters

Physical-layer digital twins are important for optimizing capacity of large communication networks.

Relevant to DT products

Original headline
Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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