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Conferences > OFC > 2024 > W4I > W4I.4

Digital Twin-based Insertion Loss Estimator for Anomalous Loss Localization and Network Equalization Enhancement

Xin Yang, Chenyu Sun, Gabriel Charlet, Massimo Tornatore, and Yvan Pointurier

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Abstract

We propose and experimentally validate a novel accurate digital-twin-based span-level insertion losses estimator. This enables detection and localization of anomalous insertion losses; when combined with equalization, 1.3dB SNR margin improvement is demonstrated despite inaccurate physical layer knowledge.

© 2024 The Author(s)

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