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arXiv · 2607.12152

OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model

Agastya Raj·Venkata Virajit Garbhapu·Hiroyuki Ishihara·Peyman Pahlevanzadeh·Hideki Nishizawa·Takeo Sasai·Daniel C. Kilper·Marco Ruffini
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Abstract

We present a DLM-anchored hybrid physics/ML framework for brownfield optical links that accurately predicts per-channel power, OSNR, and GSNR. Calibrating span/ILA boundaries via DLM yields OSNR/GSNR errors of no more than 0.39/0.43 dB across single-channel and OSaaS provisioning.

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Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara, Peyman Pahlevanzadeh, Hideki Nishizawa, Takeo Sasai, Daniel C. Kilper, Marco Ruffini. 2026-07-13. OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model. https://doi.org/10.1364/ofc.2026.m4a.5

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