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2026-07-13
OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
Agastya RajVenkata Virajit GarbhapuHiroyuki IshiharaPeyman PahlevanzadehHideki NishizawaTakeo SasaiDaniel C. KilperMarco Ruffini
文献摘要
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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