OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
arXiv:2607.12152 · doi:10.1364/OFC.2026.M4A.5
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.
3 pages, 4 figures. Published in Optical Fiber Communication Conference (OFC) 2026