Leveraging ML-based QoT Tool Parameter Feeding for Accurate WDM Network Performance Prediction

Nathalie Morette,Ivan Fernandez de Jauregui Ruiz,Yvan Pointurier

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)（2021）

引用 4|浏览0

暂无评分

摘要

A novel technique to refine optical fiber network parameters for accurate performance estimation is presented. The technique exploits Raman and Kerr effects to improve new services' SNR estimation accuracy by 2dB based on experimental data. (C) 2021 The Author(s)

查看译文

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要