基于机器学习的 DWDM 系统裕度估计实验演示
网络与互联网体系结构
2023-02-17 v1 信号处理
摘要
在无需网络详细信息的情况下，估计了部分负载与全负载 DWDM 系统间的 SNR 裕度。该 ML 模型在仿真数据上训练，在实验数据上以 0.16 dB 的 RMSE 实现准确预测。
引用
@article{arxiv.2302.08275,
title = {Experimental Demonstration of ML-Based DWDM System Margin Estimation},
author = {Jasper Müller and Frank Slyne and Kaida Kaeval and Sebastian Troia and Tobias Fehenberger and Jörg-Peter Elbers and Daniel C. Kilper and Marco Ruffini and Carmen Mas-Machuca},
journal= {arXiv preprint arXiv:2302.08275},
year = {2023}
}
备注
This work has been partially funded by the German Federal Ministry of Education and Research in the CELTIC-NEXT project AI-NET-PROTECT (#16KIS1279K) and in the programme of "Souver\"an. Digital. Vernetzt." joint project 6G-life (#16KISK002). Work was also funded by Science Foundation Ireland projects OpenIreland (18/RI/5721) and 13/RC/2077 p2