five

Research data supporting "Experimental Investigation of Physics- and ML-based QoT Estimation for WDM Systems"

收藏
DataCite Commons2024-12-17 更新2024-08-25 收录
下载链接:
https://www.repository.cam.ac.uk/handle/1810/349576
下载链接
链接失效反馈
官方服务:
资源简介:
The Excel file contains four sheets and each of them associated with the figures 2 to 5 in the paper. The processed data was obtained by analising the captured 400 data each contains seven channel power launch into the fibre and corresponding SNR from the experimental setup described in the paper. Sheet for Fig.2 contains number of training data and corresponding root mean square error (RMSE) for channel 4 which is calculated from 50 test data for three methods based on physics, neural network (NN) and Gaussian process regression (GPR). Sheet for Fig.3 includes the data for RMSE [dB] of all seven channels for the three methods where number of training data for physics based method is 50 and ML-based method is 250. Maximum estimation error data for all seven channel for three methods is in the sheet for Fig.4. Finally, the sheet for Fig.5 contains back-to-back measured SNRs of seven channel and those estimated from physics-based method after 1000 km transmission.
提供机构:
Apollo - University of Cambridge Repository
创建时间:
2023-05-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作