A Robust Reference Optical Spectrum Based in-Band OSNR Monitoring Method Suitable for Flexible Optical Networks

Abstract

The in-band OSNR monitoring methods based on the noise-free reference optical spectrum (ROS) have attracted much attention in the field of optical performance monitoring because they are cost-effective and insensitive to chromatic dispersion and polarization mode dispersion. In this paper, we propose a new ROS based in-band OSNR monitoring method that is robust to the distortions due to non-ideal modulation, the variations of the in-line EDFA gain and the number of filtering elements traversed by the signal. Moreover, this method supports using the standard ROS retrieved by the existing machinelearning technique based optical spectrum identification technique, and thus can remove the need to measure the ROS near the transmitter, which is hard to perform, especially in flexible optical networks. These merits make the method more robust and convenient to use in practice. Extensive numerical simulations are presented to demonstrate the merits of the proposed method with respect to the existing ROS based methods.

Multi-Task Learning Convolutional Neural Network and Optical Spectrums Enabled Optical Performance Monitoring

“…Therefore, an ideal optical spectrum can be used for distortion analysis of several different signals and this technique is somewhat modulation format independent [16], [25]. The OSNR monitoring method based on reference optical spectrum [18]- [20] considers signals with the same spectrum as a class and uses the corresponding ideal spectrum as a reference spectrum without recognizing which specific OS type it is.…”

“…Citation information: DOI 10.1109/JPHOT.2022.3153638, IEEE Photonics Journal 2 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < large-scale data set [17]. In [18]- [20], the reference optical spectrum method with the help of prior transmission information realizes in-band OSNR monitoring. Due to the lack of intelligence, it is not applicable to EON with dynamically variable transmission information.…”