Experimental Study of Deep Neural Network Equalizers Performance in Optical Links
arXiv:2106.13133
Abstract
We propose a convolutional-recurrent channel equalizer and experimentally demonstrate 1dB Q-factor improvement both in single-channel and 96 x WDM, DP-16QAM transmission over 450km of TWC fiber. The new equalizer outperforms previous NN-based approaches and a 3-steps-per-span DBP.
Optical Fiber Communication Conference and Exhibition (OFC) 2021 - Oral Presentation