Abstract
For the first time, recurrent and feedforward neural network-based equalizers for nonlinearity compensation are implemented in an FPGA, with a level of complexity comparable to that of a dispersion equalizer. We demonstrate that the NN-based equalizers can outperform a 1-step-per-span DBP.
© 2022 The Author(s)
PDF ArticleMore Like This
Fan Zhang, Xiansong Fang, and Xinyu Chen
M1H.1 Optical Fiber Communication Conference (OFC) 2022
Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
M3H.2 Optical Fiber Communication Conference (OFC) 2021
Pedro J. Freire, Bernhard Spinnler, Daniel Abode, Jaroslaw E. Prilepsky, Abdallah Ali, Nelson Costa, Wolfgang Schairer, Antonio Napoli, Andrew D. Ellis, and Sergei K. Turitsyn
Th2A.35 Optical Fiber Communication Conference (OFC) 2022