Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems (Th2A.35)
Presenter: Pedro Jorge Freire de Carvalho Souza, Aston University
We introduce the domain adaptation and randomization approach for calibrating neural network-based equalizers for real transmissions, using synthetic data. The approach renders up to 99% training process reduction, which we demonstrate in three experimental setups.
Authors:Pedro Jorge Freire de Carvalho Souza, Aston University / Bernhard Spinnler, Infinera / Daniel Abode, Aston University / Jaroslaw E. Prilepsky, Aston University / Nelson Costa, Infinera / Abdallah Ali, Aston University / Wolfgang Schairer, Infinera / Antonio Napoli, Infinera / Andrew Ellis, Aston University / Sergei K. Turitsyn, Aston University