Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

no code implementations • 13 Dec 2021 • Vinod Bajaj, Mathieu Chagnon, Sander Wahls, Vahid Aref

We present a simple, efficient "direct learning" approach to train Volterra series-based digital pre-distortion filters using neural networks.

End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model

no code implementations • 26 Jul 2021 • Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref

We present a novel end-to-end autoencoder-based learning for coherent optical communications using a "parallelizable" perturbative channel model.