Improving the Bootstrap of Blind Equalizers with Variational Autoencoders

no code implementations • 16 Jan 2023 • Vincent Lauinger, Fred Buchali, Laurent Schmalen

We evaluate the start-up of blind equalizers at critical working points, analyze the advantages and obstacles of commonly-used algorithms, and demonstrate how the recently-proposed variational autoencoder (VAE) based equalizers can improve bootstrapping.

Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders

1 code implementation • 25 Apr 2022 • Vincent Lauinger, Fred Buchali, Laurent Schmalen

We investigate the potential of adaptive blind equalizers based on variational inference for carrier recovery in optical communications.

Variational Inference

On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats

no code implementations • 22 Sep 2021 • Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref, Mathieu Chagnon, Aymeric Arnould, Stenio Ranzini, Haik Mardoyan, Fred Buchali, Jeremie Renaudier

We report on theoretical and experimental investigations of the nonlinear tolerance of single carrier and digital multicarrier approaches with probabilistically shaped constellations.