Web: http://arxiv.org/abs/2204.11776

Sept. 16, 2022, 1:12 a.m. | Vincent Lauinger, Fred Buchali, Laurent Schmalen

cs.LG updates on arXiv.org arxiv.org

We investigate the potential of adaptive blind equalizers based on
variational inference for carrier recovery in optical communications. These
equalizers are based on a low-complexity approximation of maximum likelihood
channel estimation. We generalize the concept of variational autoencoder (VAE)
equalizers to higher order modulation formats encompassing probabilistic
constellation shaping (PCS), ubiquitous in optical communications, oversampling
at the receiver, and dual-polarization transmission. Besides black-box
equalizers based on convolutional neural networks, we propose a model-based
equalizer based on a linear butterfly filter …

arxiv communications variational autoencoders

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