We present a novel autoencoder-based learning of joint geometric and probabilistic
constellation shaping for coded-modulation systems. It can maximize either the mutual …

In this work, a perturbation-based neural network (P-NN) scheme with an embedded
bidirectional long short-term memory (biLSTM) layer is investigated to compensate for the …

Nonlinear impairments introduced by optical/electrical components in coherent transceivers
(CO-TRx) and optical fiber are the primary bottleneck for enhancing optical transmission …

The ever–growing data traffic demand has been driving the optical networks to constantly
evolve over the years. To efficiently meet this demand, the future optical communication …

Nowadays, the demand for telecommunication services is rapidly growing. To meet this
everincreasing connectivity demand telecommunication industry needs to maintain the …

In this paper, we propose a transceiver impairments compensation method employing deep
learning equalization for high baud-rate coherent optical systems. The method is based on a …