Practical implementation of digital signal processing for mitigation of transmission
impairments in optical communication systems requires reduction of the complexity of the …

Efficient nonlinearity compensation in fiber-optic communication systems is considered a
key element to go beyond the “capacity crunch”. One guiding principle for previous work on …

Nonlinearity compensation is considered as a key enabler to increase channel transmission
rates in the installed optical communication systems. Recently, data-driven approaches …

We introduce for the first time the utilization of Long short-term memory (LSTM) neural
network architectures for the compensation of fiber nonlinearities in digital coherent systems …

Optical nonlinearity impairments have been a major obstacle for high-speed, long-haul and
large-capacity optical transmission. In this paper, we propose a novel convolutional neural …

Fiber nonlinearity is one of the major limitations to the achievable capacity in long distance
fiber optic transmission systems. Nonlinear impairments are determined by the signal …

We propose a modification of the conventional perturbation-based approach of fiber
nonlinearity compensation that enables straight-forward implementation at the receiver and …

In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …

Fiber Kerr nonlinearity is a fundamental limitation to the achievable capacity of long-distance
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …

Fiber nonlinearities define the ultimate performance bound for optical communication
systems. Todays 100 Gb/s commercial products employ advanced digital signal processing …