Nonlinear Fourier transform for optical data processing and transmission: advances and perspectives
Fiber-optic communication systems are nowadays facing serious challenges due to the fast
growing demand on capacity from various new applications and services. It is now well …
growing demand on capacity from various new applications and services. It is now well …
The role of parallelism in the evolution of optical fiber communication systems
In order to overcome the capacity limitations of current lightwave systems based on the
single-mode optical fiber, massively parallel transmission in the spatial domain [space …
single-mode optical fiber, massively parallel transmission in the spatial domain [space …
Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
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 …
fiber optic transmission systems. Nonlinear impairments are determined by the signal …
Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Overview of high-speed TDM-PON beyond 50 Gbps per wavelength using digital signal processing [Invited Tutorial]
The recent evolution of passive optical network standards and related research activities for
physical layer solutions that achieve bit rates well above 10 Gbps per wavelength (λ) is …
physical layer solutions that achieve bit rates well above 10 Gbps per wavelength (λ) is …
Performance and complexity analysis of bi-directional recurrent neural network models versus volterra nonlinear equalizers in digital coherent systems
We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation
Nonlinearity mitigation in optical fiber networks is typically handled by electronic Digital
Signal Processing (DSP) chips. Such DSP chips are costly, power-hungry and can introduce …
Signal Processing (DSP) chips. Such DSP chips are costly, power-hungry and can introduce …
Single-step perturbation-based nonlinearity compensation of intra-and inter-subcarrier nonlinear interference
We experimentally demonstrate a decision-directed, intra-and inter-subcarrier nonlinearity
mitigation scheme based on first order perturbation. We achieve 0.9 dB Q 2-factor …
mitigation scheme based on first order perturbation. We achieve 0.9 dB Q 2-factor …
Transfer learning for neural networks-based equalizers in coherent optical systems
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 …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
70.4 Tb/s capacity over 7,600 km in C+ L band using coded modulation with hybrid constellation sha** and nonlinearity compensation
Abstract We demonstrate 70.4 Tb/s transmission over 7,600 km with C+ L band EDFAs using
coded modulation with hybrid probabilistic and geometrical constellation sha**. We …
coded modulation with hybrid probabilistic and geometrical constellation sha**. We …