Optical fiber communication networks play an important role in the global telecommunication
network. However, nonlinear effects in the optical fiber and transceiver noise greatly limit the …

An approach for simultaneous modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based …

The power consumption of telecommunication equipment has been identified as a relevant
contributor to global energy consumption. In fact, new-generation optical transponders …

Optical networks have historically been overprovisioned for physical-layer conditions and
capacity and, as such, operate uninterrupted over several years. By reducing system …

Aiming to solve the problem of the distinction of scrambled linear block codes, a method for
identifying the scrambling types of linear block codes by combining correlation features and …

Abstract This paper uses Machine Learning (ML) to detect PSK (Phase-shift keying) signals
using a supervised learning model based on K-Nearest Neighbor (K-NN) algorithm. The …

In this paper, and for the first time in literature, optical performance monitoring (OPM) of
super-channel optical networks is considered. In particular, we propose a novel machine …

Direct Detection (DD) optical performance monitoring (OPM), Modulation Format
Identification (MFI), and Baud Rate Identification (BRI) are envisioned as crucial components …

In order to activate high-data-rate connectivity, super-channel transmission strategy is
becoming a suitable solution. Optical Software Defined Networking (OSDN) architecture …

In this paper, we design a parallel-twin convolutional neural network (PT-CNN) deep
learning model and use the signal constellation diagram to realize the identification of six …