This paper attempts to reconstruct and optimize a DWDM system by avoiding distortions
such as Four-Wave Mixing (FWM) and high signal distortion due Inter-Channel Interference …

An intelligent bit-error-rate (BER) analyzer is proposed to implement quality factor estimation
using an artificial neural network based deep learning technique; which offers a great …

Growth made over the decades in dense wavelength division multiplexing (DWDM) systems
has been providing an opportunity to enhance channel capacity, wider bandwidth, and …

The dynamism envisioned in future high-capacity gridless optical networks requires facing
several challenges in distortion mitigation, such as the mitigation of interchannel …

Next-generation optical communication systems demand more capacity, a large number of
users, and high data rates this is solved by using dense wavelength division multiplexing …

Complexity and size of modern optic-fiber networks start to challenge the traditional methods
of managing them and yet majority of telecommunication companies still report rapid growth …

Wavelength Division Multiplexing (WDM) is the key technology in ultra-high capacity links
that form the backbone of the internet. Hundreds or more data channels each at a different …

We propose an ensemble of deep learning models to estimate the level of interchannel
interference in a 3× 32-Gbaud 16-QAM gridless Nyquist-WDM system. Results showed …

A recent global crisis associated with COVID-19 has encouraged millions of people to work
from home, thus causing a drastic increase in overall network traffic, data-rate requirements …

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