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 …
Memory-aware end-to-end learning of channel distortions in optical coherent communications
We implement a new variant of the end-to-end learning approach for the performance
improvement of an optical coherent-detection communication system. The proposed solution …
improvement of an optical coherent-detection communication system. The proposed solution …
[HTML][HTML] Experimental demonstration of transport over fiber using 5G NR with performance enhancement using DPD
MU Hadi - Optics Communications, 2023 - Elsevier
The article proposes an experimental implementation with a performance comparison of 5G
new radio (NR) multiband waveforms utilizing analog radio over fiber (A-RoF) link equipped …
new radio (NR) multiband waveforms utilizing analog radio over fiber (A-RoF) link equipped …
Deep learning methods for nonlinearity mitigation in coherent fiber-optic communication links
V Neskorniuk - 2022 - publications.aston.ac.uk
Nowadays, the demand for telecommunication services is rapidly growing. To meet this
everincreasing connectivity demand telecommunication industry needs to maintain the …
everincreasing connectivity demand telecommunication industry needs to maintain the …
PULSE SHAPING OPTIMIZATION VIA MACHINE LEARNING FOR OPTICAL FIBER TRANSMISSION
T FONTANA - thesis.unipd.it
In this work, we propose a non-conventional framework based on machine learning (ML)
able to provide equalization capabilities in a communication channel with impairments …
able to provide equalization capabilities in a communication channel with impairments …