Machine learning techniques in optical networks: a systematic mapping study

G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

Machine learning-aided optical performance monitoring techniques: A review

DK Tizikara, J Serugunda, A Katumba - Frontiers in Communications …, 2022 - frontiersin.org
Future communication systems are faced with increased demand for high capacity, dynamic
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …

Performance investigation of modulation format identification in super-channel optical networks

WS Saif, AM Ragheb, B Nebendahl… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
The problem of automatic modulation format identification (MFI) is one of the main
challenges in adaptive optical systems. In this work, we investigate MFI in super-channel …

Transfer learning assisted convolutional neural networks for modulation format recognition in few-mode fibers

X Zhu, B Liu, X Zhu, J Ren, R Ullah, Y Mao, X Wu… - Optics …, 2021 - opg.optica.org
Few-mode fiber (FMF), a mode multiplex technique, has been a candidate to provide high
transmission capability in next-generation elastic optical networks (EONs), where the …

Optical performance monitoring via domain adversarial adaptation in few-mode fiber

X Zhu, B Liu, X Zhu, J Ren, R Ullah, Y Mao, X Wu… - Optics …, 2022 - Elsevier
We propose and demonstrate an optical performance monitoring (OPM) scheme in few-
mode fiber (FMF) based elastic optical networks (EONs). In this work, an adversarial transfer …

A cost-effective joint multi-parameter optical performance monitoring scheme for high baud rate mode division multiplexing system

F Yang, C Bai, Z Wang, T Chen, Y Zhang, P Li… - Optics …, 2024 - Elsevier
Abstract Inter-symbol interference (ISI), mode coupling (MC) and other impairments present
in high baud rate mode division multiplexing (MDM) systems significantly degrade the …

Mode-coupling induced crosstalk optimization in a graded-index six-mode fiber

T Zhao, F Wen, B Wu, B Xu, K Qiu - IEEE Photonics Journal, 2022 - ieeexplore.ieee.org
We thoughtfully investigate the feasibility of reducing the mode-coupling caused crosstalk by
optimizing the practical parameters of the few-mode fiber (FMF), based on the linear …

Machine learning based 64-QAM classification techniques for enhanced optical communication

P Kiran, HL Gururaj, F Flammini… - Optical and Quantum …, 2023 - Springer
Due to their greatly increased spectrum efficiency, high-order quadrature amplitude
modulation (QAM) formats are especially successful at increasing transmission capacity …

Accuracy enhanced microwave frequency measurement based on the machine learning technique

D Shi, G Li, Z Jia, J Wen, M Li, N Zhu, W Li - Optics Express, 2021 - opg.optica.org
We propose and experimentally demonstrate a microwave frequency measurement system
based on the photonic technique. An amplitude comparison function is constructed to …

Modulation Format Identification and OSNR Monitoring Based on Multi-Feature Fusion Network

J Li, J Ma, J Liu, J Lu, X Zeng, M Luo - Photonics, 2023 - mdpi.com
In this paper, we propose a multi-feature fusion network (MFF-Net) for a modulation format
identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring scheme. The …