Machine learning techniques for optical performance monitoring and modulation format identification: A survey

WS Saif, MA Esmail, AM Ragheb… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

Simultaneous optical performance monitoring and modulation format/bit-rate identification using principal component analysis

MC Tan, FN Khan, WH Al-Arashi, Y Zhou… - Journal of Optical …, 2014 - opg.optica.org
We propose a novel technique for simultaneous multi-impairment monitoring and
autonomous bit-rate and modulation format identification (BR-MFI) in next-generation …

Machine learning applications for short reach optical communication

Y Xie, Y Wang, S Kandeepan, K Wang - Photonics, 2022 - mdpi.com
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

Machine learning techniques for quality of transmission estimation in optical networks

Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …

Joint optical performance monitoring and modulation format/bit-rate identification by CNN-based multi-task learning

X Fan, Y Xie, F Ren, Y Zhang, X Huang… - IEEE Photonics …, 2018 - ieeexplore.ieee.org
A novel technique is proposed for joint multi-impairment optical performance monitoring
(OPM) with bit-rate and modulation format identification (BR-MFI) in next-generation …

An overview on application of machine learning techniques in optical networks

F Musumeci, C Rottondi, A Nag… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks

FN Khan, Y Zhou, APT Lau, C Lu - Optics express, 2012 - opg.optica.org
We propose a simple and cost-effective technique for modulation format identification (MFI)
in next-generation heterogeneous fiber-optic networks using an artificial neural network …

Machine-learning method for quality of transmission prediction of unestablished lightpaths

C Rottondi, L Barletta, A Giusti… - Journal of Optical …, 2018 - opg.optica.org
Predicting the quality of transmission (QoT) of a lightpath prior to its deployment is a step of
capital importance for an optimized design of optical networks. Due to the continuous …

Modulation format identification in coherent receivers using deep machine learning

FN Khan, K Zhong, WH Al-Arashi, C Yu… - IEEE Photonics …, 2016 - ieeexplore.ieee.org
We propose a novel technique for modulation format identification (MFI) in digital coherent
receivers by applying deep neural network (DNN) based pattern recognition on signals' …

Optical performance monitoring

AE Willner, Z Pan, C Yu - Optical fiber telecommunications VB, 2008 - Elsevier
Publisher Summary This chapter explores optical performance monitoring (OPM) and its
potential for enabling higher stability, reconfigurability, and flexibility in a self-managed …