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 …

Recent advance of emerging low-dimensional materials for vector soliton generation in fiber lasers

Y Qi, S Yang, J Wang, L Li, Z Bai, Y Wang, Z Lv - Materials Today Physics, 2022 - Elsevier
Ultrafast fiber lasers have significant applications in laser communications, ultra-precision
manufacturing, biomedical diagnostics, and so on. Among all the types of ultrashort pulses …

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 …

Intelligent optical performance monitor using multi-task learning based artificial neural network

Z Wan, Z Yu, L Shu, Y Zhao, H Zhang, K Xu - Optics express, 2019 - opg.optica.org
An intelligent optical performance monitor using multi-task learning based artificial neural
network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format …

Free space optic channel monitoring using machine learning

MA Esmail, WS Saif, AM Ragheb, SA Alshebeili - Optics Express, 2021 - opg.optica.org
Free space optic (FSO) is a type of optical communication where the signal is transmitted in
free space instead of fiber cables. Because of this, the signal is subject to different types of …

Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals

Y Cheng, S Fu, M Tang, D Liu - Optics express, 2019 - opg.optica.org
We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled
optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the …

Progresses of pilot tone based optical performance monitoring in coherent systems

Z Jiang, X Tang, S Wang, G Gao, D Jin… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Pilot tone (PT) is a low frequency, small intensity modulation applied to high speed optical
channel. Traditionally PT is used for channel identification and channel power monitoring. A …

Low complexity OSNR monitoring and modulation format identification based on binarized neural networks

Y Zhao, Z Yu, Z Wan, S Hu, L Shu… - Journal of Lightwave …, 2020 - opg.optica.org
We propose and experimentally demonstrate a method of optical signal-to-noise ratio
(OSNR) monitoring and modulation format identification (MFI) using a binarized …

Fast adaptation of multi-task meta-learning for optical performance monitoring

Y Zhang, P Zhou, Y Liu, J Wang, C Li, Y Lu - Optics Express, 2023 - opg.optica.org
An algorithm is proposed for few-shot-learning (FSL) jointing modulation format identification
(MFI) and optical signal-to-noise ratio (OSNR) estimation. The constellation diagrams of six …

Joint OSNR and CD monitoring in digital coherent receiver using long short-term memory neural network

C Wang, S Fu, H Wu, M Luo, X Li, M Tang, D Liu - Optics express, 2019 - opg.optica.org
To enable the high quality-of-service of reliable and dynamic optical networks, it is essential
to implement optical performance monitoring (OPM) for fiber optical transmission link. Being …