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Optical Performance Monitoring of Multiple Parameters in Future Optical Networks

Journal of Lightwave Technology, 2020
Optical performance monitoring (OPM) is an important tool to facilitate the management of future optical fiber communication networks. OPM measures the states of the physical layer and provides feedback to the network controller for performing tasks such
Dawei Wang   +6 more
semanticscholar   +1 more source

High-speed in-band multiparameter optical performance monitoring using normalized autocorrelation function

SPIE/COS Photonics Asia
This paper uses an in-band optical performance monitoring (OPM) method based on autocorrelation, offering high sensitivity and multi-damage monitoring.
Chenyu Peng   +6 more
semanticscholar   +1 more source

Toward Universal Optical Performance Monitoring for Intelligent Optical Fiber Communication Networks

IEEE Communications Magazine, 2020
Optical performance monitoring (OPM) plays an essential role in the intelligent optical fiber communication networks, which perform dynamic network planning and service deployment based on the knowledge of the real-time conditions of the optical layer ...
Dawei Wang, Qi Sui, Zhaohui Li
semanticscholar   +1 more source

Optical Labels Enabled Optical Network Performance Monitoring

Optoelectronics Global Conference, 2022
Optical performance monitoring (OPM) technology, especially the optical power and OSNR of each WDM channel, are of great importance and significance that need to be performed to ensure stable and efficient operation and maintenance of network itself.
Tao Yang
semanticscholar   +1 more source

Effect of bandwidth of direct detection receiver on multiparameter optical performance monitoring

SPIE/COS Photonics Asia, 2020
Our proposed optical performance monitoring (OPM) technique, based on the multi-task learning, is able to realize modulation format identification (MFI), baud rate identification (BRI), chromatic dispersion identification (CDI), and optical signal-to ...
Huaijian Luo   +3 more
semanticscholar   +1 more source

Optical performance monitoring of mode division multiplexing signal based on multitask convolutional neural network

Other Conferences
Mode Division Multiplexing (MDM) optical fiber communication technology enhances bandwidth utilization and communication capacity to address the increasing demand for high-capacity data transmission in the era of rapid network traffic growth.
Ting He   +4 more
semanticscholar   +1 more source

Convolutional neural network-based optical performance monitoring for optical transport networks

IEEE\/OSA Journal of Optical Communications and Networking, 2018
To address the open and diverse situation of future optical networks, it is necessary to find a methodology to accurately estimate the value of a target quantity in an optical performance monitor (OPM) depending on the high-level monitoring objectives ...
T. Tanimura   +4 more
semanticscholar   +1 more source

Machine Learning-Assisted Optical Performance Monitoring in Fiber-Optic Networks

Scalable Uncertainty Management, 2018
We review machine learning (ML)-based optical performance monitoring (OPM) techniques in optical communications. Recent applications of ML-assisted OPM in different aspects of fiber-optic networking including cognitive fault detection and management ...
F. Khan, Qirui Fan, Chao Lu, A. Lau
semanticscholar   +1 more source

Research on coherent optical communication performance monitoring and damage compensation technology based on machine learning

International Conference on Signal Processing and Communication Security
As optical fiber communication technology develops towards high speed, large capacity and long distance, the impact of optical fiber nonlinearity and other damages in optical fiber communication systems is becoming more and more serious.
Hao Liu, Qiuting He
semanticscholar   +1 more source

Predictive Analysis of Future Optical Networks: An AI approach for OPM in Next Generation Optical Networks

Frontiers in Optics + Laser Science 2024 (FiO, LS)
Optical Performance Monitoring (OPM) for Next Generation Optical Networks is explored using Machine Learning. Accuracy of 99% is reported with the proposed approach which outperforms traditional OPM methods in terms of accuracy and computational ...
Jolly Parikh   +3 more
semanticscholar   +1 more source

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