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Remote Real-Time Optical Layers Performance Monitoring Using a Modern FPMT Technique Integrated with an EDFA Optical Amplifier
Faculty
Engineering
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Azhar Ahmed Hamdy Abdelsatar
Staff Zu Site
Abstract In Staff Site
Journal:
Electronics MDPI
Volume:
Keywords :
Remote Real-Time Optical Layers Performance Monitoring Using
Abstract:
Fiber performance monitoring using modern online technologies in the next generation of intelligent optical networks allows for identifying the source of the degeneration and putting in protective steps to increase remote optical network stability & reliability. In this paper, the performance of the fiber performance monitoring tool (FPMT) technique was improved by integrating it with optical amplifier boards. In this regard, the improved technique detects optical layer events and all fiber soft and hard failures at the online remote rather than disrupting the data flow with a measurement accuracy for defect location of up to ~99.9%, small tolerance of up to ~1 m, the longest distance to detecting optical line defects of up to ~300km, and enhanced power budget for the system with optimum insertion-loss of up to ~0.0 dB. The proposed integration method provides better results with an excellent and efficient solution at fault location measurement & detection in real-time with good financial implications of the technique. The competitiveness of the improved technique over the actual optical networks has been successfully confirmed through application to Huawei labs infrastructure nodes and displayed experimental simulation results.
Author Related Publications
Azhar Ahmed Hamdy Abdelsatar, "Performance Study For Color Filter Array Demosaicking Methods", IEEE conference, 2007
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Azhar Ahmed Hamdy Abdelsatar, "Unsupervised Patterned Fabric Defect Detection using Texture Filtering and K-Means clustering", IEEE conference, 2017
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Azhar Ahmed Hamdy Abdelsatar, "Patterned Fabric Defect Detection System Using Near Infrared Imaging", IEEE conference, 2017
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Azhar Ahmed Hamdy Abdelsatar, "fully automated approach for patterned fabric defect detection", Egypt-Japan university for science and technology, 2016
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Azhar Ahmed Hamdy Abdelsatar, "Augmented doppler filter bank based approach for enhanced targets detection", Wydawnictwo SIGMA, 2023
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