Search Results - "Ayassi, Reda"

Survey on the Use of Machine Learning for Quality of Transmission Estimation in Optical Transport Networks by Ayassi, Reda, Triki, Ahmed, Crespi, Noel, Minerva, Roberto, Laye, Maxime

“…Estimating the Quality of Transmission (QoT) of the optical signal from source to destination nodes is the cornerstone of design engineering and service…”
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Machine learning models for alarm classification and failure localization in optical transport networks by Babbar, Jatin, Triki, Ahmed, Ayassi, Reda, Laye, Maxime

“…The increase in computing capacity and the huge amount of available data have significantly accelerated the use of artificial intelligence and machine learning…”
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Field Trial Demonstration of Digital Twin Assisted Network Optimization on a Production Network by Ayassi, Reda, Yang, Xin, Pointurier, Yvan, Charlet, Gabriel, Nguyen, Quoc Thai, El Harraz, Yassine

“…We demonstrate service performance -optimization using a digital twin in a live production network. We collect data from the network controller then feed it…”
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A Fully Connected Neural Network Approach to Mitigate Fiber Nonlinear Effects in 200G DP-16-QAM Transmission System by Catanese, Clara, Ayassi, Reda, Pincemin, Erwan, Jaouen, Yves

“…Fiber nonlinear effects in optical transmission are an important issue to be solved to ensure higher bit rate and denser spectral efficiency in metro/long-haul…”
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Field trial to assess bayesian optimization for improving QoT estimation by Ayassi, Reda, Triki, Ahmed, Le Guyader, Bertrand, Florian, Frank, Marcot, Thierry, Le Rouzic, Esther, Laye, Maxime, Minerva, Roberto, Crespi, Noel

“…A Bayesian optimization-based approach was investigated with data extracted from a live network as part of a field trial to retrieve hard-to-measure equipment…”
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An Overview on Machine Learning-Based Solutions to Improve Lightpath QoT Estimation by Ayassi, R., Triki, A., Laye, M., Crespi, N., Minerva, R., Catanese, C.

“…Estimating lightpath Quality of Transmission (QoT) is crucial in network design and service provisioning. Recent studies have turned to Machine Learning (ML)…”
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