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Reda Ayassi
Reda Ayassi
Research engineer - Huawei Technologies France
Verified email at telecom-sudparis.eu
Title
Cited by
Cited by
Year
Survey on the use of machine learning for quality of transmission estimation in optical transport networks
R Ayassi, A Triki, N Crespi, R Minerva, M Laye
Journal of Lightwave Technology 40 (17), 5803-5815, 2022
232022
An overview on machine learning-based solutions to improve lightpath QoT estimation
R Ayassi, A Triki, M Laye, N Crespi, R Minerva, C Catanese
2020 22nd International Conference on Transparent Optical Networks (ICTON), 1-4, 2020
172020
A fully connected neural network approach to mitigate fiber nonlinear effects in 200G DP-16-QAM transmission system
C Catanese, R Ayassi, E Pincemin, Y JaouŽn
2020 22nd International Conference on Transparent Optical Networks (ICTON), 1-4, 2020
152020
Machine learning models for alarm classification and failure localization in optical transport networks
J Babbar, A Triki, R Ayassi, M Laye
Journal of Optical Communications and Networking 14 (8), 621-628, 2022
112022
Bayesian optimization-based algorithm to improve the quality of transmission estimation
R Ayassi, A Triki, M Laye, E Le Rouzic, N Crespi, R Minerva
Photonic Networks and Devices, NeF2B. 3, 2021
112021
A Fully Connected Neural Network to Mitigate 200G DP-16-QAM Transmission System Impairments
C Catanese, R Ayassi, E Pincemin, Y JaouŽn
Signal Processing in Photonic Communications, SpTh3I. 1, 2020
32020
Field trial to assess Bayesian optimization for improving QoT estimation
R Ayassi, A Triki, B Le Guyader, F Frank, T Marcot, E Le Rouzic, M Laye, ...
49th European Conference on Optical Communications (ECOC 2023) 2023, 389-392, 2023
12023
Artificial intelligence techniques to improve quality of transmission estimation in optical networks
R Ayassi
Institut Polytechnique de Paris, 2023
2023
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