TY - GEN
T1 - Convolutional Neural Networks with Multiple Layers per Span for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems
AU - Sidelnikov, Oleg
AU - Redyuk, Alexey
AU - Sygletos, Stylianos
AU - Fedoruk, Mikhail
AU - Turitsyn, Sergei
PY - 2021/9/30
Y1 - 2021/9/30
N2 - Overcoming fiber nonlinearity is one of the most challenging tasks in optical fiber links and it is a major limiting factor for extending their capacity. Digital backward propagation (DBP) method can be used to mitigate nonlinear transmission impairments [1] , but its complexity prevents any real-time implementation in these systems. On the other hand, it has been recently shown that deep neural networks can provide a good approximation of DBP at lower computational cost [2]. In this work, we continue the investigation of the proposed deep convolutional neural network (DCNN) [3] for long-haul WDM transmission systems. We study the effect of the number of neural network layers on the efficiency of nonlinear distortion compensation.
AB - Overcoming fiber nonlinearity is one of the most challenging tasks in optical fiber links and it is a major limiting factor for extending their capacity. Digital backward propagation (DBP) method can be used to mitigate nonlinear transmission impairments [1] , but its complexity prevents any real-time implementation in these systems. On the other hand, it has been recently shown that deep neural networks can provide a good approximation of DBP at lower computational cost [2]. In this work, we continue the investigation of the proposed deep convolutional neural network (DCNN) [3] for long-haul WDM transmission systems. We study the effect of the number of neural network layers on the efficiency of nonlinear distortion compensation.
UR - http://www.scopus.com/inward/record.url?scp=85120433388&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/document/9542317
UR - https://opg.optica.org/abstract.cfm?uri=CLEO_Europe-2021-ci_p_6
U2 - 10.1109/CLEO/Europe-EQEC52157.2021.9542317
DO - 10.1109/CLEO/Europe-EQEC52157.2021.9542317
M3 - Conference publication
AN - SCOPUS:85166462853
T3 - Optics InfoBase Conference Papers
BT - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021
PB - The Optical Society
T2 - 2021 European Conference on Lasers and Electro-Optics, CLEO/Europe 2021
Y2 - 21 June 2021 through 25 June 2021
ER -