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Communication Dans Un Congrès Année : 2020

Dynamic power implementation with reinforcement learning for excursion-free amplified optical systems

Résumé

In optical networks, wavelength dependent gain in optical amplifiers, resulting in power excursion at their output, is still a challenge to address. Current proposed solutions are based on specific wavelength assignment, which can go against the wavelength continuity constraint in transparent optical networks. In this paper, we propose a dynamic power predistortion implementation using reinforcement learning to counter this restriction. We show that a dynamic adjustment of input optical power per each channel permits to reduce the mean power excursion at the output of the optical line system.
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Dates et versions

hal-04312757 , version 1 (28-11-2023)

Identifiants

  • HAL Id : hal-04312757 , version 1

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Maria José Freire Hermelo, Dipankar Sengupta, Antoine Lavignotte, Christine Tremblay, Catherine Lepers. Dynamic power implementation with reinforcement learning for excursion-free amplified optical systems. 24th International Conference on Optical Network Design and Modelling, May 2020, Barcelona (Spain), Spain. ⟨hal-04312757⟩
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