Presentation Information
[WP-B-20]Dispersion Compensation Characteristics of Equalizers Using Complex-Valued Reservoir Computing for Optical Fiber Transmission
○Shunya Uchide1, Soya Shimomura1, Takumi Yamamoto1, Tsuyoshi Yamada1, Yuta Ito1, Kai Ikuta1, Takahide Sakamoto2, Naokatsu Yamamoto2, Moriya Nakamura1 (1.Meiji University, 2.National Institute of Information and Communications Technology (NICT))
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems
We clarified that nonlinear equalizers using reservoir computing require an extremely large number of reservoir units under a high-dispersion condition. We propose using a separate linear equalizer for dispersion compensation and experimentally confirm its effectiveness.