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 Yamamoto3, Moriya Nakamura1 (1Meiji Univ., 2Tokyo Metropolitan Univ., 3National Institute of Information and Communications Technology)
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.