[WP-B] Poster Session 2

[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 (Japan), 2. National Institute of Information and Communications Technology (NICT) (Japan))

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.