Deep Reservoir Computing for 100 Gbaud PAM6 IM/DD Transmission Impairment Mitigation
2023 Optical Fiber Communications Conference and Exhibition (OFC 2023): Proceedings
2023
Mengyao Han,
Muguang Wang,
Yuchuan Fan,
Toms Salgals,
Hadrien Louchet,
Richard Schatz,
Markus Gruen,
Fabio Pittala,
Benjamin Kruger,
Thomas Dippon,
Lu Zhang,
Xianbin Yu,
Sandis Spolītis,
Vjačeslavs Bobrovs,
Sergei Popov,
Xiaodan Pang,
Oskars Ozoliņš
We experimentally evaluate a deep Reservoir Computing (RC)-based post-equalization for 100 Gbaud PAM6 IM/DD transmissions. It achieves ~1 dB higher sensitivity than DFE, and ~50% implementation complexity reduction compared with the conventional RC configuration.
Atslēgas vārdi
Optical fibers, Optical fiber sensors, Sensitivity, Optical interconnections, Reservoirs, Transceivers, Hybrid power systems
DOI
10.23919/OFC49934.2023.10116807
Hipersaite
https://ieeexplore.ieee.org/document/10116807
Han, M., Wang, M., Fan, Y., Salgals, T., Louchet, H., Schatz, R., Gruen, M., Pittala, F., Kruger, B., Dippon, T., Zhang, L., Yu, X., Spolītis, S., Bobrovs, V., Popov, S., Pang, X., Ozoliņš, O. Deep Reservoir Computing for 100 Gbaud PAM6 IM/DD Transmission Impairment Mitigation. No: 2023 Optical Fiber Communications Conference and Exhibition (OFC 2023): Proceedings, Amerikas savienotās valstis, San Diego, 5.-9. maijs, 2023. Piscataway: IEEE, 2023, 1293.-1295.lpp. ISBN 979-8-3503-1229-4. e-ISBN 978-1-957171-18-0. Pieejams: doi:10.23919/OFC49934.2023.10116807
Publikācijas valoda
English (en)