High dynamic range 100 Gbit/s PAM4 PON with SOA preamplifier using Gated Recurrent Neural Network equaliser
Townsend, Paul D.
Institute of Electrical and Electronics Engineers (IEEE)
We investigate parallel multi-symbol equalisation scheme for 100Gb/s/λ PAM4 using Gated Recurrent Neural Networks and exploit SOA preamplifier gain suppression to achieve 27 dB system dynamic range below hard-decision FEC BER limit of 3.8 × 10−3 using a receiver with two gain settings.
Gated Recurrent Neural Networks
Murphy, S., Jamali, F., Townsend, P. D. and Antony, C. (2022) 'High dynamic range 100 Gbit/s PAM4 PON with SOA preamplifier using Gated Recurrent Neural Network equaliser', in Leuthold, J., Harder, C., Offrein, B. and Limberger, H. (eds.) European Conference on Optical Communication (ECOC) 2022, Technical Digest Series (Optica Publishing Group, 2022), paper Th1C.6.
© 2022, the Authors. Published by IEEE. ECOC 2022 © Optica Publishing Group 2022.