Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
Author:
Affiliation:
1. Aston Institute of Photonic Technologies, Aston University, Birmingham, U.K.
2. Infinera R&D, Munich, Germany
3. Infinera Unipessoal, Carnaxide, Portugal
4. AMD Research, Logic Drive, Citywest Business Campus, Dublin, Ireland
Funder
European Commission
H2020 B5G-OPEN Project
EPSRC Project TRANSNET
Leverhulme Trust
EU Horizon 2020 program
Marie Skłodowska-Curie
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/50/10164793/10113728.pdf?arnumber=10113728
Reference74 articles.
1. System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm
2. Approximating activation functions;timmons,2020
3. Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM
4. FPGA implementation for the sigmoid with piecewise linear fitting method based on curvature analysis;li;Electronics,2022
5. Demonstration of photonic neural network for fiber nonlinearity compensation in long-haul transmission systems
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