학술논문

Successive Quantization of the Neural Network Equalizers in Optical Fiber Communication
Document Type
Conference
Source
2023 Opto-Electronics and Communications Conference (OECC) Opto-Electronics and Communications Conference (OECC), 2023. :1-6 Jul, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Q-factor
Optical fibers
Quantization (signal)
Equalizers
Artificial neural networks
Optical fiber networks
Complexity theory
Optical fiber communication
nonlinearity mitigation
neural network equalization
quantization
Language
ISSN
2166-8892
Abstract
A pragmatic successive quantization approach is applied to a neural network equalizer in a 16-QAM dual-polarization fiber transmission experiment over a 9x50km TWC fiber link. Quantization at 5 bits reduces the complexity by 85%, with a negligible Q-factor penalty.