Soft-Demapping for Short Reach Optical Communication: A Comparison of Deep Neural Networks and Volterra Series

In optical fiber communication, optical and electrical components introduce nonlinearities, which require effective compensation to attain highest data rates. In particular, in short reach communication, components are the dominant source of nonlinearities. Volterra series are a popular countermeasu...

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Bibliographic Details
Published in:Journal of lightwave technology 2021-05, Vol.39 (10), p.3095-3105
Main Authors: Schadler, Maximilian, Bocherer, Georg, Pachnicke, Stephan
Format: Article
Language:English
Subjects:
Adaptive optics
Artificial neural networks
Coherent optical communication
Communication
Complexity
deep neural networks
Electric components
Equalization
Equalizers
Error correction
Forward error correction
Kernel
machine learning
Neural networks
nonlinear components equalizer
Nonlinearity
Optical communication
Optical fibers
Optical polarization
Signal to noise ratio
soft demapping
Training
Volterra series
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Summary:In optical fiber communication, optical and electrical components introduce nonlinearities, which require effective compensation to attain highest data rates. In particular, in short reach communication, components are the dominant source of nonlinearities. Volterra series are a popular countermeasure for receiver-side equalization of nonlinear component impairments and their memory effects. However, Volterra equalizer architectures are generally very complex. This article investigates soft deep neural network (DNN) architectures as an alternative for nonlinear equalization and soft-decision demapping. On coherent 92GBd dual polarization 64QAM back-to-back measurements performance and complexity is experimentally evaluated. The proposed bit-wise soft DNN equalizer (SDNNE) is compared to a 5th order Volterra equalizer at a 15% overhead forward error correction (FEC) limit. At equal performance, the computational complexity is reduced by 65%. At equal complexity, the performance is improved by 0.35 dB gain in optical signal-to-noise-ratio (OSNR).
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2021.3056869