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Published in: Photonic Network Communications 2/2020

27-08-2020 | Original Paper

Predictive autonomic transmission for low-cost low-margin metro optical networks

Authors: Marc Ruiz, Fabien Boitier, Behnam Shariati, Patricia Layec, Luis Velasco

Published in: Photonic Network Communications | Issue 2/2020

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Abstract

Low-cost low-margin implementation plays an essential role in upgrading optical metro networks required for future 5G ecosystem. In this regard, low-resolution analog-to-digital converters can be used in coherent optical transponders to reduce cost and power consumption. However, the resulting transmission systems become more sensitive to physical layer fluctuations like the events caused by fiber stressing. Such fluctuations might have a strong impact on the quality of transmission (QoT) of the signals. To guarantee robust operation, soft decision forward error correction (FEC) techniques are required to guarantee zero post-FEC bit error rate (BER) transmission, which could increase the power consumption of the receiver and thus operational expenses. In this paper, we aim at minimizing power consumption while keeping zero post-FEC errors by means of a predictive autonomic transmission agent (ATA) based on machine learning. We present a sophisticated ATA model that, taking advantage of real-time monitoring of state of polarization traces and the corresponding pre-FEC BER, predicts the right FEC configuration for short-term operation, thus requiring minimum power consumption. In addition, we propose a complementary long-term prediction of excessive pre-FEC BER to enable remote reconfiguration at the transmitter side through the network controller. A set of experimental measurements is used to train and validate the proposed ATA system. Exhaustive numerical analysis allows concluding that ATA based on artificial neural network predictors achieves the maximum QoT robustness with 80% power consumption reductions compared to static FEC configuration.
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Metadata
Title
Predictive autonomic transmission for low-cost low-margin metro optical networks
Authors
Marc Ruiz
Fabien Boitier
Behnam Shariati
Patricia Layec
Luis Velasco
Publication date
27-08-2020
Publisher
Springer US
Published in
Photonic Network Communications / Issue 2/2020
Print ISSN: 1387-974X
Electronic ISSN: 1572-8188
DOI
https://doi.org/10.1007/s11107-020-00909-5