Predictive autonomic transmission for low-cost low-margin metro optical networks
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ORIGINAL PAPER
Predictive autonomic transmission for low‑cost low‑margin metro optical networks Marc Ruiz1 · Fabien Boitier2 · Behnam Shariati1 · Patricia Layec2 · Luis Velasco1 Received: 3 September 2019 / Accepted: 17 August 2020 / Published online: 27 August 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Autonomic transmission · BER prediction · Network automation
1 Introduction Given the network traffic and services sustained growth forecast for the coming years [1], optical networks, specifically those in the metro segment, need to be redesigned. In this regard, low-margin operation of optical networks with reduced cost is becoming attractive for operators dealing with such traffic increment [2]; low-margin operation requires both advanced optical transmission technologies and real-time solutions for network performance estimation. The introduction of the coherent transmission technology in metro networks [3] requires the redesign of classical longhaul systems aiming at minimizing capital and operational
* Luis Velasco [email protected] 1
Optical Communications Group (GCO), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
Nokia Bell Labs, Nozay, France
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(mainly from power consumption) costs [4]. A solution to reduce the costs of coherent optical transponders is to reduce th
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