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Probabilistic low-margin optical-network design with multiple physical-layer parameter uncertainties
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DOI：10.1364/JOCN.482734.png)
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摘要
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Analytical models for quality of transmission (QoT) estimation require safety design margins to account for uncertain knowledge of input parameters. We propose and evaluate a design procedure that gradually decreases these margins in the presence of multiple physical-layer uncertainties (namely, connector loss, erbium-doped fiber amplifier gain ripple, and fiber type) by leveraging monitoring data to build a probabilistic machine-learning-based QoT regressor. We evaluate the savings from margin reduction in terms of occupied spectrum and number of installed transponders in the C and C C L bands and demonstrate that 4%-12% transponder/spectrum savings can be achieved in realistic network instances by simply leveraging the SNR monitored at receivers and paying off a low increment in the lightpath disruption probability (at most 1%-4%). (c) 2023 Optica Publishing Group
Keyword:
Signal to noise ratio
Erbium-doped fiber amplifiers
Monitoring
Uncertainty
Optical receivers
Connectors
Optical losses
期刊
IF:
4.3
论文数:
2.2K
被引数:
3.8K
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