In-Band Power Ripple Detection and Localization Using Longitudinal Power Monitoring

Optical performance monitoring has undergone a significant transformation with the advent of longitudinal power profile estimation (PPE), enabling advanced monitoring of signal and transmission link characteristics using only the received signal at the receiver side. As modern optical networks operate with higher symbol-rate signals, they require more extensive and accurate monitoring for effective management and optimized performance through just-enough margin systems. This paper presents the application of PPE for in-band power ripple (IPR) monitoring, demonstrating its effectiveness in detecting and localizing spectral variations. Two PPE-based techniques are introduced: sub-band PPE, which estimates spectral power within digital sub-bands to achieve higher granularity in signal power estimation, and reference-sweeping PPE, which adapts reference waveforms to match distortion patterns. While sub-band PPE allows precise detection of IPR with arbitrary shapes at the expense of spatial resolution, reference-sweeping PPE enhances efficiency by eliminating the need for deconvolution and reducing the number of estimation points when the IPR shape is approximated by a simple form. Simulation and experimental validation confirm the effectiveness of these approaches in high-baud-rate systems. This enables more accurate transmission quality assessment, facilitates rapid fault detection and localization, and further improves PPE performance, contributing to enhanced optical network reliability and efficiency.

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Publication Details

Journal
Journal of Lightwave Technology
Published
2025-06-24
DOI
https://doi.org/10.1109/jlt.2025.3582219
Primary Topic
Electromagnetic Compatibility and Noise Suppression
Type
article
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article

In-Band Power Ripple Detection and Localization Using Longitudinal Power Monitoring

Junho Chang, Zhiping Jiang, Choloong Hahn, Qing-Yi Guo
Journal of Lightwave Technology
Electromagnetic Compatibility and Noise Suppression
article

In-Band Power Ripple Detection and Localization Using Longitudinal Power Monitoring

Junho Chang, Zhiping Jiang, Choloong Hahn, Qing-Yi Guo
article en

Abstract

Optical performance monitoring has undergone a significant transformation with the advent of longitudinal power profile estimation (PPE), enabling advanced monitoring of signal and transmission link characteristics using only the received signal at the receiver side. As modern optical networks operate with higher symbol-rate signals, they require more extensive and accurate monitoring for effective management and optimized performance through just-enough margin systems. This paper presents the application of PPE for in-band power ripple (IPR) monitoring, demonstrating its effectiveness in detecting and localizing spectral variations. Two PPE-based techniques are introduced: sub-band PPE, which estimates spectral power within digital sub-bands to achieve higher granularity in signal power estimation, and reference-sweeping PPE, which adapts reference waveforms to match distortion patterns. While sub-band PPE allows precise detection of IPR with arbitrary shapes at the expense of spatial resolution, reference-sweeping PPE enhances efficiency by eliminating the need for deconvolution and reducing the number of estimation points when the IPR shape is approximated by a simple form. Simulation and experimental validation confirm the effectiveness of these approaches in high-baud-rate systems. This enables more accurate transmission quality assessment, facilitates rapid fault detection and localization, and further improves PPE performance, contributing to enhanced optical network reliability and efficiency.

Journal of Lightwave TechnologyVol. 43(17)
Huawei Technologies (Canada) (CA)
Affordable and clean energy
Openalex Percentile: Top 87%
Electromagnetic Compatibility and Noise Suppression
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In-Band Power Ripple Detection and Localization Using Longitudinal Power Monitoring — Junho Chang, Zhiping Jiang, et al. · Journal of Lightwave Technology (2025) | TGRS Research Map | TGRS