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The Optical Network Emulation (ONE) engine is a real-time, multi-container software platform designed to model and emulate open optical transport networks with realistic fidelity. This paper introduces an enhanced version of the ONE engine that integrates a distributed implementation of a Gaussian Noise (GN) model for estimating nonlinear interference (NLI) in wavelength division multiplexing (WDM) systems. The inclusion of the GN model enables more realistic emulation of nonlinear signal degradation across diverse link configurations and operating conditions. The enhanced ONE package is then used to document the model’s impact on system performance under varying transmission conditions, including signal launched power and increased spectral loading. With this upgrade, the ONE engine expands its utility for research, development, and education, providing a scalable and flexible environment for testing physical-layer impairments and control strategies in software-defined optical networks.
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Accurate Representation of Signal Power Spectral Density in the Optical Network Emulation (ONE) Engine
The Optical Network Emulation (ONE) engine is a software tool that offers students the opportunity to learn how to control and operate open optical (wavelength division multiplexing) transport networks, such as those based on the Open ROADM MSA standards. This paper describes multiple modelling techniques that are implemented in the ONE engine to represent the signal power spectral density at any link/fiber section of the emulated transport network. These techniques make use of polynomial fitting and deconvolution computation methods.
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- Award ID(s):
- 1956357
- PAR ID:
- 10504888
- Publisher / Repository:
- IEEE
- Date Published:
- Journal Name:
- Title (Book/Conference Proceeding) Author Component Number ISBN Year Persistent Link Series Title Article Title 2023 23rd International Conference on Transparent Optical Networks (ICTON)
- ISBN:
- 979-8-3503-0303-2
- Page Range / eLocation ID:
- 1 to 4
- Format(s):
- Medium: X
- Location:
- Bucharest, Romania
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ICTON59386.2023.10207288
