Quality-of-Transmission Estimation in Physical Impairment Aware Flexible Optical Networks
Joschua Dilly

TL;DR
This paper investigates nonlinear interference noise in flexible optical networks to estimate transmission quality, analyzing factors influencing NLIN and comparing simulation results with analytical models.
Contribution
It introduces a detailed analysis of NLIN generation considering various parameters and evaluates simulation results against existing analytical models for impairment-aware optical networks.
Findings
NLIN is influenced by modulation format, dispersion, span length, and channel spacing.
Simulation results provide insights into phase and circular noise contributions.
Comparison with Gaussian noise models enhances understanding of transmission impairment.
Abstract
In this thesis the creation of nonlinear interference noise (NLIN) in the context of impairment aware flexible optical networks is investigated to estimate transmission quality. In particular, the nonlinear interference of neighboring channels (interferer) during transmission on a channel under test is studied. The modulation format of the interferer, the accumulated chromatic dispersion of the interferer, the span length and channel spacing are identified as the parameter influencing the generation of NLIN in the context of flexible optical networks. Estimation of the NLIN is done based on the evaluation of numerical simulation results and compared to recent analytical transmission models, namely the Gaussian noise model and the enhanced Gaussian noise model. In addition to nonlinear noise power, the simulations also yield information about the phase- and circular-noise contributions…
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Taxonomy
TopicsOptical Network Technologies · Advanced Photonic Communication Systems · Advanced Optical Network Technologies
MethodsAttentive Walk-Aggregating Graph Neural Network
