What is the right physical layer model for a highly dynamic reconfgurable optical network?

We investigated the variability of non-linearity generation in dynamically-reconfigurable network scenarios with re-routing, non-homogenous formats and variable accumulated dispersion among channels. Based on the results, we discuss practical modeling options fore real-time physical-layer awareness in dynamically reconfigurable networks.

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