Data accompanying Optics Letters "Maximization or leveling: characterization of the trade-offs for the transmission throughput in ultrawideband optical transmission"

The data set contains raw data and ready-to-plot data for the paper in Optics Letters entitled “Maximization or leveling: characterization of the trade-offs for the transmission throughput in ultrawideband optical transmission” by Anastasiia Vasylchenkova, Eric Sillekens, Robert I. Killey, Polina Bayvel from Optical Networks Group, UCL, UK (https://doi.org/10.1364/OL.470105). The data is accompanied by two scripts: · long-script.m is using raw data of mutual information, and optimised launch power coefficients to perform additional processing to the dependency of mutual information (MI) and its gain achievable by the launch power pre-emphasis. · short-script.m is using ready-to-plot data to reproduce the figures from the paper. There are 4 files containing figures data: o Fig1OL.mat: contains values of excess kurtosis \Phi (as variable \PhiM) as a function of two constellation shaping adjustment parameters \nu_1 (as variable \nu1ARR) and \nu_2 (as variable \nu2ARR). See eq. 4 from the manuscript for notations. This data is displayed in figure 1. o panes.mat: contains values of MI achieved by the unconstrained launch power pre-emphasis (as variable MIuncon) and under different constraints (as variable MIcon...). All MI values are given as a function of shaping adjustment parameters \nu_1 (as variable \nu1ARR) and \nu_2 (as variable \nu2ARR). This data is displayed in figure 3. o inset.mat: contains values of MI for various link lengths (as variable distances) achieved by the unconstrained launch power pre-emphasis (as variable MIunconmax) and under different constraints (as variable MIconmax...). It is also accompanied by the MI achieved by the constellation shaping only (as variable MIshapingmax). This data is displayed in figure 4. o powers.mat: contains the optimal launch power as a function of the channel frequency (as variable fs) for the unconstrained launch power pre-emphasis (as variable power_uncon) and under different constraints (as variable power...). It is also accompanied by the optimal uniform launch power values (as variable powerun). The values are provided for the 18 spans setup. This data is not displayed in the final version of the manuscript but was requested by the reviewer, therefore we are including it in this dataset. Both scripts are runnable from MATLAB with no additional installation needed.