Of all the non-linear fiber propagation models proposed over the years, the Gaussian Noise (GN) model is growing in popularity due to its simplicity and yet reliability when it comes to predict performance of uncompensated coherent transmission (UT) systems that rely on state-of-the art digital-signal processing (DSP) for dispersion compensation. However, many of the systems currently deployed rely on optical CD compensation. Overhauling or upgrading these systems with the most recent DSP is not always feasible. In this context, it is important to broad the range of the GNmodel to dispersion managed (DM) systems, so both scenarios can benefit from a low complexity, fast and reliable performance prediction tool. In this paper, we validate the first results comparing the performance in both accuracy and simulation time of the GN model simulating a realistic DM scenario that relies on periodical spans of non-dispersion shifted fiber (NDSF) to perform the dispersion compensation. The same realistic scenarios were modeled with commercial software and the GN model. The objective was to predict the optimal launch power for different link lengths, central wavelengths and channel spacing values. Preliminary results obtained with the GN model are in good agreement with the ones from the commercial software for several link distances tested up to 2400 Km.
This paper highlights the use of graphical user interfaces (GUIs) developed with the guide tool from Matlab® for university level optical communications courses and research activities. Graphical user interfaces programmed with Matlab® would not only improve the learning experience, making models easier to understand, but also could be tweaked and improved by students themselves. As Matlab® is already taught in many universities, this would ease the process. An example of a model for a stationary EDFA is given to demonstrate the ease of use and understanding of the role of all the different parameters of the model, so students can get a real interactive experience. Another considered potential application is in research. With GUIs, researchers can make real-time parameter optimization, quick assessments and calculations, or simply showcase their work to broader audiences who may not be so familiar with the topic. A practical example of a research application is given for a parameter optimization of a model for non-linear phenomena in uncompensated long-haul transmission links is given. Besides all the emphasis given to practical applications and potential situations for its use, the paper also covers the basic notions of the critical steps in making a successful Matlab® GUI. Ease of use, visual appearance and computation time are the key features of a successfully implemented GUI.