An Optical Multiplex Section (OMS) is a segment of an optical network dedicated to managing and transmitting multiple wavelength channels within a fiber optic system. It operates as a key layer in wavelength-division multiplexing (WDM) systems, where multiple optical signals, each carrying distinct data, are multiplexed (combined) onto a single fiber and later demultiplexed (separated) at the receiving end.
We combine few-shot learning and grey-box modeling for EDFAs in optical lines, training a single EDFA model on 500 spectral loads and transferring it to other EDFAs using 4-8 samples, maintaining low OSNR prediction error.
In Optical Multiplex Section (OMS) control and optimization framework, end-to-end (Global) and span-by-span (Local) DNN gray-box strategies are compared in terms of scalability and accuracy of the output signal and noise power predictions. Experimental measurements are carried out in OMSs with increasing number of spans.
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