Enhancing generalization in neural network-based waveform-level channel modeling for optical fiber transmission through parameter encoding structures.

Fast and accurate optical fiber channel waveform modeling is essential for the evaluation of optical communication systems. Traditional modeling methods, such as the split-step Fourier method (SSFM), suffer from significant computational complexity.…

Preview only. Read the full abstract at the source