Experimental Demonstration of a Dispersion Tolerant End-to-End Deep Learning-Based IM-DD Transmission System
Mathieu Chagnon, Boris Karanov, Laurent Schmalen · 2018
We experimentally demonstrate an IM-DD system relying on deep neural networks from transmitter to receiver delivering 42 Gb/s over 20 and 40 km at 1550 nm below 3.8×10-3. The ANN is trained to tolerate deviations in dispersion by as much as ±170ps/nm.