Frequency Comb-based Wavelength Division Multiplexing and Detection without Wavelength Demultiplexers

We demonstrate a wavelength division multiplexing (WDM) concept using demultiplexer-free frequency combs at both transmitter and receiver in a 4-wavelength 200-GHz-grid WDM system with flexible symbol rates, aiming to avoid the power-hungry wavelength control on demultiplexers.

Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks

We experimentally achieve a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing launch powers using machine learning by deep neural networks in a massively parallel fiber context.