Experimental Demonstration of Machine Learning Transformer Based Equalization of Channel Nonlinearities
Conference: ECOC 2024 - 50th European Conference on Optical Communication
09/22/2024 - 09/26/2024 at Frankfurt, Germany
Proceedings: ITG-Fb. 317: ECOC 2024
Pages: 4Language: englishTyp: PDF
Authors:
Gautam, Naveenta; Agarwal, Prankush; Kaylor, C. Alex; Lall, Brejesh; Choudhary, Amol; Ralph, Stephen E.
Abstract:
We experimentally demonstrate a Machine Learning (ML) Transformer-based nonlinear equalization for WDM 16QAM coherent optical communication systems. Q factor gains as high as 1.7 dB are demonstrated for multi-span links. Performance and computational efficiency are superior to digital backpropagation and other ML techniques.