Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers

2022/05/16 by Mehran Soltani, Francesco Da Ros, Soltani, Mehran +5
Computer Science · Engineering · #Advanced Photonic Communication Systems #Applied Physics (physics.app-ph) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Optical Network Technologies #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2206.07658

openalex publication_date 2022/05/16 · openalex created_date 2022/06/18 · openalex updated_date 2026/07/28

Abstract

We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber distance. The proposed experiment addresses the amplification in the whole C-band, by optimizing four first-order counter-propagating Raman pumps.

Citations

• Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

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