mlsanityData to 14 Oct 2026

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

arXiv 2206.07658 ↗First posted 16 May 2022cs.LG eess.SP physics.app-phcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 15 references that are in the map. First posted on arXiv 16 May 2022.

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1 of 15 references.

References · 1

  1. 2021Spectral and spatial power evolution design with machine learning-enabled Raman amplificationcited by 4

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Citing papers per year: 2022: 1.

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  1. 2022Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifierscited by 1