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Conference paper

Multi-band programmable gain Raman amplifier for high-capacity optical networks

By de Moura, U. C.1,2; Iqbal, M. A.3; Kamalian, M.3; Krzczanowicz, L.2,4,5; Da Ros, F.1,2; Rosa Brusin, A. M.6; Carena, A.6; Forysiak, W.3; Turitsyn, S.3; Zibar, D.1,2,5

From

Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark1

Department of Photonics Engineering, Technical University of Denmark2

Aston University3

Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark4

Centre of Excellence for Silicon Photonics for Optical Communications, Centers, Technical University of Denmark5

Polytechnic University of Turin6

The paper presents recent advances in the design of controllable, highly accurate, and multi–band Raman gain profiles. The ultra–wideband programmable gain profiles are implemented using a machine learning approach based on the mapping between gain profiles and pump powers.

Language: English
Publisher: IEEE
Year: 2021
Pages: 1-2
Proceedings: 2021 IEEE Photonics Conference
ISBN: 1665416017 and 9781665416016
ISSN: 2575274x
Types: Conference paper
DOI: 10.1109/IPC48725.2021.9592938
ORCIDs: de Moura, U. C. , Krzczanowicz, L. , Da Ros, F. and Zibar, D.
Keywords

Machine learning Optical fiber networks Optical harmonic generation Pumps Spectral efficiency Stimulated emission Tools

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