Cognitive Raman Amplifier Control Using an Evolutionary Optimization Strategy

In this work, a cognitive Raman amplifier controller using an evolutionary optimization strategy for both in-field device calibration and optimal pump power configuration design is presented. The conceived methodology allows to jointly characterize the physical layer properties of the optical fiber...

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Bibliographic Details
Published in:IEEE photonics technology letters 2022-02, Vol.34 (4), p.223-226
Main Authors: Borraccini, Giacomo, Straullu, Stefano, Piciaccia, Stefano, Tanzi, Alberto, Galimberti, Gabriele, Curri, Vittorio
Format: Article
Language:English
Subjects:
Amplifiers
Attenuation
C band
Configuration management
Connectors
evolutionary optimization strategy
Gain
optical fiber networks
Optical fibers
Optical polarization
Optical properties
Optical pumping
Optimization
Physical layer
Power measurement
Raman amplification
Stimulated emission
Telemetry
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Summary:In this work, a cognitive Raman amplifier controller using an evolutionary optimization strategy for both in-field device calibration and optimal pump power configuration design is presented. The conceived methodology allows to jointly characterize the physical layer properties of the optical fiber span, such as the fiber attenuation profile, the entities of the lumped losses due to mechanical connectors or splices, the polarization coefficients between each Raman pump pair and the Raman efficiency curve. The developed framework expects to work using optical channel monitors (OCMs) as telemetry device and it has been experimentally validated, obtaining outstanding results in terms of precision on a C-band setup.
ISSN:1041-1135
1941-0174
DOI:10.1109/LPT.2022.3148449