Neural Network-Based Control of TDFA

Neural Network-Based Control of TDFA

The complexity of controlling optical amplifiers with multiple pumps, like Thulium-Doped Fiber Amplifiers (TDFAs), stems from the need to select the optimal pumping to ensure proper operation (e.g., maintaining a constant target output power). Therefore, an experimental demonstration of neural netwo...

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Bibliographic Details
Published in:2024 International Conference on Optical Network Design and Modeling (ONDM) pp. 1 - 3
Main Authors: Radovic, Margita, Sgambelluri, Andrea, Sambo, Nicola, Castoldi, Piero
Format: Conference Proceeding
Language:English
Published: IFIP 06-05-2024
Subjects:
Artificial neural networks
Multi-band
NETCONF
neural networks
Optical fiber amplifiers
Optical fiber networks
Power amplifiers
Power measurement
Reliability engineering
SDN control
TDFA
Wavelength measurement
YANG
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Summary:The complexity of controlling optical amplifiers with multiple pumps, like Thulium-Doped Fiber Amplifiers (TDFAs), stems from the need to select the optimal pumping to ensure proper operation (e.g., maintaining a constant target output power). Therefore, an experimental demonstration of neural network-assisted SDN control of TDFA configuration is presented. The proposed optimization enables efficient automated TDFA control, resulting in an RMSE of 0.23 dBm between target and actual output power.
DOI:10.23919/ONDM61578.2024.10582662