Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links | IEEE Conference Publication | IEEE Xplore

Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links


Abstract:

We propose a strategy to dynamically adjust transmitted power solely based on the analysis of performance fluctuations due to polarization-dependent loss. We show that ou...Show More

Abstract:

We propose a strategy to dynamically adjust transmitted power solely based on the analysis of performance fluctuations due to polarization-dependent loss. We show that our method converges faster to optimum compared to a standard approach.
Date of Conference: 24-28 March 2024
Date Added to IEEE Xplore: 16 May 2024
Print on Demand(PoD) ISBN:979-8-3503-7758-3
Conference Location: San Diego, CA, USA

References

References is not available for this document.