Machine learning model based on the time domain regular perturbation-based theory for performance estimation in arbitrary heterogeneous optical links
To meet the required high demands for the capacity of optical networks, there are several
efforts in recent years to further reduce the system margin. To achieve this goal, a fast and …
efforts in recent years to further reduce the system margin. To achieve this goal, a fast and …
RETRACTED ARTICLE: Machine learning in optical networks enhancement based on channel allocation and spectrum analysis for 5G application
Z Chang, W Zhao, M Chang - Optical and Quantum Electronics, 2023 - Springer
Abstract Undoubtedly, Machine Learning (ML) for Optical Communication (OC) has been a
popular topic in recent years and is likely to remain so for the foreseeable future. Recent …
popular topic in recent years and is likely to remain so for the foreseeable future. Recent …
Applications of Artificial Intelligence to Control and Analyze the Performance of Fiber-Optic Transmission Systems
X Ye - 2023 - theses.hal.science
The surging demands for internet traffic have necessitated continuous expansion in
opticalfiber communication systems capacity, cornerstone of global communication …
opticalfiber communication systems capacity, cornerstone of global communication …