Enhancing IM-DD MDM FSO Systems Through Deep Learning-Based Turbulence Prediction
Konferenz: ECOC 2024 - 50th European Conference on Optical Communication
22.09.2024-26.09.2024 in Frankfurt, Germany
Tagungsband: ITG-Fb. 317: ECOC 2024
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Wang, Kuo; Mazur, Mikael; Lavery, Martin P.J.
Inhalt:
This paper presents a method that utilizes deep learning to evaluate sequential crosstalk matrices with IM-DD, predicting turbulence intensity and the speed of its shifts. This technique opens the opportunity for environmentally reactive free-space communication systems for optimising link stability.