Enhancing IM-DD MDM FSO Systems Through Deep Learning-Based Turbulence Prediction
Conference: ECOC 2024 - 50th European Conference on Optical Communication
09/22/2024 - 09/26/2024 at Frankfurt, Germany
Proceedings: ITG-Fb. 317: ECOC 2024
Pages: 4Language: englishTyp: PDF
Authors:
Wang, Kuo; Mazur, Mikael; Lavery, Martin P.J.
Abstract:
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.