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Demonstration of Channel-Predictable Free Space Optical Communication System Using Machine Learning (Th1A.36)

Presenter: Song Song, Northeastern University

This paper aims to uncover the predictability of Free Space Optical (FSO) channel. A channel-predictable MISO FSO communication system using machine learning is proposed and experimentally demonstrated through a simulated channel from real-world meteorological dataset.

Authors:Song Song, Northeastern University / Yejun Liu, CQUPT / Tianming Xu, Northeastern University / Shasha Liao, CQUPT / Lei Guo, CQUPT


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