Title | ||
---|---|---|
Demonstration of Channel-Predictable Free Space Optical Communication System Using Machine Learning |
Abstract | ||
---|---|---|
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. |
Year | Venue | DocType |
---|---|---|
2021 | 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Song Song | 1 | 0 | 0.34 |
Yejun Liu | 2 | 0 | 1.35 |
Tianming Xu | 3 | 0 | 0.34 |
Shasha Liao | 4 | 0 | 0.34 |
Lei Guo | 5 | 2 | 1.05 |