Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication
【Objective】As communication network technologies rapidly evolve towards the 6th Generation Mobile Communication Technology (6G), the future may see the emergence of an integrated internet of everything that covers space, sky, land, and sea scenarios. In this context, cross-water Visible Light Commun...
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Published in | Guangtongxin Yanjiu |
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Main Authors | , |
Format | Journal Article |
Language | Chinese |
Published |
《光通信研究》编辑部
01.08.2025
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Subjects | |
Online Access | Get full text |
ISSN | 1005-8788 |
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Summary: | 【Objective】As communication network technologies rapidly evolve towards the 6th Generation Mobile Communication Technology (6G), the future may see the emergence of an integrated internet of everything that covers space, sky, land, and sea scenarios. In this context, cross-water Visible Light Communication (VLC) has emerged as one of the key enabling technologies to support such a new network.【Methods】In this paper, we address the shortcomings of existing Water-to-Air (W2A) VLC systems with a Deep Learning (DL) aided Link Alignment (LA) scheme for a W2A-VLC system communication between Unmanned Aerial Vehicle (UAV) and Autonomous Underwater Vehicles (AUV), based on the proposed extended W2A (eW2A) VLC channel model. Upon the aligned optical link between the transmitter and receiver, we further design a signal detection scheme based on a wind speed estimator and a channel classifier operating in a channel with unknown wind speeds.【Results】The results show that the fitted eW2A channel model based on Lognormal a |
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ISSN: | 1005-8788 |