Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

Chuan Yang; Dahai Han; Min ZhangLiqiang WangPeiyu JiaXiaotian JiangXiuqi Huang

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Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

机译：Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

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摘要

To meet the anticipated future demand for optical wireless high data rates, our study proposed a deep learning model-based adaptive digital pre-equalization scheme for visible light communication (VLC) channels is proposed to increase the data rate. We established the deep learning model to predict pre-equalization parameter (PEP) which is adaptive for various VLC channels. The proposed system is flexible and adaptive for commercial light emitting diode with different channel conditions. It improves the bandwidth of different VLC channels up to 125 MHz and has been validated on a 250-Mbps testbed. Based on the experimental results, the PEP update time is at most 5.1 s, and the bit error ratio is always <1 × 10~(-6) while using the PEP in the deep learning network. Meanwhile, the predicted and optimal values of the PEP correspond at 250 Mbps, and the maximum error between the predicted and optimal values of the PEP are only 7 for various channel conditions, including optical power, data rate, send distance, and send angle. The adaptive pre-equalization capability of the proposed system would be a universal digital solution for high-speed access in 6G scenarios combined with the VLC spectrum.

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来源
《Optical Engineering》 |2023年第1期|018101-1-018101-14|共14页
作者
Chuan Yang; Dahai Han; Min ZhangLiqiang WangPeiyu JiaXiaotian JiangXiuqi Huang;
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作者单位

Beijing Univ. of Posts and Telecommunications (China);

Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, Beijing, China (China);

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
Visible light communication; Data communications; Deep learning; Light emitting diodes; Telecommunications; Transformers; Visible radiation;

Visible light communication-channel-adaptive digital pre-equalization scheme based on a deep learning model

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