Multi-Service Multiplexing System Based on Visible Light Communication Article Swipe
As the Internet of Things (IoT) and communication technologies continue to evolve, the value of multi-service multiplexing in visible light communication (VLC) systems has been increasingly recognized, particularly in addressing the scarcity of wireless spectrum resources. This study reconstructed the stereo transmission protocol through methods such as dynamic level control, designed a timer interrupt service routine with a double buffer, and reassigned channel status bits in the frame processing function. Consequently, a multi-service multiplexing system based on VLC was designed and implemented. The system enables hybrid transmission of audio signals (1–21.6 kHz) and character data (300–1200 bps) via a single channel, accurately reproducing both voice and text input over a 3.2 m communication range. The system, benefiting from the directional nature of visible light communication, exhibits inherent robustness to multipath-induced interference in dominant line-of-sight (LoS) scenarios and can be easily integrated into existing lighting networks. Featuring a simple architecture and cost-effective design, this solution shows promise for deployment in RF-sensitive areas requiring multi-service communication.
Related Topics
- Type
- article
- Language
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- Landing Page
- https://doi.org/10.3390/s25237207
- https://www.mdpi.com/1424-8220/25/23/7207/pdf?version=1764151453
- OA Status
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- 8
- OpenAlex ID
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Raw OpenAlex JSON
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Multi-Service Multiplexing System Based on Visible Light CommunicationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-11-26Full publication date if available
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Yangyu ZhangList of authors in order
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https://doi.org/10.3390/s25237207Publisher landing page
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https://www.mdpi.com/1424-8220/25/23/7207/pdf?version=1764151453Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1424-8220/25/23/7207/pdf?version=1764151453Direct OA link when available
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0Total citation count in OpenAlex
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