Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161839
Title: Enabling real-life deployment of piggyback-VLC via light emission composition
Authors: Yang, Yanbing
Luo, Jun
Chen, Chen
Chen, Liangyin
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Yang, Y., Luo, J., Chen, C. & Chen, L. (2020). Enabling real-life deployment of piggyback-VLC via light emission composition. IEEE Internet Computing, 24(1), 59-65. https://dx.doi.org/10.1109/MIC.2020.2973062
Project: MOE2016-T2-2- 022
Journal: IEEE Internet Computing
Abstract: Whereas the increasing popularity of both commercial light-emitting diode (LED) lighting and mobile devices certainly creates opportunity for real-life deployment of visible light communication (VLC) systems, reaching the high throughput promised by lab experiments still faces major obstacles. In particular, lacking the sophisticated hardware and software support under experimental conditions, real-life systems are challenged in many aspects, especially low signal-to-noise ratio, low operation frequency, uncontrollable LED nonlinearity, and illumination requirements. Nonetheless, deployments tapping commercial infrastructure are critical to gain market penetration for VLC-enabled wireless applications, so boosting the performance of these real-life systems becomes imperative. In this article, we consider the multiple LED chips and/or light sources nature of indoor commercial lighting infrastructure, and propose a spatial modulation that composes the cooperative light emissions (transmissions) from multiple LEDs. In addition to gaining a higher spectral efficiency, this scheme utilizes the multiple-LED nature of commercial lighting to overcome LED nonlinearity with a novel yet simplified hardware construction. We present two typical designs adopting this special modulation under different infrastructural constraints, and provide an introduction on its potential contribution to the standardization of VLC. Finally, we discuss potential extensions to further improve performance.
URI: https://hdl.handle.net/10356/161839
ISSN: 1089-7801
DOI: 10.1109/MIC.2020.2973062
Schools: School of Computer Science and Engineering 
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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