Abstract
Thanks to the properties of light emitting diodes (LEDs), visible light communication (VLC) technology is very competitive in providing high-speed communication and high-precision positioning services. Compared with indoor systems, outdoor VLC faces more challenges due to the strong ambient light disturbance. In this paper, we evaluate and analyze the performance of outdoor VLC systems by conducting outdoor experiments on VLC systems with two types of receivers. For the image sensor-based VLC system, we measure the hit rate and analyze the captured rolling shutter patterns by image processing methods. For the photo detector (PD)-based VLC system, we observe the received signal by an oscilloscope and add a DC-offset to enhance the performance. The results show that when the image sensor-based VLC system is placed in the sun, it can achieve the maximum hit rate of 55% under the communication distance of about 0.3 m. Besides, the PD-based VLC system with a DC-offset can successfully identify and decode transmitted signals under much longer distance. However, PD-based receiver strictly requires the alignment between the LED and the receiver and is not readily available on mobile devices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, Y., Zhang, L.: High security orthogonal factorized channel scrambling scheme with location information embedded for MIMO-based VLC system. In: 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, NSW, pp. 1–5. IEEE (2017)
Boubakri, W., Abdallah, W., Boudriga, N.: A light-based communication architecture for smart city applications. In: 2015 17th International Conference on Transparent Optical Networks (ICTON), Budapest, pp. 1–6. IEEE (2015)
Wang, Y., Zhang, L.: Uncoordinated chaotic channel scrambling scheme for multiple-input, multiple-output-based VLC system. IET Commun. 12(10), 1245–1252 (2018)
Guan, W., Chen, X., Huang, M., Liu, Z., Wu, Y., Chen, Y.: High-speed robust dynamic positioning and tracking method based on visual visible light communication using optical flow detection and Bayesian forecast. IEEE Photonics J. 10(3), 1–22 (2018)
Soner, B., Ergen, S.C.: Vehicular visible light positioning with a single receiver. In: 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, pp. 1–6. IEEE (2019)
Kalaiselvi, V.K.G., Sangavi, A.: Li-Fi technology in traffic light. In: 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), Chennai, pp. 404–407. IEEE (2017)
Zhuang, Y., Hua, L., Qi, L., Yang, J., Cao, P., et al.: A survey of positioning systems using visible LED lights. IEEE Commun. Surv. Tutor. 20(3), 1963–1988 (2018)
Chow, C.W., Chen, C.Y., Chen, S.H.: Enhancement of signal performance in LED visible light communications using mobile phone camera. IEEE Photonics J. 7(5), 1–7 (2015)
Yeh, C.H., Chow, C.W., Chen, H.Y., Chen, J., Liu, Y.L.: Adaptive 84.44–190 Mbit/s phosphor-LED wireless communication utilizing no blue filter at practical transmission distance. Opt. Express 22(8), 9783–9788 (2014)
Cai, Y., Guan, W., Wu, Y., Xie, C., Chen, Y., Fang, L.: Indoor high precision three-dimensional positioning system based on visible light communication using particle swarm optimization. IEEE Photonics J. 9(6), 1–20 (2017)
Liu, Y., Chen, H.Y., Liang, K., Hsu, C.W., Chow, C.W., Yeh, C.H.: Visible light communication using receivers of camera image sensor and solar cell. IEEE Photonics J. 8(1), 1–7 (2015)
Li, X., Hussain, B., Wang, L., Jiang, J., Yue, C.P.: Design of a 2.2-mW 24-Mb/s CMOS VLC receiver SoC with ambient light rejection and post-equalization for Li-Fi applications. J. Lightwave Technol. 36(12), 2366–2375 (2018)
Acknowledgements
This work was supported in part by the Science and Technology Plan of Shenzhen under Grant JCYJ20170818113929095, in part by the Research and Development Program in Key Areas of Guangdong Province under Grant 2019B010116002 and in part by the HKUST-Qualcomm Optical Wireless Laboratory.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, Y., Xu, B., Kang, J., Qiu, C., Patrick Yue, C. (2021). Performance Analysis and Evaluation of Outdoor Visible Light Communication Reception. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-030-66785-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66784-9
Online ISBN: 978-3-030-66785-6
eBook Packages: Computer ScienceComputer Science (R0)