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Exploring multiamplitude voltage modulation to improve spectrum efficiency in low-complexity visible-light communication

  • Xiangyu Liu
  • Xuetao Wei
  • Lei GuoEmail author
  • Yejun Liu
Research Paper Special Focus on B5G Wireless Communication Networks

Abstract

Owing to the recent advancements in the Internet of Things (IoT), an increasing number of IoT devices have led to frequency crowding in wireless networks. The low-complexity visible light communication (VLC) system is a promising solution for indoor frequency-crowded wireless networks owing to the ubiquity of light-emitting diodes (LEDs) and readily deployable, low-cost modulation methods. However, due to the inherent limitations of LED materials and growth of data from IoT applications, low-complexity VLC systems can barely boost the data throughput without adding complex modulations and circuits. This study aims to design and implement a spectrum-efficient, low-complexity VLC system to improve data throughput with very little cost to support indoor IoT applications. This system uses multiamplitude voltage to transmit multiple bit streams simultaneously, making it a novel system. However, it is not trivial to achieve this goal as the varying voltage can cause the LEDs to flicker. Therefore, we further propose a voltage-to-current amplifier circuit, which effectively mitigates the effects of changes in the LED’s brightness upon human eyes. Finally, we evaluate the system under different speeds, distances, and angles. Extensive experiments demonstrate promising results from the viewpoint of spectrum efficiency, throughput, bit-error rate, and user perception.

Keywords

visible light communication amplitude modulation spectral efficiency 

Notes

Acknowledgements

This work was supported in part by National Nature Science Foundation of China (Grant Nos. 61801105, 61501104, 61775033, 61771120), and in part by Fundamental Research Funds for the Central Universities (Grant Nos. N161604004, N161608001, N171602002).

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Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringNortheastern UniversityShenyangChina
  2. 2.School of Information TechnologyUniversity of CincinnatiCincinnatiUSA
  3. 3.School of Communication and Information EngineeringChongqing University of Posts and TelecommunicationsChongqingChina

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