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http://dx.doi.org/10.22156/CS4SMB.2022.12.02.030

Adaptive-learning Code Allocation Technique for Improving Dimming Level and Reducing Flicker in Visible Light Communication  

Lee, Kyu-Jin (Department of Electronic Engineering, Semyung University)
Han, Doo-Hee (Department of ICT Convergence Engineering, Halla University)
Publication Information
Journal of Convergence for Information Technology / v.12, no.2, 2022 , pp. 30-36 More about this Journal
Abstract
In this paper, when the lighting and communication functions of the visible light communication system are used at the same time, we propose a technique to reduce the dimming level and flicker of the lighting. Visible light communication must satisfy both communication and lighting performance. However, the existing data code method results in reducing the brightness of the entire lighting. This causes deterioration of lighting performance and flicker phenomenon. To solve this problem, in this paper, we propose an adaptive learning code allocation technique that allocates binary codes to transmitted characters and optimizes and matches the binary codes allocated according to the frequency of occurrence of alphabets in character strings. Through this, we studied a technique that can faithfully play the role of lighting as well as communication function by allocating codes so that the 'OFF' pattern does not occur continuously while maintaining the maximum dimming level of each character string. As a result of the performance evaluation, the frequency of occurrence of '1' increased significantly without significantly affecting the overall communication performance, and on the contrary, the frequency of consecutive '0' decreased, indicating that the lighting performance of the system was greatly improved.
Keywords
Visible light communication; Convergence technology; Dimming level; Wireless optical Communication; Flicker;
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Times Cited By KSCI : 3  (Citation Analysis)
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