4.5 Article

LED Adaptive Deployment Optimization in Indoor VLC Networks

期刊

CHINA COMMUNICATIONS
卷 18, 期 6, 页码 201-213

出版社

CHINA INST COMMUNICATIONS

关键词

visible light communication; light-emitting diodes; centroidal Voronoi tessellation; quality of experience; optimal deployment

资金

  1. National Natural Science Foundation of China [61772243]
  2. Jiangsu Provincial Key Research and Development Program [BE2018108]
  3. Six talent peak high level talent plan projects of Jiangsu Province [XYDXX-115]

向作者/读者索取更多资源

This study investigates the optimal configuration of LEDs in indoor environments under the constraints of illumination and quality of experience (QoE), using Voronoi tessellation (VT) and centroidal Voronoi tessellation (CVT) theory combined with the Lloyd's algorithm. Simulation results demonstrate that the proposed deployment approach can provide better QoE performance with fewer LEDs under the same conditions.
Driven by the continuous penetration of high data rate services and applications, a large amount of unregulated visible light spectrum is used for communication to fully meet the needs of 6th generation (6G) mobile technologies. Visible light communication (VLC) faces many challenges as a solution that complements existing radio frequency (RF) networks. This paper studies the optimal configuration of LEDs in indoor environments under the constraints of illumination and quality of experience (QoE). Based on the Voronoi tessellation(VT) and centroidal Voronoi tessellation (CVT) theory, combined with the Lloyd's algorithm, we propose two approaches for optimizing LED deployments to meet the illumination and QoE requirements of all users. Focusing on (i) the minimization of the number of LEDs to be installed in order to meet illumination and average QoE constraints, and (ii) the maximization of the average QoE of users to be served with a fixed number of LEDs. Monte Carlo simulations are carried out for different user distribution compared with hexagonal, square and VT deployment. The simulation results illustrate that under the same conditions, the proposed deployment approach can provide less LEDs and achieve better QoE performance.

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