Resource optimization for a self-powered visible light communication positioning system based on a silicon photovoltaic cell

In this work, a resource optimization allocation scheme based on the multi-verse optimization (MVO) algorithm is proposed for a self-powered visible light communication and positioning system utilizing a silicon photovoltaic cell as the receiver. A corresponding optimization problem with the objective of minimizing the system bit error rate (BER) is formulated, which incorporates three constraints: positioning error threshold, harvested energy threshold, and maximum transmit electrical power of the light-emitting diode. The MVO algorithm is employed to dynamically adjust both the subcarrier group power at the sending end and the power allocation factor at the receiving end, thereby achieving a synergistic optimization of communication performance, positioning accuracy, and energy transfer efficiency. Simulation results indicate that, compared to the uniform allocation scheme, the proposed scheme significantly reduces the BER and effectively mitigates the high-frequency fading characteristics derived from the silicon photovoltaic cell. The demonstration reveals the trade-off between communication, positioning, and energy harvesting, offering, to our knowledge, novel insights into the design and optimization of future integrated systems.

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Publication Details

Journal
Applied Optics
Published
2025-06-03
DOI
https://doi.org/10.1364/ao.565430
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Resource optimization for a self-powered visible light communication positioning system based on a silicon photovoltaic cell

Jinzhi Zhou, Huimin Lu, Danyang Chen, Bang Liu et al.
Applied Optics
Optical Wireless Communication Technologies
article

Resource optimization for a self-powered visible light communication positioning system based on a silicon photovoltaic cell

Jinzhi Zhou, Huimin Lu, Danyang Chen, Bang Liu, Jianli Jin, Jianping Wang, Zihuan Liang, ZhangXiaohuan Zhang
article en

Abstract

In this work, a resource optimization allocation scheme based on the multi-verse optimization (MVO) algorithm is proposed for a self-powered visible light communication and positioning system utilizing a silicon photovoltaic cell as the receiver. A corresponding optimization problem with the objective of minimizing the system bit error rate (BER) is formulated, which incorporates three constraints: positioning error threshold, harvested energy threshold, and maximum transmit electrical power of the light-emitting diode. The MVO algorithm is employed to dynamically adjust both the subcarrier group power at the sending end and the power allocation factor at the receiving end, thereby achieving a synergistic optimization of communication performance, positioning accuracy, and energy transfer efficiency. Simulation results indicate that, compared to the uniform allocation scheme, the proposed scheme significantly reduces the BER and effectively mitigates the high-frequency fading characteristics derived from the silicon photovoltaic cell. The demonstration reveals the trade-off between communication, positioning, and energy harvesting, offering, to our knowledge, novel insights into the design and optimization of future integrated systems.

Applied OpticsVol. 64(19)
University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 90%
Optical Wireless Communication Technologies
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