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

Area of Science:

• Optical Communications
• Wireless Power Transfer
• Sensing and Localization

Background:

• Visible light communication (VLC) systems offer high bandwidth but face challenges in integrated positioning and energy harvesting.
• Silicon photovoltaic cells are increasingly used as receivers for both communication and energy harvesting in VLC systems.
• Optimizing resource allocation is crucial for balancing communication, positioning, and energy transfer efficiency.

Purpose of the Study:

• To propose a resource optimization allocation scheme for self-powered VLC and positioning systems.
• To minimize the system bit error rate (BER) while considering constraints on positioning error, harvested energy, and transmitter power.
• To achieve synergistic optimization of communication performance, positioning accuracy, and energy transfer efficiency.

Main Methods:

• Formulation of an optimization problem with BER minimization as the objective.
• Utilization of the multi-verse optimization (MVO) algorithm for dynamic resource allocation.
• Adjustment of subcarrier group power and receiver power allocation factor.

Main Results:

• The proposed MVO-based scheme significantly reduces BER compared to uniform allocation.
• Effective mitigation of high-frequency fading characteristics inherent to silicon photovoltaic cells.
• Demonstration of the trade-offs between communication, positioning, and energy harvesting.

Conclusions:

• The MVO algorithm provides an effective approach for optimizing integrated VLC and positioning systems.
• The proposed scheme offers novel insights for designing future self-powered optical communication systems.
• Resource allocation is key to balancing diverse performance metrics in VLC applications.