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.