Rate Optimization Based on Successive Convex Approximation Algorithm in the Self-Powered Visible Light Communication and Positioning System

In this work, a novel self-powered visible light communication and positioning (SPVLCP) system is constructed, which can realize communication, positioning, and energy harvesting simultaneously. The resource allocation scheme applying orthogonal frequency division multiple (OFDM) modulation and the power splitting (PS) method is proposed for the SPVLCP system. Based on this scheme, a corresponding optimization allocation strategy is provided, aiming to maximize the data rate by optimizing the PS factor and the power allocated to subcarriers while ensuring positioning accuracy, harvested energy, and the LED transmit power. To solve the optimization issue, the successive convex approximation (SCA) algorithm and a series of equivalent substitutions are applied to convert the optimization issue from non-convex to convex. The findings demonstrated that the optimization allocation strategy can solve the trade-off problem among communication, positioning, and energy harvesting better than the uniform allocation strategy. Furthermore, the SCA-based algorithm has an obvious superiority over the conventional heuristic algorithm in solving the optimization issue for the proposed resource allocation scheme of the integrated SPVLCP system.