XL-RIS Enabled Near-Field Integrated Sensing and Wireless Power Transfer

Integrated radar sensing and wireless power transfer (ISWPT) is an emerging paradigm that seeks to combine the functionalities of radar sensing and wireless power transfer into a unified system, utilizing a shared hardware platform to maximize resource efficiency. In this paper, we investigate the performance of an ISWPT system that is enhanced by extremely large-scale reconfigurable intelligent surfaces (XL-RIS), which serve to dynamically control the propagation environment and improve both radar sensing and wireless power transfer. Specifically, we consider a system where energy receivers are placed within the near-field region of the XL-RIS and investigate the joint optimization of beamforming at the base station and the XL-RIS reflection phases. The goal is to maximize the efficiency of wireless power transfer while simultaneously enhancing radar sensing performance. The formulated problem, though non-convex in nature, is efficiently addressed through the introduction of an alternating optimization algorithm. Numerical simulations demonstrate the effectiveness of the proposed algorithm, showing substantial improvements in both radar sensing accuracy and wireless power transfer performance compared to existing baseline schemes.