🤖 AI Summary
This work addresses the challenge of achieving both efficiency and robustness in multi-user wireless power transfer under time-varying channels, where conventional single-transmitter time-division scheduling falls short. The authors propose a spatiotemporal joint scheduling approach that leverages coordinated multi-transmitter beamforming to simultaneously optimize temporal and spatial resource allocation. By incorporating a nonlinear rectenna model and strategically exploiting inter-cluster interference as a performance-enhancing factor, the method effectively adapts to dynamic channel conditions. Experimental results demonstrate that the proposed scheme significantly improves both the efficiency and stability of energy delivery, particularly in complex propagation environments characterized by shadow fading and other channel impairments.
📝 Abstract
In multi-user wireless power transfer (WPT), scheduling schemes that determine the allocation of transmission resources among receivers play a crucial role in improving power transfer efficiency. Scheduling can be classified into time-division (TD) and space-division (SD) schemes, with the transmission order and direction designed to control when and to whom power is delivered. TD-WPT can exploit the nonlinear characteristics of rectennas by concentrating power in time; however, a system relying on highly directional transmission from a single location reduces robustness under time-varying channel conditions. This study investigated the effectiveness of spatio-temporal scheduling in coordinated multi-transmitter WPT systems. By employing multiple transmitters, the proposed method is robust against channel variations in delivering power. Moreover, coordinated beamforming among transmitters exploits inter-cluster interference. Simulation results demonstrate the potential of the proposed scheme for robust and efficient power supply, even under shadowing conditions.