Differential Evolution in Waveform Design for Wireless Power Transfer

Abstract

The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the receiver rectenna’s nonlinear behavior and the Channel State Information (CSI). This is a non-convex problem that has been previously addressed by Sequential Convex Programming (SCP) algorithms. Nonetheless, SCP algorithms do not always attain globally optimal solutions. To this end, in this paper, we evaluate a set of Evolutionary Algorithms (EAs) with several characteristics. The performance of the optimized multi-tone transmission signals in a WPT system is assessed by means of numerical simulations, utilizing a simplified Single Input Single Output (SISO) model. From the model evaluation, we can deduce that EAs can be successfully applied to the waveform design optimization problem. Moreover, from the presented results, we can derive that EAs can obtain the optimal solutions in the tested cases.

High-Efficiency Triple-Band RF-to-DC Rectifier Primary Design for RF Energy-Harvesting Systems

“…Ambient Electromagnetic (EM) energy harvesting has emerged as a potentially reliable method to replace the costly and quite difficult to maintain source of wireless sensor networks [2,3]. Unlike other harvesting techniques that are strongly dependent on exogenous factors, such as climate or environmental conditions, RF energy harvesting and Wireless Power Transfer (WPT) are mostly related to the radio propagation channel [1,[4][5][6], so it is better suited to supporting Quality-of-Service (QoS)-based applications [7].…”