Waveform Optimization for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities

TL;DR

This paper introduces a waveform optimization method for wireless power transfer that accounts for non-linearities in both the power amplifier and energy harvester, improving efficiency over traditional linear assumptions.

Contribution

It proposes a novel channel-adaptive waveform design that considers non-linearities in both HPA and EH, enhancing WPT performance.

Findings

HPA non-linearity significantly reduces energy harvesting efficiency.

The proposed waveform compensates for HPA non-linearity, restoring efficiency.

Simulation results confirm improved WPT performance with the new design.

Abstract

Waveform optimization has recently been shown to be a key technique to boost the efficiency and range of far-field wireless power transfer (WPT). Current research has optimized transmit waveform adaptive to channel state information (CSI) and accounting for energy harvester (EH)'s non-linearity but under the assumption of linear high power amplifiers (HPA) at the transmitter. This paper proposes a channel-adaptive waveform design strategy that optimizes the transmitter's input waveform considering both HPA and EH non-linearities. Simulations demonstrate that HPA's non-linearity degrades the energy harvesting efficiency of WPT significantly, while the performance loss can be compensated by using the proposed optimal input waveform.