Antenna Coding Optimization for Pixel Antenna Empowered MIMO Wireless Power Transfer
Yijun Chen, Shanpu Shen, Tianrui Qiao, Hongyu Li, Kai-Kit Wong, and Ross Murch

TL;DR
This paper introduces pixel antenna-based antenna coding for MIMO wireless power transfer, significantly boosting output power through optimized beamforming and coding schemes, with practical algorithms and codebook designs.
Contribution
It presents a novel antenna coding approach using pixel antennas for MIMO WPT, including new optimization algorithms and codebook design, achieving substantial power gains.
Findings
Output DC power increased by over 15 dB with binary coding.
Continuous coding adds another 6 dB improvement.
Codebook design outperforms previous methods by up to 40%.
Abstract
We investigate antenna coding utilizing pixel antennas as a new degree of freedom for enhancing multiple-input multiple-output (MIMO) wireless power transfer (WPT) systems. The objective is to enhance the output direct current (DC) power under RF combining and DC combining schemes by jointly exploiting gains from antenna coding, beamforming, and rectenna nonlinearity. We first propose the MIMO WPT system model with binary and continuous antenna coding using the beamspace channel model and formulate the joint antenna coding and beamforming optimization using a nonlinear rectenna model. We propose two efficient closed-form successive convex approximation algorithms to efficiently optimize the beamforming. To further reduce the computational complexity, we propose codebook-based antenna coding designs for output DC power maximization based on K-means clustering. Results show that the…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Wireless Power Transfer Systems · Wireless Body Area Networks
