Beamforming Optimization for MIMO Wireless Power Transfer with Nonlinear Energy Harvesting: RF Combining versus DC Combining
Shanpu Shen, Bruno Clerckx

TL;DR
This paper compares RF and DC combining schemes in MIMO wireless power transfer, showing RF combining's superior efficiency due to better utilization of rectenna nonlinearity, supported by theoretical analysis and circuit simulations.
Contribution
It introduces a comprehensive analysis of RF versus DC combining in MIMO WPT, including optimal beamforming strategies and practical circuit design, highlighting RF combining's significant advantages.
Findings
RF combining significantly outperforms DC combining in output DC power.
Output DC power scales linearly with the number of rectennas at the receiver.
RF combining achieves up to 240% higher power than DC combining in certain setups.
Abstract
In this paper, we study the multiple-input and multiple-output (MIMO) wireless power transfer (WPT) system so as to enhance the output DC power of the rectennas. To that end, we revisit the rectenna nonlinearity considering multiple receive antennas. Two combining schemes for multiple rectennas at the receiver, DC and RF combinings, are modeled and analyzed. For DC combining, we optimize the transmit beamforming, adaptive to the channel state information (CSI), so as to maximize the total output DC power. For RF combining, we compute a closed-form solution of the optimal transmit and receive beamforming. In addition, we propose a practical RF combining circuit using RF phase shifter and RF power combiner and also optimize the analog receive beamforming adaptive to CSI. We also analytically derive the scaling laws of the output DC power as a function of the number of transmit and receive…
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