Beamforming and Waveform Optimization for RF Wireless Power Transfer with Beyond Diagonal Reconfigurable Intelligent Surfaces
Amirhossein Azarbahram, Onel L. A. Lopez, Bruno Clerckx, Marco Di Renzo, and Matti Latva-Aho

TL;DR
This paper explores the use of beyond diagonal reconfigurable intelligent surfaces (BD-RIS) to enhance RF wireless power transfer efficiency through joint beamforming and waveform optimization, demonstrating performance gains especially in non-line-of-sight conditions.
Contribution
It introduces a novel BD-RIS-assisted RF-WPT system and develops optimization algorithms for beamforming and waveform design, showing potential improvements over traditional RIS configurations.
Findings
BD-RIS outperforms D-RIS in non-line-of-sight scenarios.
Adding sub-carriers or RIS elements improves harvested power.
Transmit power influences sub-carrier power allocation.
Abstract
Radio frequency (RF) wireless power transfer (WPT) is a promising technology to seamlessly charge low-power devices, but its low end-to-end power transfer efficiency remains a critical challenge. To address the latter, low-cost transmit/radiating architectures, e.g., based on reconfigurable intelligent surfaces (RISs), have shown great potential. Beyond diagonal (BD) RIS is a novel branch of RIS offering enhanced performance over traditional diagonal RIS (D-RIS) in wireless communications, but its potential gains in RF-WPT remain unexplored. Motivated by this, we analyze a BD-RIS-assisted single-antenna RF-WPT system to charge a single rectifier, and formulate a joint beamforming and multi-carrier waveform optimization problem aiming to maximize the harvested power. We propose two solutions relying on semi-definite programming for fully connected BD-RIS, a successive convex…
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