PAPR-Aware Waveform Design for Energy-Efficient MIMO-OFDM SWIPT
Chongda Huang, Yue Xiao, Qianzhen Zhang, Lilin Dan, Xianfu Lei, Kai-Kit Wong

TL;DR
This paper develops a unified framework for PAPR-aware waveform design in MIMO-OFDM SWIPT systems, optimizing energy transfer and data throughput by balancing PAPR effects on power amplifiers and rectifiers.
Contribution
It introduces a novel analytical framework linking PAPR characteristics to energy harvesting and proposes a frequency-domain resource allocation strategy for MIMO-OFDM SWIPT.
Findings
Enhanced power amplifier efficiency and rectifier output.
Effective waveform adaptation improves energy transfer.
Validates approach through simulation results.
Abstract
Simultaneous wireless information and power transfer (SWIPT) critically depends on waveform design, which governs both reliable data delivery and efficient energy harvesting. Among waveform characteristics, the peak-to-average power ratio (PAPR) plays a pivotal role: low-PAPR signals improve power amplifier (PA) efficiency, while high-PAPR signals exploit rectifier nonlinearities to boost harvested energy. This duality makes PAPR a fundamental design challenge in SWIPT systems. To tackle this issue, we establish a unified analytical framework that characterizes the PAPR-dependent behaviors of both the PA and the rectifier, thereby revealing how waveform statistics determine end-to-end energy transfer efficiency. Building on this insight, we propose a frequency-domain resource allocation strategy for power-splitting SWIPT, where spectral segments are adaptively assigned to balance…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · PAPR reduction in OFDM · Wireless Power Transfer Systems
