Communications and Signals Design for Wireless Power Transmission
By Yong Zeng, Bruno Clerckx, Rui Zhang. IEEE Transactions on Communications, 2016
437 citations recorded by the source corpus.
Radiative wireless power transfer (WPT) is a promising technology to provide cost-effective and real-time power supplies to wireless devices. Although radiative WPT shares many similar characteristics with the extensively studied wireless information transfer or communication, they also differ significantly in terms of design objectives, transmitter/receiver architectures and hardware constraints, and so on. In this paper, we first give an overview on the various WPT technologies, the historical development of the radiative WPT technology and the main challenges in designing contemporary radiative WPT systems. Then, we focus on the state-of-the-art communication and signal processing techniques that can be applied to tackle these challenges. Topics discussed include energy harvester modeling, energy beamforming for WPT, channel acquisition, power region characterization in multi-user WPT, waveform design with linear and non-linear energy receiver model, safety and health issues of WPT, massive multiple-input multiple-output and millimeter wave enabled WPT, wireless charging control, and wireless power and communication systems co-design. We also point out directions that are promising for future research.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1dee93b7baf9e401a7925aa66a40b70777bc2e3f
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In Electrical and Electronic Engineering
Citations in the corpus
- Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, background): “…long distance, various techniques have been proposed to be implemented at the energy transmitter and/or receiver for improving the WPT efficiency, such as waveform design, energy transmission and scheduling, energy beamforming, rectifiers with high energy conversion efficiency, and so on [161], [162].”
- UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization (2017, methodology): “On one hand, the UAVs can cooperatively design their trajectories subject to individual UAV speed and interUAV collision avoidance constraints; on the other hand, the UAVs can cooperatively design their transmit energy signals based on the technique of distributed energy beamforming [4].”
- Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization (2019, background): “1Note that the considered system model can be also applied to wireless power transfer (WPT) [3] as the harvested radio-frequency (RF) energy at the receiver is generally modeled as an increasing function of the received signal power [10], i.”
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “Efficiencies e 1 , e 2 and e 3 are indeed coupled with each other due to the energy harvester nonlinearity [7], [46], [47].”
- Joint offloading and computing optimization in wireless powered mobile-edge computing systems (2017, methodology): “cterize such nonlinear relations between the harvested DC power and the input RF power [23] or transmit waveform [24]. However, there still lacks a generic EH model that captures all practical issues [21]. Therefore, for simplicity, we assume that the input RF power is within the linear regime of th”
- Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints (2019, background): “However, an energy user (EU) typically requires much higher receive power than that of the signal for an information user (IU), due to their drastically different receiver sensitivities and application requirements in practice [1].”
- Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, background): “[257] Y.”