Version 1
: Received: 26 October 2024 / Approved: 26 October 2024 / Online: 28 October 2024 (13:23:17 CET)
How to cite:
Kang, J. Joint Design of Altitude and Channel Statistics Based Energy Beamforming for UAV-Enabled Wireless Energy Transfer. Preprints2024, 2024102109. https://doi.org/10.20944/preprints202410.2109.v1
Kang, J. Joint Design of Altitude and Channel Statistics Based Energy Beamforming for UAV-Enabled Wireless Energy Transfer. Preprints 2024, 2024102109. https://doi.org/10.20944/preprints202410.2109.v1
Kang, J. Joint Design of Altitude and Channel Statistics Based Energy Beamforming for UAV-Enabled Wireless Energy Transfer. Preprints2024, 2024102109. https://doi.org/10.20944/preprints202410.2109.v1
APA Style
Kang, J. (2024). Joint Design of Altitude and Channel Statistics Based Energy Beamforming for UAV-Enabled Wireless Energy Transfer. Preprints. https://doi.org/10.20944/preprints202410.2109.v1
Chicago/Turabian Style
Kang, J. 2024 "Joint Design of Altitude and Channel Statistics Based Energy Beamforming for UAV-Enabled Wireless Energy Transfer" Preprints. https://doi.org/10.20944/preprints202410.2109.v1
Abstract
In recent years, UAV-enabled wireless energy transfer (WET) has attracted significant attention for its ability to provide efficient and stable power for ground devices by flexibly navigating 3-dimensional (3-D) space and utilizing the favorable line-of-sight (LoS) channels. Meanwhile, energy beamforming utilizing multiple antennas has been touted as a key technology to substantially enhance the radio frequency (RF)-based WET efficiency by focusing energy beams towards devices in desirable directions. However, energy beamforming design for UAV-enabled WET systems has not been studied, despite its tremendous utility. In this paper, we propose a joint design of the UAV’s altitude and channel statistics based energy beamforming to minimize the overall charging time required for all energy havesting devices (EHDs) to meet their energy demands, while alleviating the additional resources and cost for channel estimation. Unlike previous works that considered only the LoS dominant channel without small-scale fading, we adopt a more general air-to-ground (A2G) Rician fading channel, where the LoS probability as well as the Rician factor depends on the UAV’s altitude. To tackle the highly non-convex and non-linear problem, we first examine a single EHD scenario in order to draw insights by deriving an optimal energy beamformihng in a closed-form, and then devise the efficient methods to jointly design the altitude and energy beamforming for a multiple EHDs scenario. Our numerical results exhibit that the proposed joint design considerably reduce the overall charging time, while benefiting from significantly lowering the computational complexity compared the conventional methods.
Keywords
Wireless energy transfer; UAV; Altitude; Energy beamforming; Channel statistics; Charging time; Optimization
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
