Abstract
In this article, a radio-frequency (RF) power-Amplifier (PA) system configuration for the on-board energy conversion is proposed for unmanned aerial vehicle base station s (UAV-BS s) battery charging. First, the PA system utilizes the internal RF source for energy conversion so that perpetual battery charging is possible without external power sources. Therefore, a continuous battery charging of the UAV-BS is possible while providing wireless network coverage by hovering over the target location. In addition, the proposed PA system offers a higher RF power control resolution than the existing PA works, which is desirable for precise power control of the UAV-BS. The objective of simultaneous RF power control and battery charging by the PA system is achieved by activating one Wilkinson power divider (WPD) with a specific power splitting ratio in the power divider bank. The simulations show that the dynamic activation of ten distinct unequal split WPDs of the proposed PA system improves the RF power control resolution by 157 and 396% compared to the existing PAs. Additionally, the simulations show that the PA s power added efficiency fluctuation is reduced by 54 and 82% compared to the existing PAs. In addition, it will be shown that the proposed on-board battery charging increases the hovering time by 7.4%. Furthermore, an energy-efficiency optimization framework for UAV-BS s is proposed considering real-world communication system s hardware imperfections, and the proposed result suggests that UAV-BS s flight time may decrease by 50% depending upon the type of UAV-BS RF components.
| Original language | English |
|---|---|
| Pages (from-to) | 4451-4472 |
| Number of pages | 22 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 58 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Oct 2022 |
Bibliographical note
Publisher Copyright:© 1965-2011 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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