Abstract
A major hurdle in widespread deployment of uncrewed aerial vehicles (UAVs) in existing communications infrastructure is the limited UAV onboard energy. Therefore, this study considers solar energy harvesting UAVs for wireless communications. In this context, we consider 3-D position optimization of a solar-powered UAV relay that connects a distant sensor field to an optical ground station (OGS) for data processing. The integrated sensor-UAV-OGS network utilizes radio frequency band for sensor-to-UAV links and the optical band for the UAV-to-OGS feeder link. Since atmospheric conditions affect both the harvested solar energy as well as the optical wireless signal, this study tackles UAV position optimization problems under various channel conditions such as clouds, atmospheric turbulence and dirt. From this study, we discover that the optimum position of the UAV—that maximizes the end-to-end channel capacity—is heavily dependent on the atmospheric channel conditions.
| Original language | English |
|---|---|
| Article number | 10851439 |
| Pages (from-to) | 5853-5870 |
| Number of pages | 18 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 61 |
| Issue number | 3 |
| Early online date | 23 Jan 2025 |
| DOIs | |
| Publication status | Published - 11 Jun 2025 |
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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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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