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arXiv 2401.16601eess.SP
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光无线回程中太阳能悬停无人机中继的三维位置优化

3-D Position Optimization of Solar-Powered Hovering UAV Relay in Optical Wireless Backhaul

Heyou Liu, Muhammad Salman Bashir, Mohamed-Slim Alouini

AI总结:

针对太阳能悬停无人机中继连接传感器场与OGS的光无线回程场景,研究三维位置优化,揭示大气条件对最优位置和端到端容量的关键影响。

摘要:

无人机(UAV,unmanned aerial vehicle)在现有通信基础设施中广泛部署的一个主要障碍是其机载能量有限。因此,本研究考虑将太阳能收集型无人机用于无线通信。在此背景下,我们研究一架太阳能无人机中继的三维位置优化,该中继将遥远的传感器场连接到光学地面站(OGS)以进行数据处理。所构建的传感器—无人机—OGS一体化网络在传感器到无人机链路上使用射频频段,在无人机到OGS馈线链路上使用光频段。由于大气条件既影响所收集的太阳能,也影响光无线信号,本研究处理了云、大气湍流和污垢等多种信道条件下的无人机位置优化问题。研究发现,使端到端信道容量最大化的无人机最优位置高度依赖于大气信道条件。

英文摘要:

A major hurdle in widespread deployment of UAVs (unmanned aerial vehicle) 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 three dimensional 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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