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

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-01-23 DOI:10.1109/TAES.2025.3526742
Heyou Liu;Muhammad Salman Bashir;Mohamed-Slim Alouini
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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.
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太阳能悬停无人机光无线回程中继的三维位置优化
在现有通信基础设施中广泛部署无人驾驶飞行器(UAV)的一个主要障碍是无人机机载能量有限。因此,本研究考虑将太阳能收集无人机用于无线通信。在这种情况下,我们考虑了太阳能无人机中继的三维位置优化,该中继将远程传感器场连接到光学地面站(OGS)进行数据处理。集成传感器-无人机- ogs网络利用无线电频段用于传感器-无人机链路,光学频段用于无人机- ogs馈线链路。由于大气条件既影响收获的太阳能,也影响光无线信号,因此本研究解决了云层、大气湍流和污垢等各种通道条件下无人机的位置优化问题。从这项研究中,我们发现无人机的最佳位置——最大化端到端信道容量——严重依赖于大气信道条件。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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