在无线传感器网络中进行双IRS-UAV辅助上联数据采集的联合轨迹和IRS相位移优化
1School of Physics and Electronic Information, Henan Polytechnic University, Jiaozuo 454003, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究介绍了一种用于无线传感器网络 (WSN) 的双重智能反射面辅助无人机 (IRS-UAV) 框架. 这种新的方法通过优化无人机轨迹和IRS相位变化来提高双相总率.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 智能反射地面辅助无人机 (IRS-UAV) 在通信系统中越来越重要.
- 无线传感器网络 (WSNs) 在上联数据传输效率方面面临挑战.
研究的目的:
- 提出一种新的双IRS-UAV辅助框架,以加强WSN上的上链通信.
- 为了最大限度地提高双相加率,同时确保服务质量 (QoS) 的约束得到满足.
主要方法:
- 开发了一种联合优化算法,以同时优化无人机轨迹和IRS相位移.
- 引入了slack变量来线性化非线性约束,从而实现代子问题的解决.
- 一个协调优化框架被用于代的解决方案的改进.
主要成果:
- 拟议的算法有效优化无人机飞行轨迹.
- 在该系统的双对总率上取得了显著的改进,平均表现比传统方案高11.91%和16.36%.
- 该框架成功地平衡了最大化总和率与满足QoS要求.
结论:
- 双IRS-UAV框架为WSN中的上链通信提供了优质的解决方案.
- 对无人机轨迹和IRS相位转移的联合优化对于性能提升至关重要.
- 拟议的方法提供了一种强大而有效的方法来提高无线通信速率.
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