在动态天气条件下安装无人机基站的节能部署模拟器
1Department of Electronic Engineering, Sogang University, Seoul 04107, Republic of Korea.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
本研究介绍了使用混合优化算法对无人驾驶飞行器 (UAV) 安装基站 (MBS) 进行节能部署策略. 该方法通过优化无人机位置和功率,考虑天气和地形以提高服务质量来提高网络性能.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 优化算法 优化算法
背景情况:
- 在无人机 (UAV) 装载基站 (MBS) 网络中的用户设备 (UE) 由于无人机的移动性和天气而面临动态频道变化.
- 服务质量 (QoS) 的退化需要优化部署UAV-MBS,考虑到3D位置,传输功率和环境因素.
研究的目的:
- 为多个无人机-MBS网络提出一个节能无人机-MBS部署方案.
- 优化每个无人机-MBS的三维 (3D) 位置和传输功率.
- 开发一个实用的部署模拟器,结合地理和气象数据.
主要方法:
- 采用混合改进的模拟化粒子群优化 (ISA-PSO) 算法来确定UAV-MBS的3D位置和传输功率.
- 开发了一个模拟器来模拟UAV-MBS部署,集成动态天气条件,地形数据和地理位置.
- 与传统的部署方法相比,评估了性能.
主要成果:
- 拟议的基于ISA-PSO的部署方案显示了与传统方法相比更快的趋同.
- 该方案在优化无人机-MBS参数方面实现了更高的稳定性.
- 开发的模拟器通过考虑实时天气和地形,提供了更实用的部署结果.
结论:
- 拟议的节能部署方案为无人机-MBS网络提供了卓越的性能.
- 混合ISA-PSO算法有效优化UAV-MBS 3D定位和传输功率.
- 天气感知模拟器提高了无人机-MBS部署策略的实用性和可靠性.
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