对IRS辅助无人机短包通信的能源效率最大化
Hang Hu1, Senhao Zhao1, Yangchao Huang2
1College of Information and Navigation, Air Force Engineering University, Xi'an, 710077, China.
Scientific reports
|March 18, 2025
概括
这项研究优化了第六代无线网络的能源效率,使用智能反射表面 (IRS) 和无人机 (UAV) 进行短包通信. 研究结果显示,最佳的无人机速度可以最大限度地降低能源消耗,IRS显著提高效率.
科学领域:
- 无线通信网络 无线通信网络
- 信号处理 信号处理
- 机器人和控制系统 机器人和控制系统
背景情况:
- 第六代 (6G) 无线网络要求超低延迟,用于先进的应用.
- 短包通信对于满足这些低延迟要求至关重要.
- 无人驾驶飞行器 (UAV) 越来越多地集成到传感和数据中继的通信网络中.
研究的目的:
- 为了最大限度地提高智能反射表面 (IRS) 辅助无人机短包通信的能源效率.
- 为了优化无人机的速度,轨迹,发射功率和IRS被动光束成形.
- 为了解决系统参数最大化中固有的非凸式优化问题.
主要方法:
- 使用顺序凸近似 (SCA) 方法来处理非凸问题.
- 为系统参数优化开发的联合代优化算法.
- 模拟分析以验证算法融合和性能.
主要成果:
- 拟议的联合代算法证明了良好的融合性能.
- 有一种最佳的无人机飞行速度,可以最大限度地降低整体能源消耗.
- 智能反射表面 (IRS) 已被证明可以有效地提高系统的能源效率.
结论:
- 开发的优化框架成功地提高了IRS辅助无人机短包通信系统的能源效率.
- 这些发现为设计节能6G通信系统提供了宝贵的见解.
- IRS技术为提高无线通信性能和可持续性提供了一个有希望的解决方案.
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