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无人机-RIS辅助无电池大规模MIMO系统的下链传输:位置和轨迹优化

Qi Zhang^1,2, Jie Zhao², Rongcheng Zhang²

¹China Information Consulting & Design Institute Co., Ltd., Nanjing 210019, China.

Sensors (Basel, Switzerland)

|July 13, 2024

概括

这项研究优化了无人驾驶飞行器可重配置智能表面 (UAV-RIS) 在无细胞大规模MIMO系统中. 最佳的UAV-RIS放置和相位转移显著提高了用户设备总量率,部署策略适应用户分布.

科学领域:

无线通信系统无线通信系统
智能反射表面的使用
空中网络空中网络

背景情况:

无细胞大规模MIMO (CF-mMIMO) 提高了光谱效率.
可重新配置的智能表面 (RIS) 可以改善无线环境.
无人驾驶飞行器 (UAV) 提供动态的空中平台.

研究的目的:

对CF-mMIMO系统进行无人机载体RIS (UAV-RIS) 的调查.
最大限度地提高用户设备 (UE) 可实现的下游链路速率.
确定最佳的无人机位置和RIS相位移.

主要方法:

导出UE可实现的下游链接率的闭式近似.
将无人机位置与Rician K-factor相关联.
使用UAV-RIS参数的交替优化.

主要成果:

实现了显著的UE总和利率改善.
验证了推导率近似的准确性.
根据UE分布确定了最佳的UAV-RIS位置.

结论:

无人机RIS可以提高CF-mMIMO的性能.
最佳的无人机RIS部署取决于UE密度.
设计了高效的UAV-RIS轨迹,以实现持续的性能.

关键词:

在CF-mMIMO中.这里是RIS RIS.无人机无人机无人机是什么?下行链接总额利率率下行链接总额利率优化位置和轨迹的优化

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