Geometry-Based UAV-MIMO Channel Modeling Assisted by Intelligent Reflecting Surface
Geometry-Based UAV-MIMO Channel Modeling Assisted by Intelligent Reflecting Surface
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DOI：
10.1109/tvt.2022.3163168
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发表时间：
2022-06
影响因子：
6.8
通讯作者：
Zhuxian Lian;Pingping Ji;Yajun Wang;Yinjie Su;Biao Jin;Zhenkai Zhang;Zhibin Xie;Si Li
中科院分区：
文献类型：
--
作者：
Zhuxian Lian;Pingping Ji;Yajun Wang;Yinjie Su;Biao Jin;Zhenkai Zhang;Zhibin Xie;Si Li
针对用户位于智能反射面(IRS)服务区边缘的无人机多输入多输出(MIMO)通信场景，提出了一种基于三维几何模型的信道模型。为了减少不同IRS反射单元之间的干扰，首先构造了不同IRS反射单元统计传播相位的优化问题，然后通过求解优化问题得到最优统计传播相位。最后，我们将所提出的IRS的统计传播相位与较强的分量对齐，以得到次优的IRS反射相位。利用导出的IRS反射位相，研究了它们的统计性质。数值结果表明，提出的IRS反射相位可以增强接收信号的强度，减小多径衰落的影响。此外，还可以观察到，当IRS反射单元的数量增加时，空间相关性显著降低。
A three dimensional (3-D) geometry-based channel model is proposed for intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) multiple-input multiple-output (MIMO) communication scenarios where the users are located on the edge of IRS service area. In order to reduce the interference between different IRS reflection units, we first construct an optimization problem about the statistical propagation phases of different IRS reflection units, and then derive the optimal statistical propagation phase by solving the designed optimization problem. Finally, we align the proposed statistical propagation phases of IRS with the stronger components to derive suboptimal IRS reflection phases. Using derived IRS reflection phases, the statistical properties are investigated. The numerical results show that the proposed IRS reflection phases can enhance the received signal strength and reduce the multipath fading effect. Also, it can be observed that when the number of IRS reflection units increases, the spatial correlation significantly decreases.