A Non-Stationary Geometry-Based Channel Model for IRS-Assisted UAV-MIMO Channels
A Non-Stationary Geometry-Based Channel Model for IRS-Assisted UAV-MIMO Channels
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DOI：
10.1109/lcomm.2021.3116192
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Chenjun Cao;Zhuxian Lian;Yajun Wang;Yinjie Su;Biao Jin
中科院分区：
文献类型：
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作者：
Chenjun Cao;Zhuxian Lian;Yajun Wang;Yinjie Su;Biao Jin
提出了一种非平稳三维智能反射面辅助无人机多输入多输出信道模型。研究了基于接收信号最优功率设计的IRS的时变反射相位。在此基础上，研究了IRS反射单元的数目、几何面积以及无人机飞行速度对信道统计特性的影响。数值结果表明，采用可调相位的IRS可以有效地提高接收信号的功率，减小多径衰落现象，且空间相关性随IRS反射单元数的增加而显著降低。
A non-stationary three dimensional (3-D) intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) multiple-input multiple-output (MIMO) channel model is proposed. The time-varying reflection phases of the IRS, which are designed based on the optimal power of the received signal, are investigated. Based on the proposed reflection phases, the effect of the number and geometric area of IRS reflection units and the speed of UAV on channel statistics are also investigated. The numerical results show that the power of received signal can be enhanced and the multipath fading phenomenon can be effectively reduced by using tunable phases of IRS, and the spatial correlation significantly decreases with the increase of the number of IRS reflection units.