A Non-Stationary Geometry-Based Channel Model for IRS-Assisted UAV-MIMO Channels

被引：18
作者：
Cao, Chenjun [1 ]
Lian, Zhuxian [1 ]
Wang, Yajun [1 ]
Su, Yinjie [1 ]
Jin, Biao [1 ]
机构：
[1] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang 212003, Jiangsu, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2021年 / 25卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Unmanned aerial vehicles; Manganese; Receiving antennas; Azimuth; Channel models; Numerical models; Fading channels; Unmanned aerial vehicle (UAV); intelligent reflecting surface (IRS); time-varying reflection phases; INTELLIGENT REFLECTING SURFACES; SYSTEMS; 5G;
D O I：
10.1109/LCOMM.2021.3116192
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：3760 / 3764
页数：5
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