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
相关论文
共 50 条
  • [31] 3D Wideband Non-Stationary Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
    Yuan, Yi
    Wang, Cheng-Xiang
    He, Yejun
    Alwakeel, Mohammed M.
    Aggoune, el-Hadi M.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (12) : 6883 - 6895
  • [32] Block Sparsity Based Channel Estimation for IRS-Assisted mmWave MIMO Systems
    Guo, Fang
    Zhou, Zhenhua
    Liao, Bin
    2024 IEEE 13RD SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP, SAM 2024, 2024,
  • [33] A Mobility Model for a 3D Non-Stationary Geometry Cluster-Based Channel Model for High Speed Trains in MIMO Wireless Channels
    Assiimwe, Eva
    Marye, Yihenew Wondie
    SENSORS, 2022, 22 (24)
  • [34] 3D non-stationary geometry-based multi-input multi-output channel model for UAV-ground communication systems
    Zhu, Qiuming
    Wang, Yawen
    Jiang, Kaili
    Chen, Xiaomin
    Zhong, Weizhi
    Ahmed, Naeem
    IET MICROWAVES ANTENNAS & PROPAGATION, 2019, 13 (08) : 1104 - 1112
  • [35] A Flexible FPGA-Based Channel Emulator for Non-Stationary MIMO Fading Channels
    Zhu, Qiuming
    Huang, Wei
    Mao, Kai
    Zhong, Weizhi
    Hua, Boyu
    Chen, Xiaomin
    Zhao, Zikun
    APPLIED SCIENCES-BASEL, 2020, 10 (12):
  • [36] A Geometry-Based Beamforming Channel Model for UAV mmWave Communications
    Mao, Kai
    Zhu, Qiuming
    Song, Maozhong
    Hua, Boyu
    Zhong, Weizhi
    Ye, Xijuan
    SENSORS, 2020, 20 (23) : 1 - 17
  • [37] Geometry-Based UAV MIMO Channel Modeling and Pattern Optimization for Multimode Antennas
    Johannsen, Nils Lennart
    Almasri, Sami Alkubti
    Hoeher, Peter Adam
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2022, 70 (11) : 11024 - 11032
  • [38] Sparse Channel Estimation for Spatial Non-Stationary Massive MIMO Channels
    Hou, Shuai
    Wang, Yafeng
    Zeng, Tianyi
    Wu, Sheng
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (03) : 681 - 684
  • [39] A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels
    Bai, Lu
    Huang, Ziwei
    Cui, Lizhen
    Feng, Tao
    Cheng, Xiang
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (10) : 7055 - 7069
  • [40] Analytical Non-Stationary Satellite to Aircraft Channel Modeling over Open Area Based on Regular Shaped Geometry-Based Stochastic Model
    Wei, Zaixue
    Tang, Qipeng
    Geng, Jian
    Chen, Sibo
    Sang, Lin
    Yang, Hongwen
    APPLIED SCIENCES-BASEL, 2020, 10 (15):
12345