A General 3-D Non-Stationary 5G Wireless Channel Model

被引:227
|
作者
Wu, Shangbin [1 ]
Wang, Cheng-Xiang [2 ,3 ]
Aggoune, el-Hadi M. [4 ]
Alwakeel, Mohammed M. [4 ]
You, Xiaohu [2 ]
机构
[1] Samsung Res & Dev Inst, Staines TW18 4QE, England
[2] Southeast Univ, Mobile Commun Res Lab, Nanjing 211189, Jiangsu, Peoples R China
[3] Heriot Watt Univ, Sch Engn & Phys Sci, Inst Sensors Signals & Syst, Edinburgh EH14 4AS, Midlothian, Scotland
[4] Univ Tabuk, Sensor Networks & Cellular Syst Res Ctr, Tabuk 473154031, Saudi Arabia
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
3D non-stationary 5G wireless channel models; massive MIMO systems; mmWave communications; high-speed train communications; V2V communications; MASSIVE MIMO; STOCHASTIC-MODELS; COMMUNICATION; ARCHITECTURE;
D O I
10.1109/TCOMM.2017.2779128
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel unified framework of geometry-based stochastic models for the fifth generation (5G) wireless communication systems is proposed in this paper. The proposed general 5G channel model aims at capturing small-scale fading channel characteristics of key 5G communication scenarios, such as massive multiple-input multiple-output, high-speed train, vehicle-to-vehicle, and millimeter wave communications. It is a 3-D non-stationary channel model based on the WINNER II and Saleh-Valenzuela channel models considering array-time cluster evolution. Moreover, it can easily be reduced to various simplified channel models by properly adjusting model parameters. Statistical properties of the proposed general 5G small-scale fading channel model are investigated to demonstrate its capability of capturing channel characteristics of various scenarios, with excellent fitting to some corresponding channel measurements.
引用
收藏
页码:3065 / 3078
页数:14
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