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

• Published in: IEEE transactions on communications Vol. 66; no. 7; pp. 3065 - 3078
• Main Authors: Wu, Shangbin, Wang, Cheng-Xiang, Aggoune, el-Hadi M., Alwakeel, Mohammed M., You, Xiaohu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D non-stationary 5G wireless channel models; 5G mobile communication; Antenna arrays; Channel models; Communication channels; Distribution channels; Fading; Fading channels; High speed rail; high-speed train communications; massive MIMO systems; Millimeter waves; MIMO; mmWave communications; Scale (ratio); Three dimensional models; Three-dimensional displays; v2V communications; Wireless communication; Wireless communication systems; Wireless communications
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2017.2779128

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.