  A novel unified framework of geometry-based stochastic models (GBSMs) 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 (MIMO), high-speed train (HST),
vehicle-to-vehicle (V2V), and millimeter wave (mmWave) communication scenarios.
It is a three-dimensional (3D) non-stationary channel model based on the WINNER
II and Saleh-Valenzuela (SV) 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.
