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

Shangbin Wu, Cheng-Xiang Wang, El Hadi M. Aggoune, Mohammed M. Alwakeel, Xiao-Hu You

Research output: Contribution to journalArticlepeer-review

248 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)3065-3078
Number of pages14
JournalIEEE Transactions on Communications
Issue number7
Early online date4 Dec 2017
Publication statusPublished - Jul 2018


  • 3D non-stationary 5G wireless channel models
  • 5G mobile communication
  • Antenna arrays
  • Channel models
  • Fading channels
  • high-speed train communications
  • massive MIMO systems
  • MIMO
  • mmWave communications
  • Three-dimensional displays
  • V2V communications
  • Wireless communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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