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 journalArticle

Abstract

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
Volume66
Issue number7
Early online date4 Dec 2017
DOIs
Publication statusPublished - Jul 2018

Fingerprint

Fading channels
Communication
Stochastic models
Millimeter waves
Communication systems
Geometry

Keywords

  • 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

Cite this

Wu, Shangbin ; Wang, Cheng-Xiang ; Aggoune, El Hadi M. ; Alwakeel, Mohammed M. ; You, Xiao-Hu. / A General 3D Non-Stationary 5G Wireless Channel Model. In: IEEE Transactions on Communications. 2018 ; Vol. 66, No. 7. pp. 3065-3078.
@article{bda01456ff964ba19c3249d6fa5d00a1,
title = "A General 3D Non-Stationary 5G Wireless Channel Model",
abstract = "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.",
keywords = "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",
author = "Shangbin Wu and Cheng-Xiang Wang and Aggoune, {El Hadi M.} and Alwakeel, {Mohammed M.} and Xiao-Hu You",
year = "2018",
month = "7",
doi = "10.1109/TCOMM.2017.2779128",
language = "English",
volume = "66",
pages = "3065--3078",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "IEEE",
number = "7",

}

A General 3D Non-Stationary 5G Wireless Channel Model. / Wu, Shangbin; Wang, Cheng-Xiang; Aggoune, El Hadi M.; Alwakeel, Mohammed M.; You, Xiao-Hu.

In: IEEE Transactions on Communications, Vol. 66, No. 7, 07.2018, p. 3065-3078.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A General 3D Non-Stationary 5G Wireless Channel Model

AU - Wu, Shangbin

AU - Wang, Cheng-Xiang

AU - Aggoune, El Hadi M.

AU - Alwakeel, Mohammed M.

AU - You, Xiao-Hu

PY - 2018/7

Y1 - 2018/7

N2 - 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.

AB - 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.

KW - 3D non-stationary 5G wireless channel models

KW - 5G mobile communication

KW - Antenna arrays

KW - Channel models

KW - Fading channels

KW - high-speed train communications

KW - massive MIMO systems

KW - MIMO

KW - mmWave communications

KW - Three-dimensional displays

KW - V2V communications

KW - Wireless communication

UR - http://www.scopus.com/inward/record.url?scp=85037649677&partnerID=8YFLogxK

U2 - 10.1109/TCOMM.2017.2779128

DO - 10.1109/TCOMM.2017.2779128

M3 - Article

VL - 66

SP - 3065

EP - 3078

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

SN - 0090-6778

IS - 7

ER -