A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers

Ji Bian, Yu Liu, Cheng-Xiang Wang, Jian Sun, Wensheng Zhang, Minggao Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most channel models in the literature assume that the scatterers are fixed and the mobile station (MS) moves with a constant speed in a given direction. However, in realistic propagation environments, both the scatterers and the MS can be moving, and the velocities of the scatterers and the MS can change with time. In this paper, we develop a non-stationary multiple-input multiple-output (MIMO) channel model for street corner scenarios. The proposed channel model takes into account both fixed and moving scatterers. Velocity variations, including speed and movement direction, of the MS and moving scatterers are considered. Analytical solutions of spatial cross-correlation function (CCF), temporal autocorrelation function (ACF), and Wigner-Ville spectrum are derived and analyzed. Moreover, the impacts of velocity variations on the statistical properties of the proposed model are investigated. The proposed channel model is illuminating for future vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) channel modeling.

Original languageEnglish
Title of host publication2017 IEEE/CIC International Conference on Communications in China (ICCC)
PublisherIEEE
ISBN (Electronic)9781538645024
DOIs
Publication statusPublished - 5 Apr 2018

Fingerprint

Autocorrelation

Keywords

  • Non-stationary MIMO channel model
  • statistical properties
  • street corner scenarios
  • time-variant parameters
  • velocity variations

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Cite this

Bian, J., Liu, Y., Wang, C-X., Sun, J., Zhang, W., & Zhang, M. (2018). A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers. In 2017 IEEE/CIC International Conference on Communications in China (ICCC) [8330450] IEEE. https://doi.org/10.1109/ICCChina.2017.8330450
Bian, Ji ; Liu, Yu ; Wang, Cheng-Xiang ; Sun, Jian ; Zhang, Wensheng ; Zhang, Minggao. / A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers. 2017 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2018.
@inproceedings{c2614b0bd6444a58a4c7967cdf59aeb8,
title = "A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers",
abstract = "Most channel models in the literature assume that the scatterers are fixed and the mobile station (MS) moves with a constant speed in a given direction. However, in realistic propagation environments, both the scatterers and the MS can be moving, and the velocities of the scatterers and the MS can change with time. In this paper, we develop a non-stationary multiple-input multiple-output (MIMO) channel model for street corner scenarios. The proposed channel model takes into account both fixed and moving scatterers. Velocity variations, including speed and movement direction, of the MS and moving scatterers are considered. Analytical solutions of spatial cross-correlation function (CCF), temporal autocorrelation function (ACF), and Wigner-Ville spectrum are derived and analyzed. Moreover, the impacts of velocity variations on the statistical properties of the proposed model are investigated. The proposed channel model is illuminating for future vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) channel modeling.",
keywords = "Non-stationary MIMO channel model, statistical properties, street corner scenarios, time-variant parameters, velocity variations",
author = "Ji Bian and Yu Liu and Cheng-Xiang Wang and Jian Sun and Wensheng Zhang and Minggao Zhang",
year = "2018",
month = "4",
day = "5",
doi = "10.1109/ICCChina.2017.8330450",
language = "English",
booktitle = "2017 IEEE/CIC International Conference on Communications in China (ICCC)",
publisher = "IEEE",
address = "United States",

}

Bian, J, Liu, Y, Wang, C-X, Sun, J, Zhang, W & Zhang, M 2018, A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers. in 2017 IEEE/CIC International Conference on Communications in China (ICCC)., 8330450, IEEE. https://doi.org/10.1109/ICCChina.2017.8330450

A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers. / Bian, Ji; Liu, Yu; Wang, Cheng-Xiang; Sun, Jian; Zhang, Wensheng; Zhang, Minggao.

2017 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2018. 8330450.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers

AU - Bian, Ji

AU - Liu, Yu

AU - Wang, Cheng-Xiang

AU - Sun, Jian

AU - Zhang, Wensheng

AU - Zhang, Minggao

PY - 2018/4/5

Y1 - 2018/4/5

N2 - Most channel models in the literature assume that the scatterers are fixed and the mobile station (MS) moves with a constant speed in a given direction. However, in realistic propagation environments, both the scatterers and the MS can be moving, and the velocities of the scatterers and the MS can change with time. In this paper, we develop a non-stationary multiple-input multiple-output (MIMO) channel model for street corner scenarios. The proposed channel model takes into account both fixed and moving scatterers. Velocity variations, including speed and movement direction, of the MS and moving scatterers are considered. Analytical solutions of spatial cross-correlation function (CCF), temporal autocorrelation function (ACF), and Wigner-Ville spectrum are derived and analyzed. Moreover, the impacts of velocity variations on the statistical properties of the proposed model are investigated. The proposed channel model is illuminating for future vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) channel modeling.

AB - Most channel models in the literature assume that the scatterers are fixed and the mobile station (MS) moves with a constant speed in a given direction. However, in realistic propagation environments, both the scatterers and the MS can be moving, and the velocities of the scatterers and the MS can change with time. In this paper, we develop a non-stationary multiple-input multiple-output (MIMO) channel model for street corner scenarios. The proposed channel model takes into account both fixed and moving scatterers. Velocity variations, including speed and movement direction, of the MS and moving scatterers are considered. Analytical solutions of spatial cross-correlation function (CCF), temporal autocorrelation function (ACF), and Wigner-Ville spectrum are derived and analyzed. Moreover, the impacts of velocity variations on the statistical properties of the proposed model are investigated. The proposed channel model is illuminating for future vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) channel modeling.

KW - Non-stationary MIMO channel model

KW - statistical properties

KW - street corner scenarios

KW - time-variant parameters

KW - velocity variations

UR - http://www.scopus.com/inward/record.url?scp=85049693540&partnerID=8YFLogxK

U2 - 10.1109/ICCChina.2017.8330450

DO - 10.1109/ICCChina.2017.8330450

M3 - Conference contribution

BT - 2017 IEEE/CIC International Conference on Communications in China (ICCC)

PB - IEEE

ER -

Bian J, Liu Y, Wang C-X, Sun J, Zhang W, Zhang M. A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers. In 2017 IEEE/CIC International Conference on Communications in China (ICCC). IEEE. 2018. 8330450 https://doi.org/10.1109/ICCChina.2017.8330450