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

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