A non-stationary IMT-advanced MIMO channel model for high-mobility wireless communication systems

Ammar Ghazal, Yi Yuan, Cheng Xiang Wang, Yan Zhang, Qi Yao, Hongrui Zhou, Weiming Duan

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

With the recent developments of high-mobility wireless communication systems, e.g., high-speed train (HST) and vehicle-to-vehicle communication systems, the ability of conventional stationary channel models to mimic the underlying channel characteristics has widely been challenged. Measurements have demonstrated that the current standardized channel models, like IMT-Advanced (IMT-A) and WINNER II channel models, offer stationary intervals that are noticeably longer than those in measured HST channels. In this paper, we propose a non-stationary channel model with time-varying parameters, including the number of clusters, the powers, and the delays of the clusters, the angles of departure, and the angles of arrival. Based on the proposed non-stationary IMT-A channel model, important statistical properties, i.e., the local spatial cross-correlation function and local temporal autocorrelation function are derived and analyzed. Simulation results demonstrate that the statistical properties vary with time due to the non-stationarity of the proposed channel model. An excellent agreement is achieved between the stationary interval of the developed non-stationary IMT-A channel model and that of relevant HST measurement data, demonstrating the utility of the proposed channel model.

Original languageEnglish
Article number7744678
Pages (from-to)2057-2068
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume16
Issue number4
Early online date15 Nov 2016
DOIs
Publication statusPublished - Apr 2017

Keywords

  • IMT-advanced
  • MIMO
  • non-stationary
  • statistical properties
  • time-varying parameters

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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