Paper Info
Title
A Non-Stationary IMT-Advanced MIMO Channel Model for High-Mobility Wireless Communication Systems
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.
Year
DOI
Venue
2017
10.1109/TWC.2016.2628795
IEEE Trans. Wireless Communications
Keywords
Field
DocType
Channel models,Wireless communication,MIMO,Delays,Mathematical model,Wireless sensor networks,Stochastic processes
Wireless,IMT Advanced,Communication channel,Communications system,MIMO,Stochastic process,Computer network,Wireless sensor network,Mathematics,Autocorrelation
Journal
Volume
Issue
ISSN
16
4
1536-1276
Citations 
PageRank 
References 
5
0.44
0
Authors
7
Name
Order
Citations
PageRank
Ammar Ghazal1544.89
Yi Yuan250.44
Cheng-Xiang Wang323517.72
Yan Zhang43611.36
Qi Yao560.80
Hongrui Zhou650.78
Weiming Duan7212.70