Open AccessJoint evolutionary spectrum and autoregressive‐based approach to modeling non‐stationary flat fading channels
Author(s) -
Wang Qing,
Wu Dapeng,
Fan Pingyi
Publication year - 2014
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1002/wcm.2201
Subject(s) - fading , autoregressive model , computer science , joint (building) , spectrum (functional analysis) , fading distribution , telecommunications , algorithm , channel (broadcasting) , statistical physics , statistics , mathematics , physics , rayleigh fading , architectural engineering , engineering , quantum mechanics
Modeling of wireless channels, especially non‐stationary fading channels, is important for design and performance analysis of wireless communication systems. Recently, we proposed a new approach to modeling non‐stationary fading channels, based on the theory of evolutionary spectrum (ES). In this paper, we develop a time‐varying autoregressive (AR) model for a non‐stationary flat fading channel; specifically, we develop a method to determine the time‐varying coefficients of the AR channel model, given the ES of a non‐stationary process. Furthermore, with the ES theory, we develop a trace‐driven time‐varying AR channel simulator to generate a non‐stationary flat fading process. Simulation results show that the ES of the channel gain process produced by our joint ES‐and‐AR‐based channel model agrees well with the user‐specified ES, indicating the accuracy of our joint ES‐and‐AR‐based channel model. Copyright © 2012 John Wiley & Sons, Ltd.