Joint evolutionary spectrum and autoregressive-based approach to modeling non-stationary flat fading channels

Qing Wang; Dapeng Wu; Pingyi Fan

doi:10.1002/wcm.2201

Joint evolutionary spectrum and autoregressive-based approach to modeling non-stationary flat fading channels

Qing Wang, Dapeng Wu, Pingyi Fan

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

Abstract

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. 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.

Original language	English
Pages (from-to)	472-486
Journal	Wireless Communications and Mobile Computing
Volume	14
Issue number	4
DOIs	https://doi.org/10.1002/wcm.2201
Publication status	Published - Mar 2014
Externally published	Yes

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Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

AR model
channel modeling
evolutionary spectrum
non-stationary fading

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title = "Joint evolutionary spectrum and autoregressive-based approach to modeling non-stationary flat fading channels",

abstract = "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 {\textcopyright} 2012 John Wiley & Sons, Ltd. 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 {\textcopyright} 2012 John Wiley & Sons, Ltd.",

keywords = "AR model, channel modeling, evolutionary spectrum, non-stationary fading",

author = "Qing Wang and Dapeng Wu and Pingyi Fan",

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AU - Wu, Dapeng

AU - Fan, Pingyi

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PY - 2014/3

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N2 - 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. 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.

AB - 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. 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.

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DO - 10.1002/wcm.2201

M3 - RGC 21 - Publication in refereed journal

SN - 1530-8669

VL - 14

SP - 472

EP - 486

JO - Wireless Communications and Mobile Computing

JF - Wireless Communications and Mobile Computing

IS - 4

ER -

Joint evolutionary spectrum and autoregressive-based approach to modeling non-stationary flat fading channels

Abstract

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Research Keywords

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