abstract

• In mobile radio channel modelling, it is generally assumed that the angles of arrival (AOAs) are independent of time. This assumption does in general not agree with real-world channels in which the AOAs vary with the position of a moving receiver. In this paper, we first present a mathematical model for the time-variant AOAs. This model serves as the basis for the development of two non-stationary multipath fading channels models. The statistical properties of both channel models are analysed with emphasis on the time-dependent autocorrelation function (ACF), time-dependent mean Doppler shift, time-dependent Doppler spread, and the Wigner-Ville spectrum. It is shown that these characteristic quantities are greatly influenced by time-variant AOAs. The presented analytical framework provides a new view on the channel characteristics that goes well beyond ultra-short observation intervals over which the channel can be considered as wide-sense stationary. © 2017 IEEE.

authors

• Gutiérrez C.A.
• Pätzold M.

publication date

• 2017-01-01

published in

• IEEE Vehicular Technology Conference  Journal

keywords

• Autocorrelation; Fading (radio); Fading channels; Multipath fading; Multipath propagation; Time varying networks; Autocorrelation functions; Channel characteristics; Mobile radio channel modelling; Modelling and analysis; Observation interval; Statistical properties; Wide-sense stationaries; Wigner-Ville spectrum; Direction of arrival

Digital Object Identifier (DOI)

• 10.1109/VTCSpring.2017.8108201

start page

end page

volume

• 2017-June