Generalised Clarke model for mobile-radio reception

Abstract

Clarke's classical model of mobile radio reception assumes isotropic rich scattering around the mobile receiver antenna. The assumption of isotropic scattering is valid only in limited circumstances. In this contribution we develop a generalized Clarke model, which is applicable to mobile radio reception in general scattering environments. We give expressions for the autocorrelation and power spectral density (PSD) of the channel fading process and demonstrate the generality of the model by applying it to different non-isotropic scattering scenarios. Using the generalized model, we analyze the effect of mobile direction of travel and the non-isotropicity on the statistics of the channel fading process. We also show that if the mobile direction of travel is equiprobable in all directions, a non-isotropic scattering environment on average is as good as an isotropic scattering environment.

Wigner-Ville distribution of a type of non-stationary mobile Rayleigh fading channels

“…We consider a downlink mobile communications scenario in which the transmitter is stationary while, at time t, the receiver equipped with an omni-directional antenna moving with initial velocity v and constant acceleration 2 α at angle ψ with respect to x-axis in a sufficiently rich 2D general scattering environment 3 [15] (Fig. 1).…”

“…where (22) is the result of the assumption of statistically homogeneous scattering, Ψ(β) is the azimuth power distribution (APD) [15] defined as…”

“…The representation of these periodic functions by their respective Fourier series would result in their Fourier series coefficients to be convoluted [15]. By following the approach adopted in [15], the ACF for DWVD can be written as…”

“…Let us consider the following DTFT relationship for the Bessel function of the first kind of integer order μ [15,27] …”

Novel channel covariance matrix feedback strategy in coordinated multicell MISO networks

“…Instead, we need to consider the spatial channel correlation at both the transmitter and the receiver. The second-order statistical information of the multi-antenna channel can be represented by the channel covariance matrix, and various stochastic models have been well established in the literature [6], [7].…”