In this paper novel reduced complexity statisticalmodels for the representation of wide sense stationary–uncorrelated scattering directional wireless channels affected byRayleigh fading are developed. Their derivation is based on theso-called Gaussian quadrature rule approach illustrated in [1] fornon directional channels. Numerical results evidence that theproposed models can provide a simple and accurate stochasticrepresentation of directional fading channels.
GQR models for directional wireless channels / L., Fregni; F., Muratori; P., Greco; Vitetta, Giorgio Matteo; Pancaldi, Fabrizio. - ELETTRONICO. - 1:(2004), pp. 284-289. (Intervento presentato al convegno Wireless Communications and Networking Conference, 2004 (WCNC 2004) tenutosi a Atlanta, GA, usa nel 21-25 March 2004) [10.1109/wcnc.2004.1311558].
GQR models for directional wireless channels
VITETTA, Giorgio Matteo;PANCALDI, Fabrizio
2004
Abstract
In this paper novel reduced complexity statisticalmodels for the representation of wide sense stationary–uncorrelated scattering directional wireless channels affected byRayleigh fading are developed. Their derivation is based on theso-called Gaussian quadrature rule approach illustrated in [1] fornon directional channels. Numerical results evidence that theproposed models can provide a simple and accurate stochasticrepresentation of directional fading channels.
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