In this paper, a novel reduced complexity statistical models for the representation of wide sense stationary-uncorrelated scattering directional wireless channels affected by Rayleigh fading are developed. Their derivation is based on the so-called Gaussian quadrature rule approach illustrated by E. Chiavaccini and G. M. Vitetta (June 2001) for non directional channels. Numerical results evidence, that the proposed models provide a simple and accurate stochastic representation of directional fading channels.
GQR models for directional wireless channels / Fregni, Lodovico; Muratori, Fabrizio; Greco, Paola; Vitetta, Giorgio Matteo; Pancaldi, Fabrizio. - STAMPA. - 3:(2003), pp. 1237-1241. (Intervento presentato al convegno IEEE Global Telecommunications Conference GLOBECOM'03 tenutosi a San Francisco, CA, usa nel 1-5 Dec., 2003) [10.1109/GLOCOM.2003.1258436].
GQR models for directional wireless channels
FREGNI, Lodovico;MURATORI, Fabrizio;GRECO, paola;VITETTA, Giorgio Matteo;PANCALDI, Fabrizio
2003
Abstract
In this paper, a novel reduced complexity statistical models for the representation of wide sense stationary-uncorrelated scattering directional wireless channels affected by Rayleigh fading are developed. Their derivation is based on the so-called Gaussian quadrature rule approach illustrated by E. Chiavaccini and G. M. Vitetta (June 2001) for non directional channels. Numerical results evidence, that the proposed models provide a simple and accurate stochastic representation of directional fading channels.
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