Title :
GQR-based models for directional wireless channels
Author :
Pancaldi, Fabrizio ; Greco, Paola ; Vitetta, Giorgio M.
Author_Institution :
Dept. of Inf. Eng., Modena Univ., Italy
fDate :
3/1/2006 12:00:00 AM
Abstract :
In this paper novel reduced complexity statistical models for the representation of directional wireless channels affected by Rayleigh fading are developed. Their derivation is based on the evaluation of Fourier integrals by means of Gaussian quadrature rules (GQRs). The proposed models represent a communication channel as a tapped-angle and -delay line with non uniform spacing between successive taps. The application of the GQR approach to three different scenarios is also illustrated. Numerical results evidence that these models can provide a simple and accurate stochastic representation of directional fading channels.
Keywords :
Fourier analysis; Gaussian processes; Rayleigh channels; computational complexity; statistical analysis; Fourier integrals; Gaussian quadrature rules; Rayleigh fading channels; complexity statistical model reduction; directional wireless channels; nonuniform spacing; stochastic representation; Communication channels; Fading; Geometry; Linear systems; MIMO; Power system modeling; Rayleigh channels; Solid modeling; Stochastic processes; Stochastic systems;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2006.1611094