Title :
Sum-of-Sinusoids-Based Simulation of Flat Fading Wireless Propagation Channels Under Non-Isotropic Scattering Conditions
Author :
Gutiérrez-Díaz-de-León, Carlos A. ; Pätzold, Matthias
Author_Institution :
Agder Univ. Coll., Grimstad
Abstract :
This paper presents a modified version of the method of equal areas (MEA) for designing simulation models for frequency non-selective mobile fading channels under non- isotropic scattering conditions. The proposed method, called modified MEA (MMEA), is well suited for channel simulators based on a finite sum of complex sinusoids. The combination of the MMEA with the principle of set partitioning is also proposed here as an efficient way to improve the performance of the simulator and to reduce the computational costs. Such a combination results in a new parameter computation method called MMEA with set partitioning (MMEA-SP). The MMEA and the MMEA-SP are quite general and can be applied on any given distribution of the angle of arrival (AOA). However, to exemplify the good performance of both methods, it is assumed that the AOA follows the von Mises distribution. The obtained results demonstrate that the two proposed methods approximate the autocorrelation function (ACF) of non-isotropic scattering channels with high precision.
Keywords :
electromagnetic wave scattering; fading channels; mobile radio; set theory; angle-of-arrival; autocorrelation function; channel simulators; complex sinusoids; finite sum; flat fading wireless propagation channels; frequency nonselective mobile fading channels; method of equal areas; nonisotropic scattering conditions; set partitioning; sum-of-sinusoids-based simulation; von Mises distribution; Autocorrelation; Computational efficiency; Computational modeling; Educational institutions; Fading; Frequency; Gaussian channels; Gaussian processes; Scattering parameters; Stress;
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
DOI :
10.1109/GLOCOM.2007.730