DocumentCode
2326774
Title
CTH16-4: Accurate Simulation of Piecewise Continuous Arbitrary Nakagami-m Phasor Processes
Author
De Abreu, Giuseppe Thadeu Freitas
Author_Institution
CWC, Univ. of Oulu, Oulu
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
6
Abstract
Accurate simulation of piecewise continuous complex-valued Nakagami-m (phasor) processes with arbitrary parameters is considered. Two solutions to this problem are discussed. The first is based on the extension of an existing decomposition technique to the general case of piecewise continuous complex-valued processes. The second is an entirely novel contribution in which a Nakagami-m process with arbitrary m is obtained from a mixture of a pair of Nakagami-m processes with positive integer and half-integer m, respectively. In deriving the foundations of the new technique, the characteristic function and entropy of Nakagami-m phase processes, the entropy of Nakagami-m envelope processes and the joint (envelope+phase) moment of Nakagami-m phasor processes are all derived in simple closed-forms, and the moment-determinance of Nakagami- m envelope processes is proved. The mixture probabilities used in the proposed random mixture technique, derived from constraints on the Nakagami-m joint-moment, are computed using a simple rational function of m and its closest integer and half integer neighbors to both sides. The remarkable accuracy achieved by the approximation is quantified analytically using the Kullback-Leibler divergence. It is shown that the proposed random mixture method is far superior to the decomposition method in terms of accuracy of envelope and phase pdfs, as well as higher order statistics, with the addition advantage of being less computationally demanding.
Keywords
Nakagami channels; entropy; Kullback-Leibler divergence; Nakagami-m phasor processes; characteristic function; decomposition technique; entropy; random mixture method; Computational complexity; Computational modeling; Entropy; Fading; Gaussian processes; Higher order statistics; Nakagami distribution; Probability density function; Statistical distributions; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.126
Filename
4150756
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