DocumentCode :
2481
Title :
Statistical Characterization of \\kappa { - }\\mu Shadowed Fading
Author :
Paris, Jose F.
Author_Institution :
Dept. of Commun. Eng., Univ. of Malaga, Málaga, Spain
Volume :
63
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
518
Lastpage :
526
Abstract :
This paper investigates a natural generalization of the κ - μ fading channel in which the line-of-sight (LOS) component is subject to shadowing. This fading distribution has a clear physical interpretation and good analytical properties and unifies the one-side Gaussian, Rayleigh, Nakagami- m, Rician, κ - μ, and Rician shadow fading distributions. The three basic statistical characterizations, i.e., probability density function (pdf), cumulative distribution function (cdf), and moment-generating function (mgf), of the κ - μ shadowed distribution are obtained in closed form. Then, it is also shown that the sum and maximum distributions of independent but arbitrarily distributed κ - μ shadowed variates can be expressed in closed form. This set of new statistical results is finally applied to modeling and analysis of several wireless communication systems, e.g., the proposed distribution has applications to land mobile satellite (LMS) communications and underwater acoustic communications (UAC).
Keywords :
Gaussian channels; Nakagami channels; Rayleigh channels; fading channels; radio networks; statistical analysis; Gaussian; LMS communications; LOS component; Nakagami- m, Rician; Rayleigh; Rician shadow fading distributions; UAC; cumulative distribution function; fading channel; fading distribution; land mobile satellite; line-of-sight component; probability density function; shadowed fading; statistical characterization; statistical characterizations; underwater acoustic communications; wireless communication systems; Analytical models; Random variables; Rayleigh channels; Rician channels; Shadow mapping; Wireless communication; $kappa{ - }mu$; Fading channels; Nakagami- $m$; Rayleigh; Rician; Rician shadowed; land mobile satellite (LMS); one-side Gaussian; underwater acoustic communications (UAC); wireless communications;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2013.2281213
Filename :
6594884
Link To Document :
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