Statistical Characterization of \kappa\mu Shadowed Fading

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, Ricia...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 63; H. 2; S. 518 - 526
1. Verfasser: Paris, Jose F.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.02.2014
Institute of Electrical and Electronics Engineers
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ISSN:0018-9545, 1939-9359
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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).
AbstractList 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).
This paper investigates a natural generalization of the Kappa - mu 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, Kappa - mu , 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 Kappa - mu shadowed distribution are obtained in closed form. Then, it is also shown that the sum and maximum distributions of independent but arbitrarily distributed Kappa - mu 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).
Author Paris, Jose F.
Author_xml – sequence: 1
  givenname: Jose F.
  surname: Paris
  fullname: Paris, Jose F.
  email: paris@ic.uma.es
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Issue 2
Keywords Acoustic communication
wireless communications
Line of sight propagation
Rician shadowed
one-side Gaussian
underwater acoustic communications (UAC)
Wireless telecommunication
Satellite telecommunication
Rice fading
Shadow
Satellite
Rician
Nakagami-m
Kappa mu distribution
Modeling
Probability density function
Distribution function
Submarine telecommunication
Rayleigh
Fading channels
Mobile radiocommunication
Generating function
Land mobile radio
Statistical method
κ—μ
Telecommunication system
Mobile satellite communication
land mobile satellite (LMS)
Underwater acoustics
Shadowing
Least mean squares methods
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Snippet 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...
This paper investigates a natural generalization of the Kappa - mu fading channel in which the line-of-sight (LOS) component is subject to shadowing. This...
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SubjectTerms Analytical models
Applied sciences
Channels
Communication satellites
Equipments and installations
Exact sciences and technology
Exact solutions
Fading
Fading channels
Gaussian
kappa{ - }\mu
land mobile satellite (LMS)
Mathematical analysis
Mobile radiocommunication systems
Nakagami- m
one-side Gaussian
Probability density functions
Radiocommunications
Random variables
Rayleigh
Rayleigh channels
Rician
Rician channels
Rician shadowed
Satellite telecommunications. Space telecommunications
Shadow mapping
Shadows
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
underwater acoustic communications (UAC)
Wireless communication
wireless communications
Title Statistical Characterization of \kappa\mu Shadowed Fading
URI https://ieeexplore.ieee.org/document/6594884
https://www.proquest.com/docview/1520944301
https://www.proquest.com/docview/1730066509
Volume 63
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