Abstract—In this paper we propose a new composite fading model which assumes that the mean signal power of an η−µ sig-nal envelope follows an inverse gamma distribution. The inverse gamma distribution has a simple relationship with the gamma distribution and can be used to model shadowed fading due to its semi heavy-tailed characteristics. To demonstrate the utility of the new η−µ / inverse gamma composite fading model, we investigate the characteristics of the shadowed fading behavior observed in body centric communications channels which are known to be susceptible to shadowing effects, particularly generated by the human body. It is shown that the η−µ / inverse gamma composite fading model provided an excellent fit to the measurement dat...
In this paper, we extensively investigate the way in which κ - μ fading channels can be impacted by ...
The ergodic capacity of fading channels modeled with a κ-μ shadowed distribution is investigated to ...
In this letter, the performance of an energy detection (ED) is analyzed over different composite gen...
\ua9 2015 IEEE. In this paper we propose a new composite fading model which assumes that the mean si...
\ua9 2015 IEEE. Statistical distributions have been extensively used in modeling fading effects in c...
Abstract—Statistical distributions have been extensively used in modeling fading effects in conventi...
This paper investigates the characteristics of the shadowed fading observed in off-body communicatio...
We introduce a general approach to characterize composite fading models based on inverse gamma (IG) ...
This paper investigates the characteristics of the shadowed fading observed in off-body communicatio...
In this paper, we introduce a new fading model which is capable of characterizing both the shadowing...
The aim of this work is the proposition of the κ-μ/Inverse Gaussian distribution which corresponds t...
Properly modeling the shadowing effects during wireless transmissions is crucial to perform the netw...
Abstract: In this paper, the composite Rayleigh-Gamma and Nakagami-Gamma distributions are considere...
How to model shadow fading by applying the inverse gamma (IGA) distribution has recently gained wide...
We propose maximum likelihood (ML) methods for estimating the parameters of composite gamma-lognorma...
In this paper, we extensively investigate the way in which κ - μ fading channels can be impacted by ...
The ergodic capacity of fading channels modeled with a κ-μ shadowed distribution is investigated to ...
In this letter, the performance of an energy detection (ED) is analyzed over different composite gen...
\ua9 2015 IEEE. In this paper we propose a new composite fading model which assumes that the mean si...
\ua9 2015 IEEE. Statistical distributions have been extensively used in modeling fading effects in c...
Abstract—Statistical distributions have been extensively used in modeling fading effects in conventi...
This paper investigates the characteristics of the shadowed fading observed in off-body communicatio...
We introduce a general approach to characterize composite fading models based on inverse gamma (IG) ...
This paper investigates the characteristics of the shadowed fading observed in off-body communicatio...
In this paper, we introduce a new fading model which is capable of characterizing both the shadowing...
The aim of this work is the proposition of the κ-μ/Inverse Gaussian distribution which corresponds t...
Properly modeling the shadowing effects during wireless transmissions is crucial to perform the netw...
Abstract: In this paper, the composite Rayleigh-Gamma and Nakagami-Gamma distributions are considere...
How to model shadow fading by applying the inverse gamma (IGA) distribution has recently gained wide...
We propose maximum likelihood (ML) methods for estimating the parameters of composite gamma-lognorma...
In this paper, we extensively investigate the way in which κ - μ fading channels can be impacted by ...
The ergodic capacity of fading channels modeled with a κ-μ shadowed distribution is investigated to ...
In this letter, the performance of an energy detection (ED) is analyzed over different composite gen...