From all the available models for non-Gaussian impulsive interference, algebraic-tailed
distributions present perhaps the most desirable characteristics in terms of both fidelity and …

Impulsive or heavy-tailed processes with infinite variance appear naturally in a variety of
practical problems that include wireless communications, teletraffic, hydrology, geology, and …

This paper addresses non-Gaussian statistical modeling of interference as a superposition
of a large number of small effects from terminals/scatterers distributed in the plane/volume …

In this thesis, $\alpha $-stable distributions are used to model non-Gaussian phenomena. To
justify the applicability of additive stable noise models to a large class of communication …

We address the problem of estimation of the parameters of the recently proposed symmetric,
alpha-stable model for impulsive interference. We propose new estimators based on …

This paper deals with the synthesis and the analysis of optimum receivers to detect one out
of M equally likely, equi-energy, fading signals in impulsive noise, modelled as a compound …

Sums of lognormal random variables occur extensively in wireless communications, in part,
because a shadowing environment is well modeled by a lognormal distribution. A closed …

Because communications systems are seldom significantly interfered with by classical white
Gaussian noise, it is necessary to consider other, appropriate (and tractable) interference …

There has been great interest in symmetric/spl alpha/-stable distributions which have proved
to be very good models for impulsive noise. However, most of the classical non-Gaussian …

This article studies the scaling limit of a class of shot-noise fields defined on an
independently marked stationary Poisson point process and with a power law response …