Petar C. Spalevic

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This paper studies the performances of a dual-branch switched-and-stay combining (SSC) diversity receiver, operating over correlated α-μ fading in the presence of cochannel interference (CCI). Very useful, novel, infinite series expressions are obtained for the output signal to interference ratio’s (SIR’s) probability density function (PDF) and cumulative(More)
In this paper an approach to the second order statistics analysis of macrodiversity system operating over the Gamma shadowed Rayleigh fading channels is presented. Simultaneous influence of multipath fading and shadowing is allievated through the usage of macrodiversity system. We have considered SC (selection combining) macrodiversity system consisting of(More)
In this paper, we present novel closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of ratio of random variable and product of two random variables for the cases where random variables are Rayleigh, Weibull, Nakagami-m and α-μ distributed. An application of obtained results in performance analysis of(More)
In this article, we investigate a two-hop relaying communication where all nodes are equipped with antenna arrays. We derive the multiple-input multiple-output (MIMO) processing matrices using the mean-squared-error cost function and assuming that each node uses only locally available channel state information estimates. Spatial processing at the base(More)
In this paper, closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the signal-to-interference ratio (SIR) at the output of triple selection combining (SC) receiver over correlated Weibull fading channels are obtained. These expressions are used to study important system performance criteria such(More)
The distributions of random variables are of interest in many areas of science. In this paper, the probability density function PDF and cumulative distribution function CDF of ratio of products of two random variables and random variable are derived. Random variables are described with Rayleigh, Nakagami-m, Weibull, and α-μ distributions. An application of(More)