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39
N*Nakagami: A novel stochastic model for cascaded fading channels
 IEEE Trans. on Commun
, 2007
"... Abstract — A generic and novel distribution, referred to as N∗Nakagami, constructed as the product of N statistically independent, but not necessarily identically distributed, Nakagamim random variables (RVs), is introduced and analyzed. The proposed distribution turns out to be a very convenient ..."
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Abstract — A generic and novel distribution, referred to as N∗Nakagami, constructed as the product of N statistically independent, but not necessarily identically distributed, Nakagamim random variables (RVs), is introduced and analyzed. The proposed distribution turns out to be a very convenient tool for modelling cascaded Nakagamim fading channels and analyzing the performance of digital communications systems operating over such channels. The momentsgenerating, probability density, cumulative distribution, and moments functions of the N∗Nakagami distribution are developed in closed form using the Meijer’s Gfunction. Using these formulae generic closedform expressions for the outage probability, amount of fading, and average error probabilities for several binary and multilevel modulation signals of digital communication systems operating over the N∗Nakagami fading and the additive white Gaussian noise channel are presented. Complementary numerical and computer simulation performance evaluation results verify the correctness of the proposed formulation. The suitability of the N∗Nakagami fading distribution to approximate the lognormal distribution is also being investigated. Using KolmogorovSmirnov tests, the rate of convergence of the central limit theorem as pertaining to the multiplication of Nakagamim RVs is quantified. Index Terms — Cascaded fading, bit error rate (BER), outage probability (OP), Nakagamim, lognormal fading, central limit theorem (CLT), multipleinput multipleoutput (MIMO), keyhole channels, KolmogorovSmirnov test, applied stochastic models. I.
Diversity reception over generalizedK (KG) fading channels
 IEEE Trans. Wirel. Commun
, 2007
"... Abstract — A detailed performance analysis for the most important diversity receivers operating over a composite fading channel modeled by the GeneralizedK (KG) distribution is presented. The KG distribution has been recently considered as a generic and versatile distribution for the accurate mode ..."
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Abstract — A detailed performance analysis for the most important diversity receivers operating over a composite fading channel modeled by the GeneralizedK (KG) distribution is presented. The KG distribution has been recently considered as a generic and versatile distribution for the accurate modeling of a great variety of short term fading in conjunction with long term fading (shadowing) channel conditions. For this relatively new composite fading model, expressions for important statistical metrics of maximal ratio combining (MRC), equal gain combining (EGC), selection combining (SC) and switch and stay combining (SSC) diversity receivers are derived. Using these expressions and by considering independent but not necessarily identical distributed fading channel conditions, performance criteria, such as average output signaltonoise ratio, amount of fading and outage probability are obtained in closed form. Moreover, following the moments generating function (MGF) based approach for MRC and SSC receivers, and the Pade ́ approximants method for SC and EGC receivers, the average bit error probability is studied. The proposed mathematical analysis is complemented by various performance evaluation results which demonstrate the accuracy of the theoretical approach. Index Terms — GeneralizedK distribution, multipath/shadow fading, bit error probability (BEP), outage probability, maximal ratio combining (MRC), equal gain combining (EGC), selection combining (SC), switch and stay combining (SSC). I.
Optimal power allocation for outage probability minimization in fading channels with energy harvesting constraints
 IEEE Trans. Wireless Commun. Available [Online]: arXiv:1212.0075
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Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements
, 2012
"... Abstract—For several years, wireless communication systems have been developed for train to infrastructure communication needs related to railway or mass transit applications. The systems should be able to operate in specific environments, such as tunnels. In this context, specific radio planning to ..."
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Cited by 5 (2 self)
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Abstract—For several years, wireless communication systems have been developed for train to infrastructure communication needs related to railway or mass transit applications. The systems should be able to operate in specific environments, such as tunnels. In this context, specific radio planning tools have to be developed to optimize system deployment. Realistic tunnels geometries are generally of rectangular cross section or arched shape. Furthermore, they are mostly curved. In order to calculate electromagnetic wave propagation in such tunnels, specific models have to be developed. Several works have dealt with retransmission of GSM or UMTS [1], [2]. Few theoretical or experimental works have focused on 2.4 GHz or 5.8 GHz bands [3]. In this paper, we propose an approach to model radio wave propagation in these frequency bands in arched shape cross section straight tunnels using tessellation in multifacets. The model is based on a RayTracing tool using the image method. The work reported in this paper shows the propagation loss variations according to the shape of tunnels. A parametric study on the facets size to model the cross section is conducted. The influence of tunnel dimensions and signal frequency is examined. Finally, some measurement results in an arched cross section straight tunnel are presented and analyzed in terms of slow fadings and fast fadings. Index Terms—Radio wave propagation, Arched shape tunnels, Ray tracing, tessellation, Efield measurements. I.
Accelerometer assisted robust wireless signal positioning based on a hidden Markov model
 In Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS
, 2010
"... All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Weibullgamma composite distribution: alternative multipath/shadowing fading model
 Electronics Letters
, 2009
"... Abstract chars 3 Text chars 35 References 8 8 The WeibullGamma (WG) distribution, which is appropriate for modelling fading environments when multipath is superimposed on shadowing, is introduced and studied. For this composite distribution the probability density, cumulative distribution, charact ..."
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Abstract chars 3 Text chars 35 References 8 8 The WeibullGamma (WG) distribution, which is appropriate for modelling fading environments when multipath is superimposed on shadowing, is introduced and studied. For this composite distribution the probability density, cumulative distribution, characteristic functions and the moments are derived in closed form. Furthermore, the average bit error and outage probabilities of a receiver operating over WG fading channels are assessed and compared with the corresponding performances obtained using other composite distributions. Figures
The Trivariate Weibull Distribution with Arbitrary Correlation
, 2006
"... In this paper an anlytical framework for analyzing the arbitrarily correlated trivariate Weibull distribution is introduced. For this distribution infinite series representations for the joint probability density function, the cumulative distribution function (CDF) and the moments are derived. Two s ..."
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In this paper an anlytical framework for analyzing the arbitrarily correlated trivariate Weibull distribution is introduced. For this distribution infinite series representations for the joint probability density function, the cumulative distribution function (CDF) and the moments are derived. Two special correlation cases of the distribution are studied: the exponential and the constant. These series representations are readily applicable to the performance analysis of a 3branch selection combining (SC) receiver operating in a Weibull correlation fading environment and the outage probability is derived. The proposed mathematical analysis is complemented by various numerical results, showing the effects of fading severity, correlation and the power decay factor.
Triplebranch MRC Diversity in Weibull Fading Channels
"... Abstract In this paper a performance analysis of triplebranch maximal ratio combining (MRC) diversity receivers operating over an arbitrarily correlated Weibull fading environment is presented. For the trivariate Weibull distribution infinite series representations for the joint probability densi ..."
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Abstract In this paper a performance analysis of triplebranch maximal ratio combining (MRC) diversity receivers operating over an arbitrarily correlated Weibull fading environment is presented. For the trivariate Weibull distribution infinite series representations for the joint probability density function (PDF) and the cumulative distribution function (CDF) are derived. Moreover, a novel analytical expression for the joint momentgenerating function (MGF) is presented. It is assumed that the arbitrarily correlated variates do not necessarily have identical fading parameters and average powers. These series representations are readily applicable to the performance analysis of a triplebranch MRC receiver. Furthermore, the average bit error probability (ABEP) is then derived and analytically studied. The proposed mathematical analysis is accompanied by various numerical results, with parameters of interest the fading severity, the correlation and the power decay factor. key words: Triplebranch diversity, arbitrary correlation, maximalratio combining (MRC), Weibull fading. 1.
On Convexity of Error Rates in Digital Communications
 AVAILABLE AT HTTP://ARXIV.ORG/ABS/1304.8102). 2013 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY45
, 2013
"... Convexity properties of error rates of a class of decoders, including the maximumlikelihood/mindistance one as a special case, are studied for arbitrary constellations, bit mapping, and coding. Earlier results obtained for the additive white Gaussian noise channel are extended to a wide class of n ..."
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Convexity properties of error rates of a class of decoders, including the maximumlikelihood/mindistance one as a special case, are studied for arbitrary constellations, bit mapping, and coding. Earlier results obtained for the additive white Gaussian noise channel are extended to a wide class of noise densities, including unimodal and spherically invariant noise. Under these broad conditions, symbol and bit error rates are shown to be convex functions of the signaltonoise ratio (SNR) in the highSNR regime with an explicitly determined threshold, which depends only on the constellation dimensionality and minimum distance, thus enabling an application of the powerful tools of convex optimization to such digital communication systems in a rigorous way. It is the decreasing nature of the noise power density around the decision region boundaries that ensures the convexity of symbol error rates in the general case. The known high/lowSNR bounds of the convexity/concavity regions are tightened and no further improvement is shown to be possible in general. The highSNR bound fits closely into the channel coding theorem: all codes, including capacityachieving ones, whose decision regions include the hardened noise spheres (from the noise sphere hardening argument in the channel coding theorem), satisfy this highSNR requirement and thus has convex error rates in both SNR and noise power. We conjecture that all capacityachieving codes have convex error rates. Convexity properties in signal amplitude and noise power are also investigated. Some applications of the results are discussed. In particular, it is shown that fading is convexitypreserving and is never good in low dimensions under spherically invariant noise, which may also include any linear diversity combining.
Products and Ratios of Two Gaussian Class Correlated Weibull Random Variables
"... Abstract. Starting from on a recently introduced Gaussian class bivariate Weibull stochastic model, the probability density and the cumulative distribution functions of the product (Z1 Z2) c and the ratio (Z1/Z2) c, when Z1 and Z2 are correlated Weibull random variables belonging to this class (c> ..."
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Abstract. Starting from on a recently introduced Gaussian class bivariate Weibull stochastic model, the probability density and the cumulative distribution functions of the product (Z1 Z2) c and the ratio (Z1/Z2) c, when Z1 and Z2 are correlated Weibull random variables belonging to this class (c> 0), are derived in closed form. Moreover, using the inequality between arithmetic and geometric mean, a union upper bound for the distribution of the sum of two correlated Weibull variates Zc1 + Z c 2 is also presented. Special cases of our results are in agreement with previously published ones. The proposed analysis is useful in several scientific fields of engineering.