Search results for "Coverage probability"

showing 5 items of 5 documents

Cell Association With Load Balancing in Nonuniform Heterogeneous Cellular Networks: Coverage Probability and Rate Analysis

2017

To meet the ever-growing traffic demand and address the cell capacity shortage problem, associating end users to various tiers of cells in a multitier cellular network appears to be a promising approach. In this paper, we consider a nonuniform heterogeneous cellular network (NuHCN) and propose a cell association scheme that selectively mutes certain small-cell base stations (BSs) and covers end users by cell range extension (via cell biasing) for achieving load balancing. The envisaged NuHCN is comprised of two tiers of BSs, i.e., macro- and small-cell BSs, deployed according to three independent homogeneous Poisson point processes for BSs and end users, respectively. Accordingly, the avail…

Computer Networks and Communicationsbusiness.industryComputer scienceCoverage probabilityAerospace Engineering020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyLoad balancing (computing)Load managementBase station0203 mechanical engineeringAutomotive Engineering0202 electrical engineering electronic engineering information engineeringCellular networkMicrocellMacrocellElectrical and Electronic EngineeringbusinessComputer networkIEEE Transactions on Vehicular Technology
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Comparison of the Andersen–Gill model with poisson and negative binomial regression on recurrent event data

2008

Many generalizations of the Cox proportional hazard method have been elaborated to analyse recurrent event data. The Andersen-Gill model was proposed to handle event data following Poisson processes. This method is compared with non-survival approaches, such as Poisson and negative binomial regression. The comparison is performed on data simulated according to various event-generating processes and differing in subject heterogeneity. When robust standard error estimates are applied, for Poisson processes the Andersen-Gill approach is comparable to a negative binomial regression, whereas the poisson regression has comparable coverage probabilities of confidence intervals, but increased type …

Statistics and ProbabilityApplied MathematicsPoisson binomial distributionCoverage probabilityNegative binomial distributionRegression analysisPoisson distributionComputational Mathematicssymbols.namesakeComputational Theory and MathematicsStatisticsEconometricssymbolsZero-inflated modelPoisson regressionMathematicsCount dataComputational Statistics & Data Analysis
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Influence of the simultaneous calibration of multiple ring dosimeters on the individual absorbed dose

2021

Abstract Ring dosimeters for personal dosimetry are calibrated in accredited laboratories following ISO 4037-3 guidelines. The simultaneous irradiation of multiple dosimeters would save time, but has to be carefully studied, since the scattering conditions could change and influence the absorbed dose in nearby dosimeters. Monte Carlo simulations using PENELOPE-2014 were performed to explore the need to increase the uncertainty of H p 0 .07 in the simultaneous irradiation of three and five DXT-RAD 707H-2 (Thermo Scientific) ring dosimeters with beam qualities: N-30, N-80 and N-300. Results show that the absorbed dose in each dosimeter is compatible with each of the others and with the refere…

Materials scienceDosimeterRadiation Dosimetersbusiness.industryMonte Carlo methodPublic Health Environmental and Occupational HealthCoverage probabilityGeneral Medicine030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptics030220 oncology & carcinogenesisAbsorbed doseCalibrationCalibrationDosimetryComputer SimulationIrradiationRadiometryCalibration ISO 4037 Monte Carlo Personal dosimetry Ring dosimetersbusinessMonte Carlo MethodWaste Management and DisposalBeam (structure)Journal of Radiological Protection
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Analysis of load balancing and interference management in heterogeneous cellular networks

2017

To meet the current cellular capacity demands, proactive offloading is required in heterogeneous cellular networks (HetCNets) comprising of different tiers of base stations (BSs), e.g., small-cell BSs (sBSs) and conventional macro-cell BSs (mBSs). Each tier differs from the others in terms of BS transmit power, spatial density, and association bias. Consequently, the coverage range of each tier BSs is also different from others. Due to low transmit power, a fewer number of users are associated to an sBS as compared with mBS. Thus, inefficient utilization of small-cell resources occurs. To balance the load across the network, it is necessary to push users to the underloaded small cells from …

Heterogeneous cellular networksGeneral Computer ScienceComputer science02 engineering and technologyselective sBS deploymentFrequency allocationBase stationLoad managementsmall-cell BSs0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringreverse frequency allocationGeneral Materials ScienceNetwork performanceuser ratebusiness.industrycoverage probabilityGeneral Engineering020302 automobile design & engineering020206 networking & telecommunicationsLoad balancing (computing)Transmitter power outputCellular networklcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971Computer network
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Estimating adjusted NNT measures in logistic regression analysis

2007

The number needed to treat (NNT) is a popular measure to describe the absolute effect of a new treatment compared with a standard treatment or placebo in clinical trials with binary outcome. For use of NNT measures in epidemiology to compare exposed and unexposed subjects, the terms 'number needed to be exposed' (NNE) and 'exposure impact number' (EIN) have been proposed. Additionally, in the framework of logistic regression a method was derived to perform point and interval estimation of NNT measures with adjustment for confounding by using the adjusted odds ratio (OR approach). In this paper, a new method is proposed which is based upon the average risk difference over the observed confou…

MaleStatistics and ProbabilityBiometryEpidemiologyInterval estimationCoverage probabilityCoronary DiseaseLogistic regressionCohort StudiesBiasRisk FactorsStatisticsConfidence IntervalsOdds RatioHumansMedicineClinical Trials as Topicbusiness.industrySmokingConfoundingConfounding Factors EpidemiologicOdds ratioConfidence intervalLogistic ModelsNumber needed to treatbusinessCohort studyStatistics in Medicine
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