A universal approach to coverage probability and throughput analysis for cellular networks [PDF]
This paper proposes a novel tractable approach for accurately analyzing both the coverage probability and the achievable throughput of cellular networks.
Chen, Sheng +4 more
core +2 more sources
Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series. [PDF]
Pang J, Liu D, Peng Y, Peng X.
europepmc +2 more sources
Impact of 3D Antenna Radiation Pattern on Heterogeneous Cellular Networks
Heterogeneous cellular networks (HCNs) play a significant role in 5G networks, but have mainly been modeled and analyzed on a two-dimensional (2D) plane.
Mengxin Zhou, Chen Chen, Xiaoli Chu
doaj +1 more source
Coverage Probability of 3-D Mobile UAV Networks [PDF]
In this paper, we consider a network of multiple unmanned aerial vehicles (UAVs) where a given number of UAVs are placed at three-dimensional (3D) locations in a finite circular disk shaped region to serve a reference ground user equipment (UE) located at its center.
Pankaj K. Sharma, Dong In Kim
openaire +2 more sources
Confidence intervals for the coefficient of variation and the difference between coefficients of variation of inverse-gamma distributions [PDF]
The aim of this study is to establish new confidence intervals for the single coefficient of variation of an inversegamma distribution using Bayesian methods based on the Jeffreys, reference, and uniform priors and compare them with the Wald method. The
Theerapong Kaewprasert +2 more
doaj +1 more source
Jackknife Empirical Likelihood Inference for the Variance Residual Life Function
In life testing situations, the residual life time of a component which has survived t units of time is Xt = X −t|X > t. In this paper, we give a central limit theorem result for the estimator of Var(Xt), the variance residual life(VRL) function.
Vali Zardasht
doaj +1 more source
Bayesian and Non-Bayesian Interval Estimators for the Poisson Mean
Seventeen different confidence intervals for the Poisson mean are compared using simulations and a real data application. The interval estimators include the Wald interval estimator, the score interval estimator, the exact interval estimator, the ...
S. Nadarajah
doaj +1 more source
Characterizing The SINR in Poisson Network Using Factorial Moment [PDF]
Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the ...
Moubachir Madani Fadoul +2 more
doaj +1 more source
Coverage probability bias, objective Bayes and the likelihood principle [PDF]
We review objective Bayes procedures based on both parametric and predictive coverage probability bias and explore the extent to which such procedures contravene the likelihood principle in the case of a scalar parameter.
Sweeting, TJ
core +1 more source
Coverage probability of uplink cellular networks [PDF]
The cellular uplink has typically been studied using simple Wyner-type analytical models where interference is modeled as a constant or a single random variable, or via complex system-level simulations for a given set of parameters, which are often insufficient to evaluate performance in all operational regimes.
Harpreet S. Dhillon +2 more
openaire +1 more source

