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Modeling teletraffic arrivals by a Poisson cluster process [PDF]

open access: yesQueueing Systems, 2006
The infinite source Poisson model for modeling teletraffic arrivals is considered. This model is also referred to as Poisson cluster process or branching Poisson process. We recall that the Poisson cluster process is obtained by marking the Poisson point \(\Gamma_{j}\) by the pair (\(K_{j}, (X_{ji}, i \geq 1\))).
Gennady Samorodnitsky   +2 more
exaly   +6 more sources

Cluster point processes and Poisson thinning INARMA [PDF]

open access: yesStochastic Processes and their Applications, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zezhun Chen, Angelos Dassios
core   +5 more sources

Large Deviations of Poisson Cluster Processes [PDF]

open access: yesStochastic Models, 2007
25 ...
Charles Bordenave   +1 more
exaly   +5 more sources

User rate and power optimization for HetNets under Poisson cluster process [PDF]

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
Heterogeneous cellular networks (HetNets) consist of different tiers of base stations (BSs) to meet the ever-increasing mobile traffic demand. Due to the random deployment of BSs, Poisson point process (PPP) is often used to model the BS distribution ...
Xinqi Jiang, Fu-Chun Zheng
doaj   +2 more sources

Disparities in Antiemetic Prophylaxis Care Processes Predicted by Patient Neighborhood: Retrospective Cohort and Geospatial Analysis [PDF]

open access: yesJMIR Public Health and Surveillance
BackgroundSocial determinants of health continue to drive persistent disparities in perioperative care. Our team has previously demonstrated racial and socioeconomic disparities in perioperative processes, notably in the administration of antiemetic ...
Jiuying Han   +10 more
doaj   +2 more sources

Modeling Scheme of Multi-Layer Heterogeneous Network for Dense Hotspot Area [PDF]

open access: yesJisuanji gongcheng, 2021
To address the heterogeneity in Base Station(BS) deployment and the coupling between User Equipment (UE) and BS in the hotspot communication scenario of the fifth-generation(5G)/beyond 5G(B5G) networks,this paper proposes a three-layer heterogeneous ...
Lü Yaping, JIA Xiangdong, CHEN Yuwan, LU Yi
doaj   +1 more source

Spectrum Analysis of Millimeter Wave Heterogeneous Network Based on Poisson Cluster Process [PDF]

open access: yesJisuanji gongcheng, 2020
To address the problem of describing the correlation between User Equipment(UE) and base station space in large-scale hot spot communication scenarios,this paper constructs a millimeter wave heterogeneous network model based on Poisson Cluster Process ...
CHEN Yuwan, JIA Xiangdong, JI Pengshan, Lü Yaping
doaj   +1 more source

Spatial-Temporal Rainfall Models Based On Poisson Cluster Processes [PDF]

open access: yesStochastic Environmental Research and Risk Assessment, 2021
Abstract We fit stochastic spatial-temporal models to high-resolution rainfall radar data using Approximate Bayesian Computation (ABC). As a baseline we fit a model of Cox, Isham and Northrop, which we then generalise in a variety of ways. Of central importance is the use of ABC, as it is not possible to fit models of this complexity using ...
Nanda R. Aryal, Owen D. Jones
openaire   +2 more sources

Multi-UAV Assisted Multi-Tier Millimeter-Wave Cellular Networks for Hotspots With 2-Tier and 4-Tier Network Association

open access: yesIEEE Access, 2020
The evolution of the fifth-generation (5G)/ beyond 5G (B5G) mobile communication networks greatly depends on the seamless integration of terrestrial and sky networks over advanced multi-tier heterogeneous network (HetNet) infrastructure.
Pengshan Ji   +4 more
doaj   +1 more source

Comparisons of statistical distributions for cluster sizes in a developing pandemic

open access: yesBMC Medical Research Methodology, 2022
Background We consider cluster size data of SARS-CoV-2 transmissions for a number of different settings from recently published data. The statistical characteristics of superspreading events are commonly described by fitting a negative binomial ...
M. J. Faddy, A. N. Pettitt
doaj   +1 more source

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