A Novel Approach to Mitigate the Intensity Underestimation Problem Of Classical MHCPP in 5G Small Cell Networks

Stochastic Geometry is an important tool to model and analyze 5G small cell networks. Most of the network models suffer from intensity underestimation problem as Matérn's hard core point process (MHCPP) fails to capture the true intensity of the simultaneously active small cells in a given regi...

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Bibliographic Details
Published in2020 8th International Electrical Engineering Congress (iEECON) pp. 1 - 4
Main Authors Shelim, Rashed, Arnob, Shadman Sakib, Shovon, Iftekharul Islam, Khan, Adiba Sumaiya, Rafi, Md. Shariyar Kabir, Islam, Saima
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2020
Subjects
5G small cells
displacement theorem
intensity underestimation
Matérn's hard-core point process
stochastic geometry
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Summary:Stochastic Geometry is an important tool to model and analyze 5G small cell networks. Most of the network models suffer from intensity underestimation problem as Matérn's hard core point process (MHCPP) fails to capture the true intensity of the simultaneously active small cells in a given region. In this paper, we propose a novel model called Displaced Offspring Hard Core Point Process (DO-HCPP) by applying displacement theorem to shift the discs through a predefined angle in an iterative manner to obtain the maximum achievable intensity in a given region. Simulation results show that the intensity is much higher for our proposed model compared to traditional MHCPP.
DOI:10.1109/iEECON48109.2020.229580