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Matern cluster process with holes at the cluster centers

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STATISTICS & PROBABILITY LETTERS
卷 204, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.spl.2023.109931

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Stochastic geometry; Matern cluster process; Poisson hole process; Biological nanonetworks; Wireless networks

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This paper presents a novel variant of a Matern cluster process for biological nanonetworks. The researchers characterize the conditional distribution of the cluster process and compare the characteristics in three-dimensional space and two-dimensional space.
Inspired by recent applications of point processes to biological nanonetworks, this paper presents a novel variant of a Matern cluster process (MCP) in which the points located within a certain distance from the cluster centers are removed. We term this new process the MCP with holes at the cluster center (MCP-H, in short). Focusing on the three-dimensional (3D) space, we first characterize the conditional distribution of the distance between an arbitrary point of a given cluster to the origin, conditioned on the location of that cluster, for both MCP and MCP-H. These distributions are shown to admit remarkably simple closed forms in the 3D space, which is not even possible in the simpler two-dimensional (2D) case. Using these distributions, the contact distance distribution and the probability generating functional (PGFL) are characterized for both MCP and MCP-H.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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