The Gauss–Poisson Process for Wireless Networks and the Benefits of Cooperation

Volume: 64, Issue: 5, Pages: 1916 - 1929
Published: May 1, 2016
Abstract
Gauss-Poisson processes (GPPs) are a class of clustered point processes, which include the Poisson point process as a special case and have a simpler structure than the general Poisson cluster point processes. A key property of the GPP is that it is completely defined by its first- and second-order statistics. In this paper, we first show the properties of the GPP and provide an approach to fit the GPP to a given point set. A fitting example is...
Paper Details
Title
The Gauss–Poisson Process for Wireless Networks and the Benefits of Cooperation
Published Date
May 1, 2016
Volume
64
Issue
5
Pages
1916 - 1929
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