Distance Distribution of Bivariate Poisson Network Nodes

被引：8

作者：

Babaei, Alireza ^{[1
]}

Jabbari, Bijan ^{[2
]}

机构：

[1] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA

[2] George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USA

来源：

IEEE COMMUNICATIONS LETTERS | 2010年 / 14卷 / 09期

关键词：

Bivariate Poisson; spatial point processes; internodal distances; random networks; interference;

D O I：

10.1109/LCOMM.2010.080610.100668

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we obtain the distribution of the distances between an arbitrary point and its dissimilar neighboring points in a spatial bivariate Poisson point process. We derive closed-form solutions for the real moments of the inter-nodal distances for two special cases in which there is either strong or weak correlation between the number of points in a region. This point process can be used to model heterogeneous random networks. In particular, we discuss some applications of the obtained results in cognitive wireless networks.

引用

页码：848 / 850

页数：3

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