On the Aggregate Interference in Random CSMA/CA Networks: A Stochastic Geometry Approach
Abstract
In this paper, we investigate the cumulative distribution function (CDF) of the aggregate interference in carrier sensing multiple access/collision avoidance (CSMA/CA) networks measured at an arbitrary time and position. We assume that nodes are deployed in an infinite two-dimensional plane by Poisson point process (PPP) and the channel model follows the singular path loss function and Rayleigh fading. To find the effective active node density we analyze the distributed coordinate function (DCF) dynamics in a common sensing area and obtain the steady-state power distribution within a spatial disk of radius , where is the effective carrier sensing distance. The results of massive simulation using Network Simulator-2 (NS-2) show a high correlation with the derived CDF.
Keywords
Cite
@article{arxiv.1211.7139,
title = {On the Aggregate Interference in Random CSMA/CA Networks: A Stochastic Geometry Approach},
author = {June Hwang and Jinho Choi and Riku Jantti and Seong-Lyun Kim},
journal= {arXiv preprint arXiv:1211.7139},
year = {2015}
}
Comments
This paper has been withdrawn by the author due to some errors in proof