On the Aggregate Interference in Random CSMA/CA Networks: A Stochastic Geometry Approach
Provides a theoretical framework for interference modeling in CSMA/CA networks, relevant for wireless network analysis and design.
The paper derives the cumulative distribution function of aggregate interference in random CSMA/CA networks using stochastic geometry, validated by NS-2 simulations showing high correlation.
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 $R/2$, where $R$ 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.