On the Aggregate Interference in Random CSMA/CA Networks: A Stochastic Geometry Approach

TL;DR

This paper models the aggregate interference in CSMA/CA networks using stochastic geometry, deriving the interference distribution considering node deployment, channel effects, and node activity, validated by simulations.

Contribution

It introduces a stochastic geometry framework to analyze the interference distribution in CSMA/CA networks, accounting for node activity and channel effects.

Findings

Derived the CDF of aggregate interference in CSMA/CA networks.

Validated the analytical results with NS-2 simulations.

Provided insights into interference behavior in large-scale networks.

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 $R/2$, 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.