Understanding Wireless Mobile Systems: A Simplified Simulation Approach

Abstract

Simulation is a widely used technique in understanding and analyzing the properties and behavior of wireless networks. Simulation models abound in the wireless domain. Most of these models suffer from an abundance of parameters. Different models might use different parameters. Moreover, even for common parameters, there are no universally accepted standard values. This makes the task of analyzing simulation results a complicated one.

We propose a framework to address this problem. One component of our framework is based on the reduction of the vast parameter space to a smaller, more compact one that encompasses only a few essential parameters. These parameters try to aggregate other parameters and hide the specifics of the underlying system, thereby easing the task of evaluating simulation results.

The other component is based on a novel concept called steady state utilization which tries to capture the inherent capacity of a network. Using steady state utilization as the maximum potential capacity (without loss) of a network, we show how it can be used in the task of comparing results from different simulation models.

This research is partially supported by funds from the Johnson Family Chair.