Mobile ATM Buffer Capacity Analysis

TL;DR

This paper develops a stochastic model for buffer fill distribution in mobile environments, incorporating mobility parameters and link probabilities, and validates the model through simulation comparisons.

Contribution

It introduces a novel analysis method that integrates mobile parameters into buffer fill distribution modeling for ATM networks.

Findings

Analytic model matches simulation results well.

Mobile parameters significantly affect buffer fill distribution.

Model provides insights for capacity planning in mobile ATM networks.

Abstract

This paper extends a stochastic theory for buffer fill distribution for multiple ``on'' and ``off'' sources to a mobile environment. Queue fill distribution is described by a set of differential equations assuming sources alternate asynchronously between exponentially distributed periods in ``on'' and ``off'' states. This paper includes the probabilities that mobile sources have links to a given queue. The sources represent mobile user nodes, and the queue represents the capacity of a switch. This paper presents a method of analysis which uses mobile parameters such as speed, call rates per unit area, cell area, and call duration and determines queue fill distribution at the ATM cell level. The analytic results are compared with simulation results.