Abstract

The main contribution of this work is to compare and enhance known methods for performance analysis of the IEEE 802.11e MAC layer, such as the use of Markov chains, queuing theory, and probabilistic analysis. It is the first paper that bases its outputs upon comparison of metrics such as complexity, flexibility, and accuracy, leading to the novel use of a metamodeling comparison. For the analysis, complexity theory and theL-square distance method for accuracy are used. In addition, the proposed analyses carry by themselves scientific interest, because they are extended enhancements with the latest EDCA parameters. A form of the PMF of the MAC delay and first-order moments are found using the PGF complex frequency domain function. The analyses incorporate a Gaussian erroneous channel in order to reflect the real conditions of the MAC layer.

Highlights

  • The wide deployment of WLANs has set an increased pace for extensive scientific studies of the IEEE 802.11 standard [1]

  • The core 802.11e standard proposes a new hybrid coordination function (HCF), which has the HCF controlled channel access (HCCA) and the enhanced distributed coordination access (EDCA) mechanisms, capable of offering access according to specific QoS features

  • The discrete time Markov chains (DTMC) model offers better results, owing to the fact that more EDCA characteristics can be included. This leads to another advantage of the DTMC model which is its flexibility

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Summary

Introduction

The wide deployment of WLANs has set an increased pace for extensive scientific studies of the IEEE 802.11 standard [1]. Heterogeneous multimedia applications require advanced editing over the standard, so as to accomplish specific QoS characteristics [2]. Accomplishing such QoS features will make capable transmission of video and voice over new 3G-WLANs [3]. A typical literature search demonstrates a number of performance analyses for the legacy IEEE 802.11 and 802.11e [4,5,6,7] or similar enhancements [8], which incorporate discrete time Markov chains (DTMC) Other models, such as [9,10,11], use alternative methods of analysis

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