DocumentCode
1688919
Title
An Analytical Model of the TXOP Scheme with Heterogeneous Classes of Stations
Author
Min, Geyong ; Hu, Jia ; Woodward, Mike E.
Author_Institution
Dept. of Comput., Univ. of Bradford, Bradford
fYear
2008
Firstpage
1
Lastpage
5
Abstract
The enhanced distributed channel access (EDCA) protocol has been proposed to support differentiated quality-of-service (QoS) of wireless local area networks (WLANs). edca introduces a promising scheme, transmission opportunity (TXOP), which enables a station to transmit multiple frames consecutively in a burst upon winning the contention of the channel. The analytical models of the TXOP scheme have been mainly developed under the assumptions that the traffic generated by the stations is saturated or follows a non-bursty Poisson arrival process. These assumptions are unable to capture the characteristics of heterogeneous multimedia traffic. This paper proposes a new analytical model for the TXOP scheme in WLANs comprising heterogeneous classes of stations with multimedia applications. The traffic of such applications is modelled by the non-bursty Poisson, bursty Markov-modulated Poisson process (MMPP), and fractal self-similar traffic. The accuracy of the proposed model is validated through extensive NS-2 simulation experiments.
Keywords
Markov processes; access protocols; multimedia communication; quality of service; wireless LAN; NS-2 simulation; TXOP scheme; analytical model; bursty Markov-modulated Poisson process; enhanced distributed channel access protocol; fractal self-similar traffic; heterogeneous multimedia traffic; multiple frame transmission; nonbursty Poisson arrival process; quality-of-service; transmission opportunity; wireless local area networks; Access protocols; Analytical models; Counting circuits; Delay; Fractals; Media Access Protocol; Telecommunication traffic; Traffic control; Wireless LAN; Wireless application protocol;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.942
Filename
4698717
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