On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective

This paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated tra...

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Main Authors: Massimiliano Laddomada, Fabio Mesiti
Format: Article
Language:English
Published: Hindawi Limited 2010-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2010/397824
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spelling doaj-27d22cb615c14d16ac44c5535a5bdb6c2020-11-24T22:32:39ZengHindawi LimitedInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/397824397824On the Optimization of the IEEE 802.11 DCF: A Cross-Layer PerspectiveMassimiliano Laddomada0Fabio Mesiti1Electrical Engineering Department, Texas A&M University-Texarkana, Texarkana, TX 75505, USADELEN, Politecnico di Torino, 10129 Torino, ItalyThis paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated traffic in the presence of transmission channel errors, as exemplified by the packet error rate 𝑃𝑒. The main clue of this work stems from the relation that links the aggregate throughput of the network to the packet rate 𝜆 of the contending stations. In particular, we show that the aggregate throughput 𝑆(𝜆) presents two clearly distinct operating regions that depend on the actual value of the packet rate 𝜆 with respect to a critical value 𝜆𝑐, theoretically derived in this work. The behavior of 𝑆(𝜆) paves the way to a cross-layer optimization algorithm, which proved to be effective for maximizing the aggregate throughput in a variety of network operating conditions. A nice consequence of the proposed optimization framework relies on the fact that the aggregate throughput can be predicted quite accurately with a simple, yet effective, closed-form expression. Finally, theoretical and simulation results are presented in order to unveil, as well as verify, the key ideas.http://dx.doi.org/10.1155/2010/397824
collection DOAJ
language English
format Article
sources DOAJ
author Massimiliano Laddomada
Fabio Mesiti
spellingShingle Massimiliano Laddomada
Fabio Mesiti
On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
International Journal of Digital Multimedia Broadcasting
author_facet Massimiliano Laddomada
Fabio Mesiti
author_sort Massimiliano Laddomada
title On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
title_short On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
title_full On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
title_fullStr On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
title_full_unstemmed On the Optimization of the IEEE 802.11 DCF: A Cross-Layer Perspective
title_sort on the optimization of the ieee 802.11 dcf: a cross-layer perspective
publisher Hindawi Limited
series International Journal of Digital Multimedia Broadcasting
issn 1687-7578
1687-7586
publishDate 2010-01-01
description This paper is focused on the problem of optimizing the aggregate throughput of the distributed coordination function (DCF) employing the basic access mechanism at the data link layer of IEEE 802.11 protocols. We consider general operating conditions accounting for both nonsaturated and saturated traffic in the presence of transmission channel errors, as exemplified by the packet error rate 𝑃𝑒. The main clue of this work stems from the relation that links the aggregate throughput of the network to the packet rate 𝜆 of the contending stations. In particular, we show that the aggregate throughput 𝑆(𝜆) presents two clearly distinct operating regions that depend on the actual value of the packet rate 𝜆 with respect to a critical value 𝜆𝑐, theoretically derived in this work. The behavior of 𝑆(𝜆) paves the way to a cross-layer optimization algorithm, which proved to be effective for maximizing the aggregate throughput in a variety of network operating conditions. A nice consequence of the proposed optimization framework relies on the fact that the aggregate throughput can be predicted quite accurately with a simple, yet effective, closed-form expression. Finally, theoretical and simulation results are presented in order to unveil, as well as verify, the key ideas.
url http://dx.doi.org/10.1155/2010/397824
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