A cross-layer adaptive algorithm for multimedia QoS fairness in WLAN environments using neural networks

C. Wang, T. Lin, J. L. Chen

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The authors address the problem of providing fair multimedia quality-of-service (QoS) in IEEE 802.11 distributed co-ordination function-based wireless local area networks in the infrastructure mode where mobile hosts experience heterogeneous channel conditions due to mobility and fading effects. It was observed that unequal link qualities can pose significant unfairness of channel sharing, which may thereby lead to the degradation of multimedia QoS performed in adverse conditions. A cross-layer adaptation scheme that provides fair QoS by online adjusting the multidimensional medium access control layer backoff parameters in accordance with the application-layer QoS requirements as well as the physical-layer channel conditions was proposed. The solution is based on an optimisation approach, which utilises neural networks to learn the cross-layer function. Simulation results demonstrate that the proposed adaptation scheme can tackle heterogeneous channel conditions and random joining (or leaving) of hosts to achieve fair QoS in terms of throughput and packet delay.

Original languageEnglish
Pages (from-to)858-865
Number of pages8
JournalIET Communications
Volume1
Issue number5
DOIs
Publication statusPublished - 2007 Nov 5

Fingerprint

Adaptive algorithms
Wireless local area networks (WLAN)
Quality of service
Neural networks
Medium access control
Joining
Throughput
Degradation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

A cross-layer adaptive algorithm for multimedia QoS fairness in WLAN environments using neural networks. / Wang, C.; Lin, T.; Chen, J. L.

In: IET Communications, Vol. 1, No. 5, 05.11.2007, p. 858-865.

Research output: Contribution to journalArticle

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