Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/32300
Title: A Cross-Layer Adaptive Algorithm for Multimedia QoS Fairness in WLAN Environments Using Neural Networks
Authors: 國立臺灣師範大學電機工程學系
Chiapin Wang
Tsungnan Lin
Jiann-Liang Chen
Issue Date: 1-Oct-2007
Publisher: Institution of Engineering and Technology
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.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/32300
ISSN: 1751-8628�
Other Identifiers: ntnulib_tp_E0612_01_002
Appears in Collections:教師著作

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