Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/32308
Title: A Neural Network Based Adaptive Algorithm for Multimedia Quality Fairness in WLAN Environments
Authors: 國立臺灣師範大學電機工程學系
Chiapin Wang
Tsungnan Lin
Issue Date: 12-Jul-2006
Abstract: This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using fixed MAC arguments for nodes in heterogeneous channel conditions leads to unequal throughput performance and that may incur the degradation of multimedia QoS. To overcome the unfairness problem for provisioning QoS, we propose a cross-layer adaptation scheme by on-line adapting the multidimensional MAC-layer backoff parameters depending on the application-layer QoS requirements and PHY-layer channel conditions. Our solution is based on an optimization approach which utilizes neural networks to learn the cross-layer function. Simulation results demonstrate that our adaptive scheme can tackle a variety of channel condition to provide fair throughput for nodes in heterogeneous channel conditions
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/32308
Other Identifiers: ntnulib_tp_E0612_02_003
Appears in Collections:教師著作

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