A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning

dc.contributor 國立臺灣師範大學電機工程學系 zh_tw
dc.contributor.author Chiapin Wang en_US
dc.contributor.author Po-Chiang Lin en_US
dc.contributor.author Tsungnan Lin en_US
dc.date.accessioned 2014-10-30T09:28:48Z
dc.date.available 2014-10-30T09:28:48Z
dc.date.issued 2006-11-01 zh_TW
dc.description.abstract In this letter, we propose a cross-layer adaptation scheme which improves IEEE 802.11e quality of service (QoS) by online adapting multidimensional medium access control (MAC)-layer parameters depending on the application-layer QoS requirements and physical layer (PHY) channel conditions. Our solution is based on an optimization approach which utilizes neural networks (NNs) to learn the cross-layer function. Simulations results demonstrate the effectiveness of our adaptation scheme en_US
dc.description.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4012048 zh_TW
dc.identifier ntnulib_tp_E0612_01_001 zh_TW
dc.identifier.issn 1045-9227� zh_TW
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32299
dc.language en zh_TW
dc.publisher IEEE Computational Intelligence Society en_US
dc.relation IEEE Transactions on Neural Networks, 17(6), 1661-1665. en_US
dc.subject.other Adaptive algorithm en_US
dc.subject.other IEEE 802.11e wireless local area networks (WLAN) en_US
dc.subject.other neural networks (NNs) en_US
dc.subject.other quality of service (QoS). en_US
dc.title A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning en_US