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.authorChiapin Wangen_US
dc.contributor.authorPo-Chiang Linen_US
dc.contributor.authorTsungnan Linen_US
dc.date.accessioned2014-10-30T09:28:48Z
dc.date.available2014-10-30T09:28:48Z
dc.date.issued2006-11-01zh_TW
dc.description.abstractIn 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 schemeen_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4012048zh_TW
dc.identifierntnulib_tp_E0612_01_001zh_TW
dc.identifier.issn1045-9227�zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32299
dc.languageenzh_TW
dc.publisherIEEE Computational Intelligence Societyen_US
dc.relationIEEE Transactions on Neural Networks, 17(6), 1661-1665.en_US
dc.subject.otherAdaptive algorithmen_US
dc.subject.otherIEEE 802.11e wireless local area networks (WLAN)en_US
dc.subject.otherneural networks (NNs)en_US
dc.subject.otherquality of service (QoS).en_US
dc.titleA Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learningen_US

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