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 |