國立臺灣師範大學電機工程學系Chiapin WangPo-Chiang LinTsungnan Lin2014-10-302014-10-302006-11-011045-9227�http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32299In 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 schemeAdaptive algorithmIEEE 802.11e wireless local area networks (WLAN)neural networks (NNs)quality of service (QoS).A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning