A cross-layer adaptation scheme for improving IEEE 802.11e QoS by learning
Journal
IEEE Transactions on Neural Networks
Journal Volume
17
Journal Issue
6
Pages
1661-1665
Date Issued
2006
Author(s)
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.
SDGs
Type
journal article