Wang Chiapin, Lin Po-Chiang, Lin Tsungnan
IEEE Trans Neural Netw. 2006 Nov;17(6):1661-5. doi: 10.1109/TNN.2006.883014.
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.
在本信函中，我们提出了一种跨层自适应方案，该方案通过根据应用层服务质量（QoS）要求和物理层（PHY）信道条件在线自适应多维介质访问控制（MAC）层参数，来提高IEEE 802.11e的服务质量。我们的解决方案基于一种优化方法，该方法利用神经网络（NN）来学习跨层功能。仿真结果证明了我们自适应方案的有效性。
