A cross-layer adaptation scheme for improving IEEE 802.11e QoS by learning

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.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Computer Communication Networks*
  • Information Storage and Retrieval / methods*
  • Information Storage and Retrieval / standards
  • Neural Networks, Computer*
  • Pattern Recognition, Automated / methods*
  • Quality Control
  • Signal Processing, Computer-Assisted*
  • United States