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

Chiapin Wang*, Po Chiang Lin, Tsungnan Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1661-1665
Number of pages5
JournalIEEE Transactions on Neural Networks
Issue number6
Publication statusPublished - 2006 Nov
Externally publishedYes


  • Adaptive algorithm
  • IEEE 802.11e wireless local area networks (WLAN)
  • Neural networks (NNs)
  • Quality of service (QoS)

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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