A cognitive approach to achieve fair uplink and downlink utilities in wireless networks

Chia-Pin Wang, Kueihsiang Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper investigates on fairness of utilities between uplink and downlink traffic flows in IEEE 802.11 Wireless Local Area Networks (WLAN) with an infrastructure mode. We propose a cognitive resource allocation scheme to tackle the fairness problem. The proposed scheme is cognitive by using neural networks to on-line learn the nonlinear function between the adopted Medium Access Control (MAC) parameters and the corresponding throughput. Thus, the learned knowledge can be exploited to adjust MAC parameters dynamically toward the utility fairness between uplink and downlink flows. Simulations results demonstrate that our adaptive scheme can effectively provide fair uplink and downlink utilities in a varying heterogeneous WLAN environment.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Pages22-28
Number of pages7
DOIs
Publication statusPublished - 2009 Dec 3
Event2009 International Conference on Computational Science and Engineering, CSE '09 - Vancouver, BC, Canada
Duration: 2009 Aug 292009 Aug 31

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume1

Other

Other2009 International Conference on Computational Science and Engineering, CSE '09
CountryCanada
CityVancouver, BC
Period09/8/2909/8/31

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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  • Cite this

    Wang, C-P., & Liang, K. (2009). A cognitive approach to achieve fair uplink and downlink utilities in wireless networks. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 (pp. 22-28). [5282982] (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 1). https://doi.org/10.1109/CSE.2009.115