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

Chiapin Wang; Kueihsiang Liang

doi:10.1109/CSE.2009.115

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

Chiapin Wang^*, Kueihsiang Liang

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Pages	22-28
Number of pages	7
DOIs	https://doi.org/10.1109/CSE.2009.115
Publication status	Published - 2009
Event	2009 International Conference on Computational Science and Engineering, CSE '09 - Vancouver, BC, Canada Duration: 2009 Aug 29 → 2009 Aug 31

Publication series

Name	Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume	1

Other

Other	2009 International Conference on Computational Science and Engineering, CSE '09
Country/Territory	Canada
City	Vancouver, BC
Period	2009/08/29 → 2009/08/31

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Software

Access to Document

10.1109/CSE.2009.115

Cite this

Wang, C., & 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). Article 5282982 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 1). https://doi.org/10.1109/CSE.2009.115

A cognitive approach to achieve fair uplink and downlink utilities in wireless networks. / Wang, Chiapin; Liang, Kueihsiang.
Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. 2009. p. 22-28 5282982 (Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, C & 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., 5282982, Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, vol. 1, pp. 22-28, 2009 International Conference on Computational Science and Engineering, CSE '09, Vancouver, BC, Canada, 2009/08/29. https://doi.org/10.1109/CSE.2009.115

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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.",

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AB - 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.

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

Abstract

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Other

ASJC Scopus subject areas

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