Utility-based load distribution for QoS provisioning and utility maximization in wireless random access networks

Bo Gu, Cheng Zhang, Kyoko Yamori, Sugang Xu, Yoshiaki Tanaka

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

1 Citation (Scopus)

Abstract

In this paper, a utility-based load distribution approach is introduced for relieving congestion at certain popular spaces within the network. Congestion-indication signals are provided for suggesting users to select APs in response to network load conditions. The heavier traffic load an AP has, the lower utility each associated user gains. Hence, the users incentively adapt themselves to associate to less congested APs. The effectiveness of the algorithm on improving the degree of load balance is evaluated using simulations. Simulation results show that the proposed algorithm achieves greater balance and higher resource utilization when compared with the best existing algorithms.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012
Pages406-410
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2nd International Conference on Computer Science and Network Technology, ICCSNT 2012 - Changchun, China
Duration: 2012 Dec 292012 Dec 31

Publication series

NameProceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012

Conference

Conference2nd International Conference on Computer Science and Network Technology, ICCSNT 2012
CountryChina
CityChangchun
Period12/12/2912/12/31

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Utility-based load distribution for QoS provisioning and utility maximization in wireless random access networks'. Together they form a unique fingerprint.

  • Cite this

    Gu, B., Zhang, C., Yamori, K., Xu, S., & Tanaka, Y. (2012). Utility-based load distribution for QoS provisioning and utility maximization in wireless random access networks. In Proceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012 (pp. 406-410). [6525965] (Proceedings of 2nd International Conference on Computer Science and Network Technology, ICCSNT 2012). https://doi.org/10.1109/ICCSNT.2012.6525965