An Incentive-Compatible Load Distribution Approach for Wireless Local Area Networks with Usage-Based Pricing

Bo GU; Kyoko YAMORI; Sugang XU; Yoshiaki TANAKA

doi:10.1587/transcom.E96.B.451

An Incentive-Compatible Load Distribution Approach for Wireless Local Area Networks with Usage-Based Pricing

Bo GU, Kyoko YAMORI, Sugang XU, Yoshiaki TANAKA

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Recent studies have shown that the traffic load is often distributed unevenly among the access points. Such load imbalance results in an ineffective bandwidth utilization. The load imbalance and the consequent ineffective bandwidth utilization could be alleviated via intelligently selecting user-AP associations. In this paper, the diversity in users' utilities is sufficiently taken into account, and a Stackelberg leader-follower game is formulated to obtain the optimal user-AP association. The effectiveness of the proposed algorithm on improving the degree of load balance is evaluated via simulations. Simulation results show that the performance of the proposed algorithm is superior to or at least comparable with the best existing algorithms.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.2 pp.451-458

Publication Date: 2013/02/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.451

Type of Manuscript: Special Section PAPER (Special Section on Quality of Communication Services Improving Quality of Life)

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Bo GU, Kyoko YAMORI, Sugang XU, Yoshiaki TANAKA, "An Incentive-Compatible Load Distribution Approach for Wireless Local Area Networks with Usage-Based Pricing" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 2, pp. 451-458, February 2013, doi: 10.1587/transcom.E96.B.451.
Abstract: Recent studies have shown that the traffic load is often distributed unevenly among the access points. Such load imbalance results in an ineffective bandwidth utilization. The load imbalance and the consequent ineffective bandwidth utilization could be alleviated via intelligently selecting user-AP associations. In this paper, the diversity in users' utilities is sufficiently taken into account, and a Stackelberg leader-follower game is formulated to obtain the optimal user-AP association. The effectiveness of the proposed algorithm on improving the degree of load balance is evaluated via simulations. Simulation results show that the performance of the proposed algorithm is superior to or at least comparable with the best existing algorithms.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.451/_p

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@ARTICLE{e96-b_2_451,
author={Bo GU, Kyoko YAMORI, Sugang XU, Yoshiaki TANAKA, },
journal={IEICE TRANSACTIONS on Communications},
title={An Incentive-Compatible Load Distribution Approach for Wireless Local Area Networks with Usage-Based Pricing},
year={2013},
volume={E96-B},
number={2},
pages={451-458},
abstract={Recent studies have shown that the traffic load is often distributed unevenly among the access points. Such load imbalance results in an ineffective bandwidth utilization. The load imbalance and the consequent ineffective bandwidth utilization could be alleviated via intelligently selecting user-AP associations. In this paper, the diversity in users' utilities is sufficiently taken into account, and a Stackelberg leader-follower game is formulated to obtain the optimal user-AP association. The effectiveness of the proposed algorithm on improving the degree of load balance is evaluated via simulations. Simulation results show that the performance of the proposed algorithm is superior to or at least comparable with the best existing algorithms.},
keywords={},
doi={10.1587/transcom.E96.B.451},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - An Incentive-Compatible Load Distribution Approach for Wireless Local Area Networks with Usage-Based Pricing
T2 - IEICE TRANSACTIONS on Communications
SP - 451
EP - 458
AU - Bo GU
AU - Kyoko YAMORI
AU - Sugang XU
AU - Yoshiaki TANAKA
PY - 2013
DO - 10.1587/transcom.E96.B.451
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2013
AB - Recent studies have shown that the traffic load is often distributed unevenly among the access points. Such load imbalance results in an ineffective bandwidth utilization. The load imbalance and the consequent ineffective bandwidth utilization could be alleviated via intelligently selecting user-AP associations. In this paper, the diversity in users' utilities is sufficiently taken into account, and a Stackelberg leader-follower game is formulated to obtain the optimal user-AP association. The effectiveness of the proposed algorithm on improving the degree of load balance is evaluated via simulations. Simulation results show that the performance of the proposed algorithm is superior to or at least comparable with the best existing algorithms.
ER -