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AP-STA association control for throughput maximization in virtualized WiFi networks

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journal contribution
posted on 17.09.2018, 13:10 by Mahsa Derakhshani, Xiaowei Wang, Daniel Tweed, Tho Le-Ngoc, Alberto Leon-Garcia
To manage and enable service customization among multiple internet service providers (ISPs) sharing the common physical infrastructure and network capacity in virtualized Wi-Fi networks, this paper models and optimizes access point-station (STA) association via airtime usage control. More specifically, an optimization problem is formulated on the STAs’ transmission probabilities to maximize the overall network throughput, while providing airtime usage guarantees for the ISPs. As the proposed optimization problem is inherently non-convex, an algorithm to reach the optimal solution is developed by applying monomial approximation and geometric programming iteratively. Based on the proposed 3-D Markov-chain model of the enhanced distributed channel access protocol, the detailed implementation of the optimal transmission probability of each STA is also discussed by manipulating medium access control parameters. The performance of the developed association and airtime control scheme is evaluated through numerical results. For both homogeneous and non-homogeneous STA distributions, numerical results reveal performance gains of the proposed algorithm in improving the throughput and keeping airtime usage guarantees.

Funding

This work was supported by various Natural Sciences and Engineering Research Council of Canada (NSERC) grants.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Access

Volume

6

Pages

45034 - 45050

Citation

DERAKHSHANI, M. ... et al, 2018. AP-STA association control for throughput maximization in virtualized WiFi networks. IEEE Access, 6, pp.45034-45050.

Publisher

© IEEE

Version

VoR (Version of Record)

Acceptance date

26/07/2018

Publication date

2018-08-10

Notes

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

2169-3536

Language

en

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