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Efficient and fair hybrid TDMA-CSMA for virtualized green wireless networks

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conference contribution
posted on 2016-10-24, 15:02 authored by Atoosa Dalili Shoaei, Mahsa DerakhshaniMahsa Derakhshani, Saeedeh Parsaeefard, Tho Le-Ngoc
This paper proposes hybrid TDMA-CSMA for virtualized wireless networks, aiming to meet their isolation requirements. In this scheme, high-load users with non-empty queues are proper and potential candidates for TDMA, while others can compete using p-persistent CSMA. At each superframe, AP decides on TDMA-CSMA scheduling by taking into account traffic parameters of users and slice reservations to maximize the network utilization, while maintaining slice isolation. The corresponding optimization problem is formulated to dynamically schedule users for TDMA phase and optimally pick p parameter for remaining CSMA users. Using complementary geometric programming (CGP) and monomial approximations, an iterative algorithm is developed to find the optimal solution. The simulation results reveal the performance gains of the proposed algorithm in improving the throughput and keeping isolation in a virtualized wireless network.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Vehicular Technology Conference (VTC)

Citation

DALILI SHOAEI, A. ... et al, 2016. Efficient and fair hybrid TDMA-CSMA for virtualized green wireless networks. 2016 IEEE 84th Vehicular Technology Conference: VTC2016-Fall 18–21 September 2016, Montréal, Canada

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2016-05-02

Publication date

2016

Notes

© 2016 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.

ISBN

9781509017010;9781509017027

Language

  • en

Location

Montreal, QC, Canada

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