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Efficient and fair hybrid TDMA-CSMA for virtualized green wireless networks
conference contribution
posted on 2016-10-24, 15:02 authored by Atoosa Dalili Shoaei, Mahsa DerakhshaniMahsa Derakhshani, Saeedeh Parsaeefard, Tho Le-NgocThis 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, CanadaPublisher
© IEEEVersion
- 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
2016-05-02Publication date
2016Notes
© 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;9781509017027Publisher version
Language
- en