Optimum Priority Class Selection under Wi-Fi/LTE Coexistence

Islam Samy, Loukas Lazos

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

Abstract

Wi-Fi and LTE standards define several traffic classes to prioritize applications based on their requirements. When these technologies coexist in unlicensed bands, the class selection of one system impacts the performance of the other. In this paper, we investigate how the traffic class selection affects the delay for completing the transmission of a fixed number of bits. We develop an analytical framework which characterizes the average delay under Wi-Fi/LTE coexistence. Our framework allows us to optimize the class selection for a Wi-Fi or LTE station based on the traffic class selected by the surrounding stations and minimize the average delay. We show that operating at a high priority class does not always minimize delay. Under certain contention and class selection conditions, a low priority class reduces the collision probability while increasing the airtime once the channel is captured. This leads to a lower overall delay. We provide numerical examples that demonstrate the inherent tradeoffs between the traffic class parameters.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680889
DOIs
StatePublished - May 1 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: May 20 2019May 24 2019

Publication series

NameIEEE International Conference on Communications
Volume2019-May
ISSN (Print)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period5/20/195/24/19

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Samy, I., & Lazos, L. (2019). Optimum Priority Class Selection under Wi-Fi/LTE Coexistence. In 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings [8762024] (IEEE International Conference on Communications; Vol. 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2019.8762024