Deakin University
Browse

File(s) under permanent embargo

Analyzing and modelling the interference impact on energy efficiency of WLANs

Version 2 2024-06-05, 05:30
Version 1 2019-08-22, 08:44
conference contribution
posted on 2024-06-05, 05:30 authored by G Zhao, Q Wang, C Xu, S Yu
© 2018 IEEE. The demands for high-bandwidth drives a dense wireless local access network (WLAN), which may result in severe co-channel interference and energy consumption increasing. To clearly quantify the effect of interference on energy consumption of 802.11 access devices, it is crucial to measure and model the effect of interference. This paper takes extensive measurements for five different WiFi interference types for downstream UDP transmission in actual environment. Based on experimental measurements, we establish a physical interference-energy efficiency (IFEE) model by reconstructing the signal to interference plus noise ratio (SINR) notion and the modulation and coding scheme (MCS) rate adaptive mechanism to accurately predict the interference impaction. Our experimental measurements demonstrate that interference leads to a decrease in energy efficiency and throughput. Compared with the transmit power, channel separation interference dominates. It is worth noting that the impact of interference with multiple interferers is less than single interferer scene. The simulation experiments verify that our IFEE model can achieve high accuracy of interference and energy efficiency modeling.

History

Location

Kansas City, Missouri

Start date

2018-05-20

End date

2018-05-24

ISSN

1550-3607

ISBN-13

9781538631805

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2018, IEEE

Title of proceedings

ICC2018 : Proceedings of the IEEE International Conference on Communications

Event

Communications. International Conference (2018 : Kansas City, Missouri)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC