Analyzing and Modelling the Interference Impact on Energy Efficiency of WLANs

Zhao, G; Wang, Q; Xu, C; Yu, S

Analyzing and Modelling the Interference Impact on Energy Efficiency of WLANs

Zhao, G Wang, Q Xu, C Yu, S

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2018, 2018-May
Issue Date:: 2018-07-27

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Field	Value	Language
dc.contributor.author	Zhao, G	en_US
dc.contributor.author	Wang, Q	en_US
dc.contributor.author	Xu, C	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.date.issued	2018-07-27	en_US
dc.identifier.citation	IEEE International Conference on Communications, 2018, 2018-May	en_US
dc.identifier.isbn	9781538631805	en_US
dc.identifier.issn	1550-3607	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133167
dc.description.abstract	© 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.	en_US
dc.relation.ispartof	IEEE International Conference on Communications	en_US
dc.relation.isbasedon	10.1109/ICC.2018.8422691	en_US
dc.title	Analyzing and Modelling the Interference Impact on Energy Efficiency of WLANs	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-May	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2018-May	en_US

Abstract:

© 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.

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http://hdl.handle.net/10453/133167