An Adaptive UAV Network for Increased User Coverage and Spectral Efficiency

Abeywickrama, HV; He, Y; Dutkiewicz, E; Jayawickrama, BA

An Adaptive UAV Network for Increased User Coverage and Spectral Efficiency

Abeywickrama, HV He, Y

Dutkiewicz, E

Jayawickrama, BA

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Publication Type:: Conference Proceeding
Citation:: IEEE Wireless Communications and Networking Conference, WCNC, 2019, 2019-April
Issue Date:: 2019-04-01

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Field	Value	Language
dc.contributor.author	Abeywickrama, HV	en_US
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Jayawickrama, BA	en_US
dc.date.available	2021-04-01T18:01:53Z
dc.date.issued	2019-04-01	en_US
dc.identifier.citation	IEEE Wireless Communications and Networking Conference, WCNC, 2019, 2019-April	en_US
dc.identifier.isbn	9781538676462	en_US
dc.identifier.issn	1525-3511	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136999
dc.description.abstract	© 2019 IEEE. Unmanned Aerial Vehicles (UAVs) are fast becoming a popular choice in a variety of applications in wireless communication systems. UAV-mounted base stations (UAV-BSs) are an effective and cost-efficient solution for providing wireless connectivity where fixed infrastructure is not available or destroyed. We present a method of using UAV-BSs to provide coverage to mobile users in a fixed area. We propose an algorithm for predicting the user locations based on their mobility data and clustering the predicted locations, so that one UAV-BS would provide coverage to one user cluster. The proposed method, hence is similar to the UAV-BSs following the users to keep them under the coverage region. Simulation results show that the proposed method increases the user coverage by 47%-72% and increases the spectral efficiency by 43%-55% depending on the scenario and in addition, reduces the number of UAV-BSs required to provide coverage.	en_US
dc.relation.ispartof	IEEE Wireless Communications and Networking Conference, WCNC	en_US
dc.relation.isbasedon	10.1109/WCNC.2019.8885892	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	An Adaptive UAV Network for Increased User Coverage and Spectral Efficiency	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2019-April	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2019-April	en_US

Abstract:

© 2019 IEEE. Unmanned Aerial Vehicles (UAVs) are fast becoming a popular choice in a variety of applications in wireless communication systems. UAV-mounted base stations (UAV-BSs) are an effective and cost-efficient solution for providing wireless connectivity where fixed infrastructure is not available or destroyed. We present a method of using UAV-BSs to provide coverage to mobile users in a fixed area. We propose an algorithm for predicting the user locations based on their mobility data and clustering the predicted locations, so that one UAV-BS would provide coverage to one user cluster. The proposed method, hence is similar to the UAV-BSs following the users to keep them under the coverage region. Simulation results show that the proposed method increases the user coverage by 47%-72% and increases the spectral efficiency by 43%-55% depending on the scenario and in addition, reduces the number of UAV-BSs required to provide coverage.

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http://hdl.handle.net/10453/136999