Downlink power allocation algorithm for licence-exempt LTE systems using Kriging and Compressive Sensing based spectrum cartography

Jayawickrama, BA; Dutkiewicz, E; Fang, G; Oppermann, I; Mueck, M

Downlink power allocation algorithm for licence-exempt LTE systems using Kriging and Compressive Sensing based spectrum cartography

Jayawickrama, BA Dutkiewicz, E

Fang, G Oppermann, I Mueck, M

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Publication Type:: Conference Proceeding
Citation:: GLOBECOM - IEEE Global Telecommunications Conference, 2013, pp. 3766 - 3771
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Jayawickrama, BA	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Fang, G	en_US
dc.contributor.author	Oppermann, I	en_US
dc.contributor.author	Mueck, M	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	GLOBECOM - IEEE Global Telecommunications Conference, 2013, pp. 3766 - 3771	en_US
dc.identifier.isbn	9781479913534	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120792
dc.description.abstract	Licence-exempt secondary Long Term Evolution systems have been proposed recently, in attempt to meet the needs of rapidly growing wireless mobile applications. However, where the secondary network is spread over a large geographical area, traditional detect-and-avoid algorithms are less effective in providing interference protection to Primary Users while maximising the secondary throughput. Spectrum cartography is an emerging technique that can be used to discover spectrum holes in space. We propose a downlink power allocation algorithm using Kriging Spatial Interpolation and Compressive Sensing based spectrum cartography in an environment where large scale shadow fading is prominent. We evaluate the performance of our approach by simulating a secondary Urban Microcell network operating in TV White Space. Simulation results show a significant improvement in interference and throughput, in comparison to traditional detect-and-avoid algorithms. © 2013 IEEE.	en_US
dc.relation.ispartof	GLOBECOM - IEEE Global Telecommunications Conference	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2013.6831659	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Downlink power allocation algorithm for licence-exempt LTE systems using Kriging and Compressive Sensing based spectrum cartography	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	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	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

Licence-exempt secondary Long Term Evolution systems have been proposed recently, in attempt to meet the needs of rapidly growing wireless mobile applications. However, where the secondary network is spread over a large geographical area, traditional detect-and-avoid algorithms are less effective in providing interference protection to Primary Users while maximising the secondary throughput. Spectrum cartography is an emerging technique that can be used to discover spectrum holes in space. We propose a downlink power allocation algorithm using Kriging Spatial Interpolation and Compressive Sensing based spectrum cartography in an environment where large scale shadow fading is prominent. We evaluate the performance of our approach by simulating a secondary Urban Microcell network operating in TV White Space. Simulation results show a significant improvement in interference and throughput, in comparison to traditional detect-and-avoid algorithms. © 2013 IEEE.

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http://hdl.handle.net/10453/120792