On the Usage of Geolocation-Aware Spectrum Measurements for Incumbent Location and Transmit Power Detection

Jayawickrama, BA; Dutkiewicz, E; Mueck, M; He, Y

On the Usage of Geolocation-Aware Spectrum Measurements for Incumbent Location and Transmit Power Detection

Jayawickrama, BA

Dutkiewicz, E

Mueck, M He, Y

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2016, 65 (10), pp. 8177 - 8189
Issue Date:: 2016-10-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (779.13 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Jayawickrama, BA https://orcid.org/0000-0003-4693-344X	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Mueck, M	en_US
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375	en_US
dc.date.issued	2016-10-01	en_US
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2016, 65 (10), pp. 8177 - 8189	en_US
dc.identifier.issn	0018-9545	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43522
dc.description.abstract	© 2017 IEEE. Determining the geographical area that needs to be excluded due to incumbent activity is critical to realize high spectral utilization in spectrum sharing networks. This can be achieved by estimating the incumbent location and transmit power. However, keeping the hardware complexity of sensing nodes to a minimum and scalability are critical for spectrum sharing applications with commercial intent. We present a discrete-space l1-norm minimization solution based on geolocation-aware energy detection measurements. In practice, the accuracy of geolocation tagging is limited. We capture the impact as a basis mismatch and derive the necessary condition that needs to be satisfied for successful detection of multiple incumbents' location and transmit power. We find the upper bound for the probability of eliminating the impact of limited geolocation tagging accuracy in a lognormal shadow fading environment, which is applicable to all generic I1-norm minimization techniques. We propose an algorithm based on orthogonal matching pursuit that decreases the residual in each iteration by allowing a selected set of basis vectors to rotate in a controlled manner. Numerical evaluation of the proposed algorithm in a Licensed Shared Access (LSA) network shows a significant improvement in the probability of missed detection and false alarm.	en_US
dc.relation.ispartof	IEEE Transactions on Vehicular Technology	en_US
dc.relation.isbasedon	10.1109/TVT.2015.2512270	en_US
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	On the Usage of Geolocation-Aware Spectrum Measurements for Incumbent Location and Transmit Power Detection	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	65	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	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.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 2017 IEEE. Determining the geographical area that needs to be excluded due to incumbent activity is critical to realize high spectral utilization in spectrum sharing networks. This can be achieved by estimating the incumbent location and transmit power. However, keeping the hardware complexity of sensing nodes to a minimum and scalability are critical for spectrum sharing applications with commercial intent. We present a discrete-space l1-norm minimization solution based on geolocation-aware energy detection measurements. In practice, the accuracy of geolocation tagging is limited. We capture the impact as a basis mismatch and derive the necessary condition that needs to be satisfied for successful detection of multiple incumbents' location and transmit power. We find the upper bound for the probability of eliminating the impact of limited geolocation tagging accuracy in a lognormal shadow fading environment, which is applicable to all generic I1-norm minimization techniques. We propose an algorithm based on orthogonal matching pursuit that decreases the residual in each iteration by allowing a selected set of basis vectors to rotate in a controlled manner. Numerical evaluation of the proposed algorithm in a Licensed Shared Access (LSA) network shows a significant improvement in the probability of missed detection and false alarm.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/43522