Spectrum access in white spaces using spectrum sensing and geolocation databases

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Ruttik, Kalle, Dr., Aalto University, Department of Communications and Networking, Finland
dc.contributor.author Koufos, Konstantinos
dc.date.accessioned 2013-11-26T10:01:18Z
dc.date.available 2013-11-26T10:01:18Z
dc.date.issued 2013
dc.identifier.isbn 978-952-60-5455-1 (electronic)
dc.identifier.isbn 978-952-60-5454-4 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/11466
dc.description.abstract A spectrum license grants users the right to transmit on a particular piece of spectrum. Historically, a spectrum license has been allocated for a particular technology. While this strategy facilitates interference control, it also results in spectrum scarcity as more spectrum-efficient technologies are invented. In order to meet the increasing data traffic demands in a timely manner, a shared use of the spectrum seems to be the only viable solution. According to this line of thinking, different technologies with possibly different deployment densities can share the same spectrum under certain conditions. While shared spectrum access improves spectral efficiency, it also increases the risk for harmful interference among the different systems. This calls for a change in the traditional way of issuing spectrum licenses: instead of specifying transmit power levels, the spectrum usage rights specify the generated interference that is permitted. Spectrum access to white spaces would enhance spectrum utilisation, while also testing the approach of controlling the interference between different systems directly rather than through the transmission power. The amount of interference generated to the license holder can be controlled by spectrum sensing and/or geolocation database access. Interference control using spectrum sensing usually boils down to a signal detection problem. In this thesis, we show that the traditional signal detection framework is not appropriate for recovering transmission opportunities in the spatial domain and propose an alternative model. Also, sensing strategies for energy efficient wideband spectrum sensing and trade-off analysis between the service requirement and the demand in the measured spectrum are demonstrated. At this moment, spectrum access to white spaces is mostly possible via geolocation databases. The database is responsible for handling spectrum access requests while complying with certain regulatory conditions. In this thesis, we suggest some interference control and power allocation algorithms that may govern the operation of the database. The algorithms have a low complexity to enable a real-time operation in the database. They involve simple models to capture the impact of the non-uniform demand density, terrain-based propagation and fading correlations on the generated interference. Also, we propose a joint rate and power allocation algorithm that protects the license holder in all cases. en
dc.format.extent 128 + app. 83
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 195/2013
dc.relation.haspart [Publication 1]: Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Controlling the interference from multiple secondary systems at the TV cell border. In Proc. IEEE Personal Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, pages 645-649, September 2011.
dc.relation.haspart [Publication 2]: Konstantinos Koufos and Riku Jäntti. Proportional fair power allocation for secondary transmitters in the TV white space. Journal of Electrical and Computer Engineering, 2013.
dc.relation.haspart [Publication 3]: Byungjin Cho, Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Power allocation in the TV white space under constraint on secondary system self-interference. Journal of Electrical and Computer Engineering, 2012.
dc.relation.haspart [Publication 4]: Kalle Ruttik, Konstantinos Koufos and Riku Jäntti. Model for computing aggregate interference from secondary cellular network in presence of correlated shadow fading. In Proc. IEEE Personal Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, pages 433-437, September 2011.
dc.relation.haspart [Publication 5]: Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Aggregate interference from WLAN in the TVWS by using terrain-based channel model. In Proc. IEEE International Conference on Cognitive Radio OrientedWireless Networks (CROWNCOM), Stockholm, Sweden, pages 185-189, June 2012.
dc.relation.haspart [Publication 6]: Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Signal model for dynamic spectrum allocation close to the cell border of a primary transmitter. In Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), Chicago, US, pages 1-5, October 2008.
dc.relation.haspart [Publication 7]: Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Distributed Sensing in Multiband Cognitive Networks. IEEE Transactions on Wireless Communications, Volume 10, issue 5, pages 1667-1677, May 2011.
dc.relation.haspart [Publication 8]: Konstantinos Koufos, Kalle Ruttik and Riku Jäntti. Voice Service in Cognitive Networks over the TV Spectrum. IET Communications, Volume 6, issue 8, pages 991-1003, May 2012.
dc.subject.other Telecommunications engineering en
dc.title Spectrum access in white spaces using spectrum sensing and geolocation databases en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Tietoliikenne- ja tietoverkkotekniikan laitos fi
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword aggregate interference models en
dc.subject.keyword flexible spectrum use en
dc.subject.keyword spectrum sensing strategy en
dc.identifier.urn URN:ISBN:978-952-60-5455-1
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Jäntti, Riku, Prof., Aalto University, Department of Communications and Networking, Finland
dc.opn Aazhang, Behnaam, Prof., Rice University, USA
dc.opn Valkama, Mikko, Prof., Tampere University of Technology, Finland
dc.rev Valkama, Mikko, Prof., Tampere University of Technology, Finland
dc.rev Nekovee, Maziar, Dr., Samsung R&D Institute, UK
dc.date.defence 2013-12-04


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account