Interference control and radio spectrum allocation in shared spectrum access

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Jäntti, Riku, Prof., Aalto University, Department of Communications and Networking, Finland Cho, Byungjin 2016-08-15T09:01:18Z 2016-08-15T09:01:18Z 2016
dc.identifier.isbn 978-952-60-6888-6 (electronic)
dc.identifier.isbn 978-952-60-6887-9 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.description.abstract With demands on the radio spectrum intensifying, it is necessary to use this scarce resource as efficiently as possible. One way forward is to apply flexible authorization schemes such as shared spectrum access. While such schemes are expected to make additional radio resource available and lower the spectrum access barriers, they also bring new challenges toward effectively dealing with the created extra interference which degrades the performance of networks, limiting the potential gains in a shared use of spectrum. In this thesis, to address the interference issue, different spectrum access schemes and deployment scenarios are investigated.  Firstly, we consider licensed shared access where database-assisted TV white space network architecture is employed to facilitate the controlled access of the secondary system to the TV band. The operation of the secondary system is allowed only if the quality of service experienced by the incumbent users is preserved. Furthermore, the secondary system should benefit itself from utilizing the TV band in licensed shared access mode. One challenge for efficient operation of the licensed secondary system is to control the cross-tier interference generated at the TV receiver, taking into account the self-interference in the secondary system.  Secondly, we consider co-primary shared access where multiple operators share a part of their spectrum. This can be done in two different operational levels, users and cells. The user level is done in the context of D2D communications where two users subscribed to different operators can transmit directly to each other. The cell level allows spectrum sharing between two small cells, e.g., indoor and outdoor small cells, in a dense urban environments. The main challenges for such scenarios are to manage the cross-tier interference generated by other users or cells subscribed to different operators, and to identify the amount of radio spectrum each operator contributes.  There are several approaches to reduce the risk of interference, but they often come at a high price in terms of complexity and signaling overhead. In this thesis, we aim to propose low complexity mechanisms that take interference control and radio spectrum allocation into account. The proposed mechanisms are based on tractable models which characterize the effects of the fundamental design parameters on the system behavior in shared spectrum access. The models are leveraged to capture the statistic of the aggregate interference and its effects on the performance metrics. en
dc.format.extent 94 + app. 70
dc.format.mimetype application/pdf en
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 125/2016
dc.relation.haspart [Publication 1]: B. Cho, K. Koufos, K. Ruttik, and R. Jäntti. Power allocation in the TV white space under constraint on secondary system self-interference. Journal of Electrical and Computer Engineering, vol. 2012, June 2012. doi: 10.1155/2012/245895
dc.relation.haspart [Publication 2]: B. Cho, K. Koufos, and R. Jäntti. Interference control in cognitive wireless networks by tuning the carrier sensing threshold. In Proc. IEEE International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), June 2013. doi: 10.1109/CROWNCom.2013.6636831
dc.relation.haspart [Publication 3]: B. Cho, K. Koufos, and R. Jäntti. Bounding the mean interference in matérn type II hard-core wireless networks. IEEE Wireless Communications Letters, vol. 2, no. 5, pp. 563-566, October 2013. doi: 10.1109/WCL.2013.072513.130308
dc.relation.haspart [Publication 4]: B. Cho, K. Koufos, and R. Jäntti. Spectrum allocation and mode selection for overlay D2D using carrier sensing threshold. In Proc. IEEE International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), pp. 26-31, June 2014. doi: 10.4108/icst.crowncom.2014.255600
dc.relation.haspart [Publication 5]: B. Cho, K. Koufos, R. Jäntti, Z. Li, and M. A. Uusitalo. Spectrum allocation for multi-operator Device-to-Device communication. In Proc. IEEE International Conference on Communications (ICC), pp. 5454-5459, June 2015
dc.relation.haspart [Publication 6]: B. Cho, K. Koufos, R. Jäntti, and S.-L, Kim. Co-primary spectrum sharing for inter-operator Device-to-Device communication. IEEE Journal of Selected Area in Communications (JSAC), submitted on 30th, April 2016
dc.relation.haspart [Publication 7]: B. Cho, K. Koufos, K. Ruttik, and R. Jäntti. Modeling the interference generated from car base stations towards indoor femto-cells. In Proc. International Federation of Automatic control (IFAC) Symposium on Telematics Applications, pp. 96-101, November 2013. doi: 10.3182/20131111-3-KR-2043.00030
dc.subject.other Telecommunications engineering en
dc.title Interference control and radio spectrum allocation in shared spectrum access en
dc.type G5 Artikkeliväitöskirja fi Sähkötekniikan korkeakoulu fi 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 Flexible spectrum use en
dc.subject.keyword interference models en
dc.subject.keyword stochastic geometry en
dc.subject.keyword game theory en
dc.identifier.urn URN:ISBN:978-952-60-6888-6
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 Pan, Miao, Prof., University of Houston, USA
dc.rev Fodor, Viktoria, Prof., KTH Royal Institute of Technology, Sweden
dc.rev Petrova, Marina, Prof., RWTH Aachen University, Germany 2016-08-05

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