Publication:
Capacity of hybrid cognitive radio networks with distributed VAAs

dc.contributor.authorHong, X.
dc.contributor.authorWang, C.-X.
dc.contributor.authorUysal, Murat
dc.contributor.authorGe, X.
dc.contributor.authorOuyang, S.
dc.contributor.departmentElectrical & Electronics Engineering
dc.contributor.ozuauthorUYSAL, Murat
dc.date.accessioned2011-02-18T15:25:52Z
dc.date.available2011-02-18T15:25:52Z
dc.date.issued2010-09
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractA cooperative hybrid cognitive radio (CR) network is proposed to simultaneously operate on a dedicated licensed band and a secondary band. The licensed band is used for communications between a base station (BS) and mobile CR users, whereas the secondary band is used to facilitate the licensed band communication by coordinating multiple CR users to form distributed virtual antenna arrays (VAAs). The capacity of the proposed CR network is studied at both the link and system levels. At the link level (single VAA case), we present an amplify-and-forward-based cooperative signaling scheme that employs power control to prevent harmful noise propagation. The resulting virtual multiple-input-multiple-output (MIMO) link capacity is derived and compared with the real MIMO system. At the system level (multiple VAAs case), the system capacity is derived as a function of multiple parameters, including the primary user density, CR user density, primary exclusion region radius, and VAA radius. Under an average interference power constraint, the maximum system capacity is further calculated by solving an optimization problem with adjustable system parameters. Numerical studies reveal that the proposed cooperative hybrid CR network has a fundamental advantage over a pure CR network by being insensitive to the characteristics of the coexisting primary network. This merit, however, relies on a high CR user density and a wide bandwidth of the secondary band.en_US
dc.description.sponsorshipScottish Funding Council for the Joint Research Institute in Signal and Image Processing with the University of Edinburgh ; RCUK for the U.K.–China Science Bridges ; Natural Sciences and Engineering Research Council of Canada ; National Natural Science Foundation of China (NSFC) ; National 863 High Technology Program of China ; Ministry of Science and Technology (MOST) of China International Science and Technology Collaboration Program ; National Basic Research Program of China “973” ; Guangxi Science Foundation ; NSFC ; Foundation of Guangxi Key Laboratory of Information and Communication ; Key Laboratory of Cognitive Radio and Information Processing (Guilin University of Electronic Technology) Ministry of Education
dc.identifier.doi10.1109/TVT.2010.2053056
dc.identifier.endpage3523
dc.identifier.issn0018-9545
dc.identifier.issue7
dc.identifier.scopus2-s2.0-77956724859
dc.identifier.startpage3510
dc.identifier.urihttp://hdl.handle.net/10679/145
dc.identifier.urihttps://doi.org/10.1109/TVT.2010.2053056
dc.identifier.volume59
dc.identifier.wos000283265100032
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Vehicular Technology
dc.rightsrestrictedAccess
dc.subject.keywordsCapacity analysisen_US
dc.subject.keywordsCognitive radio (CR) networken_US
dc.subject.keywordsMultiple-input multiple-output (MIMO)en_US
dc.subject.keywordsVirtual antenna array VAAen_US
dc.titleCapacity of hybrid cognitive radio networks with distributed VAAsen_US
dc.typearticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication7b58c5c4-dccc-40a3-aaf2-9b209113b763
relation.isOrgUnitOfPublication.latestForDiscovery7b58c5c4-dccc-40a3-aaf2-9b209113b763

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