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Cognitive radio transceivers: RF, spectrum sensing, and learning algorithms review

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dc.contributor.author Safatly L.
dc.contributor.author Bkassiny M.
dc.contributor.author Al-Husseini M.
dc.contributor.author El-Hajj A.
dc.contributor.editor
dc.date 2014
dc.date.accessioned 2017-09-07T07:08:30Z
dc.date.available 2017-09-07T07:08:30Z
dc.date.issued 2014
dc.identifier 10.1155/2014/548473
dc.identifier.isbn
dc.identifier.issn 16875869
dc.identifier.uri http://hdl.handle.net/10938/11983
dc.description.abstract A cognitive transceiver is required to opportunistically use vacant spectrum resources licensed to primary users. Thus, it relies on a complete adaptive behavior composed of: reconfigurable radio frequency (RF) parts, enhanced spectrum sensing algorithms, and sophisticated machine learning techniques. In this paper, we present a review of the recent advances in CR transceivers hardware design and algorithms. For the RF part, three types of antennas are presented: UWB antennas, frequency-reconfigurable-tunable antennas, and UWB antennas with reconfigurable band notches. The main challenges faced by the design of the other RF blocks are also discussed. Sophisticated spectrum sensing algorithms that overcome main sensing challenges such as model uncertainty, hardware impairments, and wideband sensing are highlighted. The cognitive engine features are discussed. Moreover, we study unsupervised classification algorithms and a reinforcement learning (RL) algorithm that has been proposed to perform decision-making in CR networks. © 2014 Lise Safatly et al.
dc.format.extent
dc.language English
dc.publisher Hindawi Publishing Corporation; NEW YORK
dc.relation.ispartof Publication Name: International Journal of Antennas and Propagation; Publication Year: 2014; Volume: 2014;
dc.relation.ispartofseries
dc.relation.uri
dc.source Scopus
dc.subject.other
dc.title Cognitive radio transceivers: RF, spectrum sensing, and learning algorithms review
dc.type Review
dc.contributor.affiliation Safatly, L., ECE Department, American University of Beirut, Beirut 1107 2020, Lebanon
dc.contributor.affiliation Bkassiny, M., ECE Department, State University of New York, Oswego, NY 13126, United States
dc.contributor.affiliation Al-Husseini, M., Beirut Research and Innovation Center, Lebanese Center for Studies and Research, Beirut 2030 8303, Lebanon
dc.contributor.affiliation El-Hajj, A., ECE Department, American University of Beirut, Beirut 1107 2020, Lebanon
dc.contributor.authorAddress Safatly, L.; ECE Department, American University of Beirut, Beirut 1107 2020, Lebanon; email: les12@aub.edu.lb
dc.contributor.authorCorporate University: American University of Beirut; Faculty: Faculty of Engineering and Architecture; Department: Electrical and Computer Engineering;
dc.contributor.authorDepartment Electrical and Computer Engineering
dc.contributor.authorDivision
dc.contributor.authorEmail les12@aub.edu.lb
dc.contributor.authorFaculty Faculty of Engineering and Architecture
dc.contributor.authorInitials Safatly, L
dc.contributor.authorInitials Bkassiny, M
dc.contributor.authorInitials Al-Husseini, M
dc.contributor.authorInitials El-Hajj, A
dc.contributor.authorOrcidID
dc.contributor.authorReprintAddress Safatly, L (reprint author), Amer Univ Beirut, ECE Dept, Beirut 11072020, Lebanon.
dc.contributor.authorResearcherID
dc.contributor.authorUniversity American University of Beirut
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dc.description.citedTotWOSCount 0
dc.description.citedWOSCount 0
dc.format.extentCount 1
dc.identifier.articleNo 548473
dc.identifier.coden
dc.identifier.pubmedID
dc.identifier.scopusID 84899582232
dc.identifier.url
dc.publisher.address 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA
dc.relation.ispartofConference
dc.relation.ispartofConferenceCode
dc.relation.ispartofConferenceDate
dc.relation.ispartofConferenceHosting
dc.relation.ispartofConferenceLoc
dc.relation.ispartofConferenceSponsor
dc.relation.ispartofConferenceTitle
dc.relation.ispartofFundingAgency
dc.relation.ispartOfISOAbbr Int. J. Antennas Propag.
dc.relation.ispartOfIssue
dc.relation.ispartOfPart
dc.relation.ispartofPubTitle International Journal of Antennas and Propagation
dc.relation.ispartofPubTitleAbbr Int. J. Antennas Propag.
dc.relation.ispartOfSpecialIssue
dc.relation.ispartOfSuppl
dc.relation.ispartOfVolume 2014
dc.source.ID WOS:000333847900001
dc.type.publication Journal
dc.subject.otherAuthKeyword
dc.subject.otherChemCAS
dc.subject.otherIndex Antennas
dc.subject.otherIndex Hardware
dc.subject.otherIndex Learning algorithms
dc.subject.otherIndex Reinforcement learning
dc.subject.otherIndex Transceivers
dc.subject.otherIndex Ultra-wideband (UWB)
dc.subject.otherIndex Uncertainty analysis
dc.subject.otherIndex Adaptive behavior
dc.subject.otherIndex Cognitive engines
dc.subject.otherIndex Model uncertainties
dc.subject.otherIndex Radio transceivers
dc.subject.otherIndex Reconfigurable radios
dc.subject.otherIndex Sophisticated machines
dc.subject.otherIndex Unsupervised classification
dc.subject.otherIndex Wideband sensing
dc.subject.otherIndex Broadband networks
dc.subject.otherKeywordPlus NOTCHED UWB ANTENNA
dc.subject.otherKeywordPlus NONPARAMETRIC SIGNAL CLASSIFICATION
dc.subject.otherKeywordPlus SPLIT-RING RESONATORS
dc.subject.otherKeywordPlus BAND REJECTION
dc.subject.otherKeywordPlus SLOT ANTENNA
dc.subject.otherKeywordPlus ULTRAWIDEBAND ANTENNA
dc.subject.otherKeywordPlus MODULATED SIGNALS
dc.subject.otherKeywordPlus MONOPOLE ANTENNA
dc.subject.otherKeywordPlus VIVALDI ANTENNA
dc.subject.otherKeywordPlus GROUND PLANE
dc.subject.otherWOS Engineering, Electrical and Electronic
dc.subject.otherWOS Telecommunications


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