Robust reputation-based cooperative spectrum sensing via imperfect common control channel Ma, Lichuan, Xiang, Yong, Pei, Qingqi, Xiang, Yang and Zhu, Haojin 2017, Robust reputation-based cooperative spectrum sensing via imperfect common control channel, IEEE Transactions on Vehicular Technology, vol. PP, no. 99, pp. 1-15, doi: 10.1109/TVT.2017.2763980. Attached Files Name Description MIMEType Size Downloads Title Robust reputation-based cooperative spectrum sensing via imperfect common control channel Author(s) Ma, Lichuan Xiang, Yong orcid.org/0000-0003-3545-7863 Pei, Qingqi Xiang, Yang Zhu, Haojin Journal name IEEE Transactions on Vehicular Technology Volume number PP Issue number 99 Start page 1 End page 15 Total pages 15 Publisher Institute of Electrical and Electronics Engineers (IEEE) Place of publication Piscataway, N.J. Publication date 2017-10-16 ISSN 0018-9545 Keyword(s) cognitive radio networks cooperative spectrum sensing reputation value threshold computation Language eng DOI 10.1109/TVT.2017.2763980 Field of Research 0806 Information Systems 09 ENGINEERING 10 Technology HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30104258 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to Accepted version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 06 Nov 2017, 11:40:42 EST Mon, 06 Nov 2017, 11:43:56 EST Tue, 07 Nov 2017, 04:00:12 EST Tue, 07 Nov 2017, 05:03:55 EST Wed, 08 Nov 2017, 14:27:30 EST Wed, 08 Nov 2017, 14:31:57 EST Sat, 02 Jun 2018, 02:30:54 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 58 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 06 Nov 2017, 11:43:56 EST

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