dc.contributor.author | Simpson, Oluyomi | |
dc.contributor.author | Abdulkadir, Yusuf | |
dc.contributor.author | Sun, Yichuang | |
dc.date.accessioned | 2018-09-19T09:41:19Z | |
dc.date.available | 2018-09-19T09:41:19Z | |
dc.date.issued | 2018-08-30 | |
dc.identifier.citation | Simpson , O , Abdulkadir , Y & Sun , Y 2018 , ' A Kosambi-Karhunen–Loève Learning Approach to Cooperative Spectrum Sensing in Cognitive Radio Networks ' , International Wireless Communications and Mobile Computing Conference, IWCMC , vol. 14 , pp. 1094-1098 . https://doi.org/10.1109/IWCMC.2018.8450532 | |
dc.identifier.issn | 2376-6492 | |
dc.identifier.uri | http://hdl.handle.net/2299/20617 | |
dc.description.abstract | This paper focuses on the issues of cooperative spectrum sensing (CSS) in a large cognitive radio network (CRN) where cognitive radio (CR) nodes can cooperative with neighboring nodes using spatial cooperation. A novel optimal global primary user (PU) detection framework with geographical cooperation using a deflection coefficient metric measure to characterize detection performance is proposed. It is assumed that only a small fraction of CR nodes communicate with the fusion center (FC). Optimal cooperative techniques which are global for class deterministic PU signals are proposed. By establishing the relationship between the CSS technique design issues and Kosambi-Karhunen–Loève transform (KLT) the problem is solved efficiently and the impact on detection performance is evaluated using simulation. | en |
dc.format.extent | 5 | |
dc.format.extent | 708026 | |
dc.language.iso | eng | |
dc.relation.ispartof | International Wireless Communications and Mobile Computing Conference, IWCMC | |
dc.subject | Cognitive radio networks | |
dc.subject | cooperative spectrum sensing | |
dc.subject | global cooperation | |
dc.subject | Kosambi-Karhunen-Loève transform | |
dc.subject | learning | |
dc.subject | Computer Networks and Communications | |
dc.subject | Energy Engineering and Power Technology | |
dc.subject | Control and Optimization | |
dc.title | A Kosambi-Karhunen–Loève Learning Approach to Cooperative Spectrum Sensing in Cognitive Radio Networks | en |
dc.contributor.institution | School of Engineering and Technology | |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85053865031&partnerID=8YFLogxK | |
dc.identifier.url | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8450532&isnumber=8450266 | |
rioxxterms.versionofrecord | 10.1109/IWCMC.2018.8450532 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |