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dc.contributor.authorWang, Dan
dc.contributor.authorYang, Zhitao
dc.date.accessioned2017-09-18T02:16:32Z
dc.date.available2017-09-18T02:16:32Z
dc.date.issued2016
dc.identifier.citationD. Wang and Z. Yang, "An advanced scheme with decision tree for the improvement of spectrum sensing efficiency in dynamic network," 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Datong, 2016, pp. 1288-1292en_US
dc.identifier.isbn978-1-5090-3710-0
dc.identifier.otherWOS:000405706400242
dc.identifier.urihttp://dx.doi.org/10.1109/CISP-BMEI.2016.7852914
dc.identifier.urihttp://hdl.handle.net/10057/14098
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractDynamic spectrum access technology is a kind of technology that provides a solution to the spectrum scarce problem. The most important issue in the CR network (both primary users and secondary users coexists in the network) is that the traffic of secondary users should not affect the primary users communication. In order to not affect the primary users, we have to detect the existence of the primary users. Therefore, the spectrum sensing is needed for this. However, it is very important to design a proper spectrum sensing scheme. Since detection accuracy of the primary users activities and the throughput of the network can be dramatically affected by the spectrum sensing scheme. Therefore, we propose an improved spectrum sensing scheme which take the protocol of the MAC layer into consideration in this paper. The simulation helps to show that our proposed novel method improves the throughput of the network dramatically.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesData communication Sensors, Decision trees, Time division multiple access, Media Access Protocol;
dc.subjectCognitive radioen_US
dc.subjectPrimary usersen_US
dc.subjectThroughputen_US
dc.subjectInterferenceen_US
dc.subjectSpectrum sensingen_US
dc.titleAn advanced scheme with decision tree for the improvement of spectrum sensing efficiency in dynamic networken_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2016, IEEEen_US


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