Публікація:
Methods of Signal Detection and Recognition in Cognitive Radio Networks

dc.contributor.authorBezruk, V. M.
dc.contributor.authorIvanenko, S.
dc.contributor.authorFedorov, O.
dc.date.accessioned2021-06-09T10:17:26Z
dc.date.available2021-06-09T10:17:26Z
dc.date.issued2021
dc.description.abstractThe paper employs techniques of signal detection and recognition to perform spectrum sensing in cognitive radio networks. The main focus is on extensive use of signal recognition techniques, which is not the case yet in the context of cognitive radio networks. In particular, the use of unconventional methods of signal recognition allows us to not only divide received signals into classes of those which belong to primary or secondary users but, additionally, register appearance of new, uncategorized, sources of radiation. As a consequence, all considered in the paper procedures may be employed by the local frequency control authorities to monitor radio frequency resource utilization. Performance analysis of presented in the paper algorithms for signal selection and recognition is performed by the method of Monte-Carlo.uk_UA
dc.identifier.citationBezruk V., Ivanenko S., Fedorov O. Methods of Signal Detection and Recognition in Cognitive Radio Networks // In: Vorobiyenko P., Ilchenko M., Strelkovska I. (eds) Current Trends in Communication and Information Technologies. IPF 2020. Lecture Notes in Networks and Systems, vol. 212. - Springer, Cham, 2021. - pp 80-92.uk_UA
dc.identifier.isbn978-3-030-76343-5
dc.identifier.urihttps://openarchive.nure.ua/handle/document/16398
dc.publisherSpringer, Chamuk_UA
dc.subjectCognitive radio networksuk_UA
dc.subjectDetectionuk_UA
dc.subjectSignaluk_UA
dc.subjectSpectrum sensinguk_UA
dc.subjectRecognitionuk_UA
dc.titleMethods of Signal Detection and Recognition in Cognitive Radio Networksuk_UA
dc.typeBook chapteruk_UA
dspace.entity.typePublication

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