Signal identification for adaptive spectrum hyperspace access in wireless communications systems

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dc.authorid0000-0001-9474-7372
dc.contributor.authorGörçin, Ali
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:56:17Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:56:17Z
dc.date.issued2014
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.descriptionWOS: 000346036300021
dc.description.abstractTechnologies that will lead to adaptive, intelligent, and aware wireless communications systems are expected to offer solutions to the capacity, interference, and reliability problems of wireless networks. The spectrum sensing feature of CR systems is a step forward to better recognize the problems and to achieve efficient spectrum allocation. On the other hand, even though spectrum sensing can constitute a solid base to accomplish the reconfigurability and awareness goals of next generation networks, a new perspective is required to benefit from all of the dimensions of the available electro (or spectrum) hyperspace, beyond frequency and time. Therefore, spectrum sensing should evolve to a more general and comprehensive awareness-providing mechanism, not only as part of CR systems but also as a communication environment-awareness component of an ASHA paradigm that can adapt sensing parameters autonomously to ensure robust signal identification, parameter estimation, and interference avoidance. Such an approach will lead to recognition of communication opportunities in different dimensions of the spectrum hyperspace, and provide necessary information about the air interfaces, access techniques, and waveforms that are deployed over the monitored spectrum to accomplish ASHA, resource and interference management.
dc.identifier.citationGörçin, A. ve Arslan, H. (2014). Signal identification for adaptive spectrum hyperspace access in wireless communications systems. IEEE Communications Magazine, 52(10), 134-14. https://dx.doi.org/10.1109/MCOM.2014.6917415
dc.identifier.doi10.1109/MCOM.2014.6917415
dc.identifier.endpage145
dc.identifier.issn0163-6804
dc.identifier.issn1558-1896
dc.identifier.issue10
dc.identifier.scopusqualityQ1
dc.identifier.startpage134
dc.identifier.urihttps://dx.doi.org/10.1109/MCOM.2014.6917415
dc.identifier.urihttps://hdl.handle.net/20.500.12511/2650
dc.identifier.volume52
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherThe Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Communications Magazineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAdaptive Wireless Communications Systems
dc.subjectWideband Spectrum Sensing
dc.subjectCognitive Radio Systems
dc.subjectSignal Identification
dc.subjectDynamic Spectrum Access
dc.subjectPublic Safety Radios
dc.subjectTV White Spaces
dc.subjectInterference Source Identification
dc.titleSignal identification for adaptive spectrum hyperspace access in wireless communications systems
dc.typeArticle

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