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AuthorMohammadyan, Fariba
AuthorPourgharehkhan, Zahra
AuthorTaherpour, Abbas
AuthorKhattab, Tamer
Available date2022-11-01T09:01:32Z
Publication Date2015
Publication NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ResourceScopus
Resource2-s2.0-84952658881
URIhttp://dx.doi.org/10.1007/978-3-319-24540-9_9
URIhttp://hdl.handle.net/10576/35695
AbstractIn this paper, Cognitive Radios (CRs) collaborate in spectrum sensing to detect random signals corrupted by Gaussian noise. Our analysis is based on a limited time resource assumption. This implies that the time resource dedicated for cooperative spectrum sensing process is constrained and shared between spectrum sensing time and results reporting time, which depends on the number of sensing users. We use common weighted gain combining detector to detect presence or absence of Primary User (PU). In order to find optimum gains, number of users and detection threshold, we maximize the achievable throughput with two approaches so that the predefined constraints on detection and false alarm probabilities are satisfied to protect the cooperative network performance quality. Analytical results in addition to simulation results show that the proposed schemes significantly outperform similar traditional detectors. Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
Languageen
PublisherSpringer Verlag
SubjectGaussian noise (electronic)
Radio systems
Wireless networks
Achievable throughputs
Co-operative spectrum sensing
Collaborative spectrum sensing
Cooperative networks
Detection threshold
False alarm probability
Performance quality
Spectrum sensing time
Cognitive radio
TitleOptimization of collaborative spectrum sensing with limited time resource
TypeConference Paper
Pagination109-122
Volume Number156
dc.accessType Abstract Only


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