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25th International Conference on Electronics, Communications and Computers, CONIELECOMP 2015
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publication venue for: Sensing-throughput optimization for cognitive radio networks under outage constraints and hard decision fusion
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RDF description of Sensing-throughput optimization for cognitive radio networks under outage constraints and hard decision fusion - http://orbis.uaslp.mx/vivo/individual/scopus7827
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date: 2026-08-27T19:52:06
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Article
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Sensing-throughput optimization for cognitive radio networks under outage constraints and hard decision fusion
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date time value: conference paper date 7828
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has publication venue: 25th International Conference on Electronics, Communications and Computers, CONIELECOMP 2015
type: Conference Paper
crisid: 7828
abstract: The trade-off problem between spectrum sensing time and cognitive user%27s maximum achievable throughput is addressed here for a hard-decision-fusion-based cooperative cognitive radio network. Spectrum sensing is carried out using the energy detector. In the literature, fusion rules have been investigated and compared in terms of secondary user%27s throughput performance by assuming that the primary signal-to-noise ratios (SNRs) at the secondary (or cognitive) users%27 receivers are all equal. Here, we include small-scale (Nakagami-m) fading in the channel model which leads to different and random instantaneous SNRs at the cognitive radios. An outage constraint on the global probability of detection is used as a design approach to optimize the number of symbols used for periodic spectrum sensing. Simulation results show that the Majority rule attains the maximum achievable throughput. © 2015 IEEE.
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page end: 86
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origen: scopus
related by: authorship_50088
EI dscopus: 2-s2.0-84929239903
estado: published
type: Information Content Entity
artnum: 7086929
abstract: The trade-off problem between spectrum sensing time and cognitive user's maximum achievable throughput is addressed here for a hard-decision-fusion-based cooperative cognitive radio network. Spectrum sensing is carried out using the energy detector. In the literature, fusion rules have been investigated and compared in terms of secondary user's throughput performance by assuming that the primary signal-to-noise ratios (SNRs) at the secondary (or cognitive) users' receivers are all equal. Here, we include small-scale (Nakagami-m) fading in the channel model which leads to different and random instantaneous SNRs at the cognitive radios. An outage constraint on the global probability of detection is used as a design approach to optimize the number of symbols used for periodic spectrum sensing. Simulation results show that the Majority rule attains the maximum achievable throughput. © 2015 IEEE.
page start: 80
type: Article
freetext keyword: cooperative networks; energy detector; Spectrum sensing Economic and social effects; Fading (radio); Radio systems; Signal detection; Signal receivers; Signal to noise ratio; Throughput; Cognitive radio network; Cooperative Cognitive Radio Networks; Cooperative networks; Energy detectors; Probability of detection; Spectrum sensing; Throughput optimization; Throughput performance; Cognitive radio
doi: 10.1109/CONIELECOMP.2015.7086929
most specific type: Conference Paper

Information Content Entity
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Conference Paper
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