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dc.contributor.authorLima, Arthur Diego de Lira-
dc.contributor.authorBarros, Carlos Avelino de-
dc.contributor.authorSilveira, Luiz Felipe de Queiroz-
dc.contributor.authorSouza, Samuel Xavier de-
dc.contributor.authorValderrama, Carlos Alberto-
dc.description.abstractThe evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.pt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectcognitive radiopt_BR
dc.subjectlow powerpt_BR
dc.subjectparallel scalabilitypt_BR
dc.subjectspectrum sensingpt_BR
dc.titleParallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensingpt_BR
Appears in Collections:ECT - Artigos publicados em periódicos

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