Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/1/11837
Title: Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing
Authors: Lima, Arthur Diego de Lira
Barros, Carlos Avelino de
Silveira, Luiz Felipe de Queiroz
Souza, Samuel Xavier de
Valderrama, Carlos Alberto
Keywords: cognitive radio;cyclostationarity;low power;parallel scalability;spectrum sensing
Issue Date: Feb-2014
Abstract: The 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.
URI: http://repositorio.ufrn.br:8080/jspui/handle/1/11837
ISSN: 0916-8516
Appears in Collections:ECT - Artigos publicados em periódicos



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