Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

Arthur D.D. LIMA
Carlos A. BARROS
Luiz Felipe Q. SILVEIRA

IEICE TRANSACTIONS on Communications   Vol.E97-B    No.2    pp.326-333
Publication Date: 2014/02/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.326
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Technologies for Effective Utilization of Spectrum White Space)
cognitive radio,  cyclostationarity,  low power,  parallel scalability,  spectrum sensing,  

Full Text: PDF>>
Buy this Article

 | Errata[Uploaded on June 1,2018]

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.