Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.25
Cognitive radios should have the capability to detect idle spectrum and share it without harmful interference with other users. This paper presents a strategy for extracting second-order cyclostationary characteristics of licensed system and rental system signals based on spectrum pooling system. According to cyclostationary characteristics of licensed users signals received at the nodes of CRs, predicting whether a signal from a primary transmitter is locally present or not and estimates the channel allocation information. In this paper, formulas for calculations of cyclostationary characteristics are derived and consistent conclusions are illustrated using simulation results.
Cyclostationary, detection, cyclic autocorrelation function, spectral correlation density, cyclostationary characteristics
Tao Luo, Jinbo Wu, Guicai Yu, "Spectrum Detection Based Cyclostationarity in Spectrum Pooling System", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 359-363, doi:10.1109/CSIE.2009.25