2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) 2012
DOI: 10.1109/cecnet.2012.6201823
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Blind multiband spectrum sensing in cognitive radio network

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Cited by 5 publications
(2 citation statements)
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“…Thus far, there are a few sensing algorithms proposed in the literature. Here, we choose the MME detector [11] and the information theoretical criteria based AIC/MDL detector [14] for comparison. These algorithms require no prior knowledge of the noise power and thus are robust to the noise uncertainty.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus far, there are a few sensing algorithms proposed in the literature. Here, we choose the MME detector [11] and the information theoretical criteria based AIC/MDL detector [14] for comparison. These algorithms require no prior knowledge of the noise power and thus are robust to the noise uncertainty.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…To deal with the multiband spectrum sensing for the CR, the ED is conducted to perform a narrowband detection independently in a particular subband at a time [13]. Information theoretic criteria are applied to the spectrum sensing as a model selection problem in the frequency domain, where the decision is made at each frequency band individually [14]. Another set of information theoretic criteria‐based spectrum sensing algorithms investigate the multiband spectrum sensing in the time domain from a different perspective [15, 16].…”
Section: Introductionmentioning
confidence: 99%