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http://dx.doi.org/10.12815/kits.2013.12.1.088

Histogram Bin Number Selection Method Robust to the Variations of Channel Occupancy for Cross Entropy  

Yong, Seulbaro (인하대학교 정보통신공학과)
Jang, Sung-Jeen (인하대학교 정보통신공학과)
Kim, Jae-Moung (인하대학교 정보통신공학부)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.1, 2013 , pp. 88-97 More about this Journal
Abstract
Most of the traditional spectrum sensing methods consider only the current detected data sets of Primary User (PU). However previous state of PU is a kind of conditional probability that strengthens the reliability of the detector. Therefore, in the cross entropy spectrum sensing method, relationship of the previous and current spectrum sensing is considered to detect PU signal more effectively. But these cross entropy spectrum sensing methods only consider the ideal system. In other words, PU always occupy the channel during the same period. However, PU can occupy the channel either for a longer or a shorter period than the ideal case in the real system. For this reason, the spectrum sensing performance can be varied. In this paper, we propose the method that can maintain the performance of spectrum sensing in the real system and we confirm the results with the help of simulation.
Keywords
Cognitive Radio; Spectrum Sensing; Cross Entropy; Entropy; Histogram;
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Times Cited By KSCI : 2  (Citation Analysis)
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