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http://dx.doi.org/10.3837/tiis.2016.10.001

Wireless Energy-Harvesting Cognitive Radio with Feature Detectors  

Gao, Yan (School of Electronic Information, Nanjing College of Information Technology)
Chen, Yunfei (School of Engineering, Warwick University)
Xie, Zhibin (School of Electronic and Information, Jiangsu University of Science and Technology)
Hu, Guobing (School of Electronic Information Engineering, Jinling Institute of Technology)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.10, 2016 , pp. 4625-4641 More about this Journal
Abstract
The performances of two commonly used feature detectors for wireless energy-harvesting cognitive radio systems are compared with the energy detector under energy causality and collision constraints. The optimal sensing duration is obtained by analyzing the effect of the detection threshold on the average throughput and collision probability. Numerical examples show that the covariance detector has the optimal sensing duration depending on an appropriate choice of the detection threshold, but no optimal sensing duration exists for the ratio of average energy to minimum eigenvalue detector.
Keywords
Cognitive radio; energy-harvesting; performance analysis; spectrum sensing; wireless;
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