Title :
Cooperative spectrum sensing based on Noise Power estimation
Author :
Rakovic, Valentin ; Pavlovska, Valentina ; Atanasovski, Vladimir ; Gavrilovska, Liljana
Abstract :
The cooperative spectrum sensing process represents one of the key topics in the field of cognitive radio and dynamic spectrum access. This paper introduces the notion of Estimated Noise Power (ENP) in the case of the Equal Gain Combining and Majority Voting cooperative spectrum sensing techniques, and proves the benefit of its utilization. The performance analysis shows that the proposed approach increases the detection capabilities of the cooperative spectrum sensing techniques in terms of detection probability and Receiver Operating Characteristic (ROC) curve. Moreover, the results show that when utilizing the proposed approach, the cooperative spectrum sensing techniques increase their performance in terms of the average Bayesian risk.
Keywords :
Bayes methods; cognitive radio; cooperative communication; signal detection; Bayesian risk; cognitive radio; detection probability; dynamic spectrum access; equal gain combining; majority voting cooperative spectrum sensing; noise power estimation; performance analysis; receiver operating characteristic curve; Cognitive radio; Cognitive radio; cooperative spectrum sensing; noise power estimation;
Conference_Titel :
Wireless Personal Multimedia Communications (WPMC), 2013 16th International Symposium on
Conference_Location :
Atlantic City, NJ