Cooperative spectrum sensing based on Noise Power estimation
Valentin Rakovic, Valentina Pavlovska, Vladimir Atanasovski, Liljana Gavrilovska
Abstract
Valentin Rakovic, Valentina Pavlovska, Vladimir Atanasovski, Liljana Gavrilovska
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.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Cognitive radio, Computer science, Spectrum (functional analysis), Noise (video), Key (lock), Noise power, Statistical power, Power (physics)