학술논문

Bootstrap approach for cognitive radio
Document Type
Conference
Source
2018 International Conference on Smart Communications in Network Technologies (SaCoNeT) Smart Communications in Network Technologies (SaCoNeT), 2018 International Conference on. :155-158 Oct, 2018
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Sensors
Cognitive radio
Eigenvalues and eigenfunctions
Signal to noise ratio
Indexes
FCC
Spectrum sensing
Goodness of fit test
bootstrap resampling
Language
Abstract
The spectrum sensing function, is one of the primary requirements to ensure efficient and reliable cognitive radio network since it determines whether to allow an unlicensed or secondary user to use certain spectrum resources that are not being used by its owner or primary users. In this paper, we combine the goodness of fit test and bootstrap resampling techniques to address spectrum sensing for the case of a small samples size, thus a faster-sensing step, and where the asymptotic methods do not perform well. It is shown that the proposed method, in the case of a single secondary user, outperforms the energy detection method and the technique based only on the goodness of fit test.