Multi Feature Based Classifier for Spectrum Sensing in Cognitive Radio
2018 ◽
Vol 7
(3.12)
◽
pp. 894
Keyword(s):
Cognitive Radio (CR) is an important technology which can enable the implementation of Dynamic Spectrum Access, which is a paradigm shift from the static spectrum access model. It is an intelligent wireless communication system which can sense the environment and can take decisions to effectively use the available radio resource without creating any interference to the Licensed Primary Users. Hence sensing of the spectrum plays a very important role in the effective implementation of this technology. We propose a new spectrum sensing algorithm in this paper which is based on machine learning and uses a Multi Feature based Classifier (MFC) model for classification of the spectrum.
2014 ◽
Vol 543-547
◽
pp. 2262-2265
On Using Interference-Aware Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio Networks
2013 ◽
Vol 12
(3)
◽
pp. 461-474
◽