An Efficient Multiple Lags Selection Method for Cyclostationary Feature Based Spectrum-Sensing

2013 ◽  
Vol 20 (2) ◽  
pp. 133-136 ◽  
Author(s):  
Juei-Chin Shen ◽  
E. Alsusa
Keyword(s):  
Spectrum Sensing ◽  
Selection Method ◽  
Feature Based ◽  
Multiple Lags

scholarly journals Multi Feature Based Classifier for Spectrum Sensing in Cognitive Radio

2018 ◽  
Vol 7 (3.12) ◽  
pp. 894
Author(s):  
V C.S Kaushik ◽  
S Kolangiammal ◽  
B E Manoj Kumar
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Paradigm Shift ◽  
Dynamic Spectrum Access ◽  
Dynamic Spectrum ◽  
Spectrum Access ◽  
Radio Resource ◽  
Effective Implementation ◽  
Feature Based

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.  

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