Knowledge Management Toolbox: Machine Learning for Cognitive Radio Networks

Vera Stavroulaki, Aimilia Bantouna, Yiouli Kritikou, Kostas Tsagkaris, Panagiotis Demestichas, Pol Blasco, Faouzi Bader, Mischa Dohler, Daniel Denkovski, Vladimir Atanasovski, Liljana Gavrilovska, Klaus Moessner
2012 IEEE Vehicular Technology Magazine  
Learning mechanisms are essential for the attainment of experience and knowledge in cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states. Such learning mechanisms can be associated with user and device profiles, context and decisions. This paper provides a synopsis of basic learning functionalities and relevant requirements for the collection and processing of information that can lead to exploitable knowledge. The paper also provides an overview of potential
more » ... plementation approaches for these functionalities that exploit diverse machine learning techniques.
doi:10.1109/mvt.2012.2190196 fatcat:b4ogv3i55ngpbkb6ibtst6fkxe