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Knowledge Management Toolbox: Machine Learning for Cognitive Radio Networks
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
doi:10.1109/mvt.2012.2190196
fatcat:b4ogv3i55ngpbkb6ibtst6fkxe