… adaptively dependent on time-varying spectrum resources. In this paper, an adaptive
spectrum decision framework is proposed with the consideration of all decision events and …

… Consequently, the focus of this paper will be on spectrum decision frameworks in both
centralized and distributed CRNs. Readers are referred to [2] and [11] for good introductions to …

… , hence IoT connections are drifting towards Cognitive Radio Networks (CRNs). … their wireless
application over a wide RF spectrum range. In this chapter a spectrum decision framework …

… a spectrum decision framework for cognitive radio network which … The framework provides
a mapping from data packet to the … models used in the design of the framework. The overall …

… a Bayesian network model for the spectrum occupancies. We … radio network, as well as the
basics of Bayesian network. Then, we propose a Bayesian network structure for the spectrum …

Spectral decision making is a function of the cognitive cycle. It aims to select spectral
opportunities within a set of finite possibilities. Decision-making methodologies, based on …

… spectrum decision framework in [14] which utilizes the parameters of a channel like bandwidth,
availability and primary user fluctuation to make the channel decision. … MAC framework …

… The main functionalities required for channel management in CR scenarios are spectrum
sensing, spectrum decision, spectrum sharing, and spectrum mobility (see Fig. 3). This is …

… Spectrum Sensing Framework In this paper we develop an optimal spectrum sensing framework…
Thus, we define a new cooperative gain for the decision of the spectrum availability. The …

… spectrum bands as well as the diverse service requirements of various applications. In this
paper, a spectrum decision framework is proposed to determine a set of spectrum bands by …