… of the open research areas in reasoning and learning for cognitive networks. In each section,
… learning and reasoning challenges within cognitive radio networks. It discusses prominent …

… In this article we describe the cognitive radio architecture, and discuss reasoning and learning
engines. We then describe applications and how they work with the described model, and …

… radio implementation and the learning challenges foreseen in cognitive radio applications.
… Basically, they defined cognitive radio as the integration of model-based reasoning with …

… further decisions related to eg, network orchestration. In this paper, we present ATHENA,
an ML-based radio resource scheduler for virtualized Radio Access Network (RAN) system. …

… in the diverse radio segments available in the infrastructure. … notion is that a network operator
can rely on multiple radio access … of cognitive radio networks and distributed radio resource …

… This paper focuses on learning and reasoning features of cognitive radio (CR) by analyzing
primary user (PU) and secondary user (SU) data communication using home location …

… implementation of a reconfigurable radio used as the basis … by the reaof the reasoning
wrapper design in this paper is … The feasibility of a decision making, learning and contive radio …

… a policyadaptive cognitive radio. This paper targets … radio networks in Section II, spectrum
navigation for flexible spectrum usage of cognitive radios is described in Section III. Reasoning …

… The dynamic spectrum access by cognitive radio devices … radio environments and proposes
a novel policy reasoning architecture that can be used for policing a cognitive radio network…

… learning, the radio device already has some knowledge about the surrounding environment.
In unsupervised learning, the radio … the learning and reasoning is that learning considers …