… in cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). …
emulating human biological processes such as learning, reasoning, decision making, self-…

… the spectrum selection strategy reasoning method based on bayesian learning, and further
describes the Bayesian reinforcement learning wireless spectrum management algorithm …

… Evolutionary algorithm like Genetic Algorithms (GA) is also used for cognitive radio … Case
Based Reasoning (CBR) is discussed in section which offers continuously learning process …

… , a cognitive radio learning inference and decision-making engine based on Bayesian network
(BN) … At the same time, there are some limits on capability to learn and reason. Our paper …

… network do experience some rare and hard-to-predict anomaly events, for example, hardware
failures and high radio … cellular radio access network system enhanced with deep learning…

… wireless modeling system, radio performance and resource … radio adaptation, and (3) a
reasoning and decision making core with a knowledge base that performs intelligent reasoning …

… learning and reasoning based on this information, network entities can develop beliefs4
about the current state of the communication system and its evolution over time, based on which …

… CR networks with upto-date global radio environment information, we propose the radio …
on casebased learning/reasoning which leverages various learning algorithms and selects …

… radio networks: absent coordination, there may be collision, congestion or interference, with
concomitant loss of performance. Cognitive radio networks … For a reason that will become …