… cognitive radios has recently gained a lot of interest in the literature. In this section, artificial
intelligence and machine learning … applying learning techniques in cognitive radio networks. …

… in the radio or network. Therefore, whether we consider each device in a wireless network
to be … multiple devices controlled by a single CE in a cognitive network [6], it is clear that the …

… In cognitive radio upper layer issues fuzzy Logic is used to … ) is also used for cognitive radio
spectrum sensing to provide … healing of ad hoc cognitive radio networks used in emergency …

… (WLANs) and multi-hop wireless networks, our focus is going to be dominantly on multi-hop
wireless networks such as mobile ad-hoc networks, wireless mesh networks and CRNs. We …

… a comprehensive survey of various artificial intelligence (AI) techniques implemented in
cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI …

… of the available spectrum in wireless communication networks. Spectrum Sensing (SS) is …
problems in CR networks. From another side, CR networks can utilize Artificial Intelligence (AI) …

… artificial intelligence and wireless networking sciences. This paper focuses on the learning
and reasoning challenges within cognitive radio networks. … behavior of cognitive radio nodes. …

… conducted to optimize cognitive radio, and in modern conditions, the introduction of artificial
intelligence algorithms at the network level (so-called cognitive radio networks) would lead …

… The reasoning engine is what is often referred to in artificial intelligence (AI) literature as an
expert system. The learning engine is responsible for manipulating the knowledge base from …

… The sustainable properties of Wireless Sensor Networks (WSNs) play a vital role in the …
of this, Cognitive Radio (CR) merged with WSN as Cognitive Radio Sensor Networks (CRSNs) …