Cognitive radio technologies enable users to opportunistically access unused licensed
spectrum and are viewed as a promising way to deal with the current spectrum crisis. Over …

In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …

Cognitive radio (CR) is the enabling technology for supporting dynamic spectrum access:
the policy that addresses the spectrum scarcity problem that is encountered in many …

Cognitive radio networking is foreseen as the future of wireless communication networks.
Instead of operating in a predefined frequency band, cognitive wireless terminals can fully or …

The inherent scarcity of frequency spectrum, along with the fixed spectrum allocation
adopted policy, has led to a dire shortage of this indispensable resource. Furthermore, with …

Wireless sensor networks (WSN) have been recently deployed to support various Internet-of-
Things (IoT) applications, including sensing in urban environments. Accordingly, several …

Multi-channel cognitive radio ad hoc networks (CRAHNs) and information-centric
networking (ICN) will be indispensable for enabling envisioned multimedia-based smart …

In this paper, a reinforcement learning technique is employed to maximize the performance
of a cognitive radio network (CRN). In the presence of primary users (PUs), it is presumed …

Cognitive radio has been considered as a key technology for future wireless
communications and mobile computing. We note the cognitive radios can form cognitive …

In recent years, cognitive radios and cognitive wireless networks have been introduced as a
new paradigm for enabling much higher spectrum utilization, providing more reliable and …