Cognitive radio networks (CRN), in their quest to become the preferred next-generation
wireless communication paradigm, will depend heavily on their ability to efficiently manage …

With the fast adoption of Internet of Things devices in our lives, the demand for the wireless
spectrum has increased manyfold. With existing static spectrum allocation policies in use, it …

In cluster-based cooperative cognitive radio networks (CCRNs), spectrum sensing and
decision making processes to determine whether the primary user (PU) signal is present or …

Cognitive radio networks (CRN) are currently gaining immense recognition as the most-
likely next-generation wireless communication paradigm, because of their enticing promise …

This paper investigates the practical limitations and considerations of implementing a
reinforcement learning framework within real-time wireless communication systems. Trade …

The modern battlefield is a demanding environment for tactical radio networks in that in
addition to the variation in the wireless propagation environment, the radio must co-exist and …

Spectrum is limited, but the demand for it is growing steadily with new users, applications,
and services in both commercial and tactical communications. The current paradigm of static …

Abstract Much interest in Cognitive Radio Networks (CRNs) has been raised recently by
enabling unlicensed (secondary) users to utilize the unused portions of the licensed …

To meet the explosive data rate requirements of future cognitive cities, mobile and wireless
technologies are evolving at a very fast pace. With the faster adoption of bandwidth-hungry …

In the 15 years since inception, extensive research has been conducted on various
proposed features associated with the cognitive radio paradigm. This paper proposes an …