Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …

Spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility are four
major functions of cognitive radio systems. Spectrum sensing is utilized to observe the …

Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …

Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

Due to the under-utilization problem of the allocated radio spectrum, cognitive radio (CR)
communications have recently emerged as a reliable and effective solution. Among various …

Cognitive radio offers the promise of intelligent radios that can learn from and adapt to their
environment. To date, most cognitive radio research has focused on policy-based radios that …

Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

Spectrum decision is the ability of a cognitive radio (CR) to select the best available
spectrum band to satisfy secondary users'(SUs') quality of service (QoS) requirements …

Spectrum occupancy models are very useful in cognitive radio designs. They can be used to
increase spectrum sensing accuracy for more reliable operation, to remove spectrum …

The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …