Publisher Summary This chapter discusses the motivation and the important role of network
support in cognitive radios. It introduces the radio environment map (REM) and explains …

This chapter discusses the use of machine and deep learning in spectrum and resource
optimisation for the cognitive radio networks. Indeed, modern cognitive radio networks are …

Intelligent learning and adaptation allow cognitive radios (CRs) to maximise available
spectrum while maintaining stable connections. Cognitive radio technology may detect …

Cognitive Radio (CR) is a key technology for improving the utilization level of the overall
radio spectrum in wireless communications. It is able to sense and change its transmission …

This paper studies the performance of cognitive radios in a scenario where different pairs of
radios adopt different cognition/decision making approaches. We want to assess: 1) if there …

The management of future networks is expected to fully exploit cognitive capabilities that
embrace knowledge and intelligence, increasing the degree of automation, making the …

A cognitive radio engine (CE) is where the advance adaptation algorithms for a cognitive
radio (CR) is implemented. A CE is an intelligent agent which observes the radio …

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

In today's engineering challenge intelligence is required to keep up with the rapid evolution
of wireless communications, specifically managing and allocating the scarce, radio spectrum …

The adoption of the Fifth Generation (5G) and beyond 5G networks is driving the demand for
learning approaches that enable users to co-exist harmoniously in a multi-user distributed …