Modern everyday life keeps making wireless communications more and more popular. The
wireless communications landscape is highly varying and its success depends on the …

Learning mechanisms are essential for the attainment of experience and knowledge in
cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1] …

This chapter presents a bio‐inspired machine‐learning approach that will be applied to the
moving cognitive access points (MCAPs) problem. The MCAPs concept is considered as a …

Rapid evolution of technologies, especially in user terminals, produces a vast amount of
data, arising from (a) services/applications, that is service data,(b) users, that is user data or …

Cognition is the feature that will dramatically change the behaviour of both devices and
networks in the emerging wireless communication environments. The so-called cognitive …

Learning mechanisms are essential for the attainment of experience and knowledge in
cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states …