This paper outlines the components of a digital spectrum twin (DST) and potential
application maps that can inform automated or enhanced spectrum management decisions …

The world of Cognitive Radio (CR) technology comprises of intelligent wireless
communication systems, designed using transceivers that are apt to automatically detect …

Abstract Spectrum Sensing as a Service (SSaS) has recently emerged as a promising
solution to realize dynamic spectrum access networks (aka, cognitive radio networks …

Unsupervised ensemble learning refers to methods devised for a particular task that
combine data provided by decision learners taking into account their reliability, which is …

Decision-making procedures, when a set of individual binary labels is processed to produce
a unique joint decision, can be approached modeling the individual labels as multivariate …

Spectrum-sensing as a service has been proposed and studied by many researchers over
the past decade as a promising approach to support the viability of cognitive radio networks …

Data sets containing instances that are assigned values by an ensemble of annotators of
unknown accuracy are becoming increasingly common. Binary, potentially correlated data …

Cognitive Radio (CR) deals with the designing of intelligent wireless communication
systems through the use of transceivers that are capable of automatically detecting and …

The spectrum deficiency in cognitive radio can be solved effectively by utilisation of radio
spectrum. The spectrum is not effectively shared among all the other users. Since the users …

Data sets containing instances that are assigned values by an ensemble of annotators are
becoming increasingly common. These annotators or classifiers are often of unknown …