Cognitive radio (CR) users can transmit data as vacant licensed bands become available.
By using machine learning, CR users can intelligently sense channel activity and determine …

The core of cognitive radio paradigm is to introduce cognitive devices able to
opportunistically access the licensed radio bands. The coexistence of licensed and …

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

Abstract<? Pub Inc> This thesis investigates different aspects of spectrum sensing in
cognitive radio (CR) technology. First a probabilistic inference approach is presented which …

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

We study cooperative spectrum sensing in cognitive radio networks (CRN) using machine
learning techniques in this paper. A low-dimensional probability vector is proposed as the …

Wireless cognitive radio (CR) is a newly emerging paradigm that attempts to
opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of …

In this paper machine learning techniques based cooperative spectrum sensing (CSS)
algorithms are investigated for cognitive radio networks (CRN). A novel support vector …

According to CISCO report threefold increase in the mobile traffic can be witnessed between
2016 and 2021. With this, there will be a problem of spectrum allocation and usage. So, to …

Efficient spectrum sensing is a crucial function in cognitive radio (CR) networks and that
enables secondary users (SUs) to detect primary user (PU) activities and make a decision to …