The spectrum sensing problem has gained new aspects with cognitive radio and
opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive …

With the rapid deployment of new wireless devices and applications, the last decade has
witnessed a growing demand for wireless radio spectrum. However, the fixed spectrum …

We propose novel cooperative spectrum sensing (CSS) algorithms for cognitive radio (CR)
networks based on machine learning techniques which are used for pattern classification. In …

Device-to-device (D2D) communication as an underlaying cellular network empowers user-
driven rich multimedia applications and also has proven to be network efficient offloading …

Widely regarded as one of the most promising emerging technologies for driving the future
development of wireless communications, cognitive radio has the potential to mitigate the …

Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the
wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed …

With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …

Industrial wireless sensor networks (IWSNs) have to contend with environments that are
usually harsh and time-varying. Industrial wireless technology, such as WirelessHART and …

In a cognitive radio network (CRN), in-band spectrum sensing is essential for the protection
of legacy spectrum users, with which the presence of primary users (PUs) can be detected …

The dramatic growth of smart devices catering content-centric data traffic has fueled the
need for group communication services in cellular networks, among which multicasting is of …