Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …

Increasing number of antennas are closely packed in emerging multiantenna systems and
correlation among them can no longer be ignored. In this paper, such a multiantenna …

With the rise of the Internet-of-Things (IoT), new requirements have been brought into
communication networks to make them more efficient, sustainable, and self-sufficient …

In this paper, we consider a cognitive radio system with some of secondary users (SUs)
equipped with multiple antenna full-duplex transceivers. We design a hybrid system to …

In a clinical scenario when the patient is far from the hospital, the patient is not treated in
time. In that scenario, the medical telemetry network plays a vital role. So, it is intended to …

To mitigate spectrum scarcity, the cognitive radio (CR) paradigm has been invoked for
improving the overall exploitation of the licensed spectrum by identifying and filling the free …

Multiantenna receivers are often deployed in cognitive radio systems for accurate spectrum
sensing. However, correlation among signals received by multiple antennas in these …

Due to the ever-expanding applications of the Internet-of-Things (IoT), designing energy-and
spectrally-efficient transmission schemes to support massive connections and devices is …

Cognitive radio (CR) techniques have been proposed for improving the spectral efficiency
by exploiting the temporarily unoccupied segments of the licensed spectrum, provided that …

Noncontiguous orthogonal frequency division multiplexing (NC‐OFDM) is considered a
suitable candidate for the cognitive radio network (CRN) to accomplish efficient data …