With the gradually stricter requirement for multimedia applications, spectrum inefficiencies
are urgent to be relieved by sensing and utilizing Spectrum Holes (SHs) over a wide …

Frequency spectrum is a critical resource in wireless communication systems, providing
media for any communication devices from smartphones and internet-of-things devices to …

Since spectrum environment is increasingly complex and more devices accessed
communication networks, traditional spectrum sensing algorithms have not adapted to an …

Cooperative spectrum sensing (CSS) technology has been widely studied to enhance the
spectrum sharing efficiency spatially and temporally in cognitive radio networks (CRNs) …

Spectrum sensing is a critical component of Cognitive Internet of Things. It allows Secondary
Users (SUs) to access underutilized frequency bands licensed to Primary Users (PUs) …

It is imperative to address the problem of spectrum under usage and inefficiency because of
the increasing spectrum demand and slender spectrum resources. One of the salient …

Deep cooperative sensing is a cooperative spectrum sensing (CSS) algorithm based on a
deep neural network (DNN). Since training DNN requires a large amount of sample data …

Cognitive radio network (CRN) emerged to utilize the frequency bands efficiently. To use the
frequency bands efficiently without any interference on the licensed user, detection of the …

Future wireless networks are expected to be integrated into the Internet of Things (IoT),
where a large number of intelligent sensors dynamically join the internet to collaborate and …

Cognitive radio networks (CRNs) can greatly improve the temporal and spatial spectrum
utilization by identifying and exploring spectrum holes of the licensed primary users (PUs) …