Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

With the aim of developing a fast yet accurate algorithm for compressive sensing (CS)
reconstruction of natural images, we combine in this paper the merits of two existing …

Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …

Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

Full-duplex (FD) wireless technology enables a radio to transmit and receive on the same
frequency band at the same time, and it is considered to be one of the candidate …

Sparse representation can efficiently model signals in different applications to facilitate
processing. In this article, we will discuss various applications of sparse representation in …

Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …

Wireless networks with their ubiquitous applications have become an indispensable part of
our daily lives. Wireless networks demand more and more spectral resources to support the …

Recent deep network-based compressive sensing (CS) methods have achieved great
success. However, most of them regard different sampling matrices as different independent …