Compressive sensing (CS) has received much attention in several fields such as digital
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …

This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

The development of the Internet-of-Things (IoT) security is comparatively slower than the
pace of the IoT innovations. The seamless IoT network operates in an untrusted environment …

Cognitive radio (CR) has been considered as a potential candidate for addressing the
spectrum scarcity problem of future wireless networks. Since its conception, several …

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 …

This paper proposes efficient algorithms for group sparse optimization with mixed l 2, 1-
regularization, which arises from the reconstruction of group sparse signals in compressive …

This paper develops the Decentralized Linearized Alternating Direction Method of
Multipliers (DLM) that minimizes a sum of local cost functions in a multiagent network. The …

It has been 20 years since the concept of cognitive radio (CR) was proposed, which is an
efficient approach to provide more access opportunities to connect massive wireless …

This paper presents two new algorithms for wideband spectrum sensing at sub-Nyquist
sampling rates, for both single nodes and cooperative multiple nodes. In single-node …

In cognitive radio, one of the main challenges is wideband spectrum sensing. Existing
spectrum sensing techniques are based on a set of observations sampled by an …