Cooperative spectrum sensing (CSS) can effectively improve sensing accuracy and
suppress channel fading effects. But it can be threatened by malicious users (MUs). MUs …

Some bands in the frequency spectrum became overloaded and others underutilized due to
considerable increase in demand and user allocation policy. Cognitive radio applies …

Abstract Cognitive Radio (CR) and Cooperative Communication provide key technologies
for efficient utilization of available unused spectrum bands (called resources) to achieve a …

Accurate spectrum sensing plays a decisive role in determining the performance of any
cognitive radio network (CRN). Spectrum sensing enables the unlicensed secondary users …

Cognitive radio (CR) is the key technology for unlicensed secondary users (SUs) to exploit
the unused spectrum of primary users (PUs) via opportunistic spectrum access. In CR …

In conventional cooperative spectrum sensing (CSS) systems, when the primary signals are
very weak, the secondary users (SUs) require long sensing time to achieve a high detection …

Cooperative spectrum sensing (CSS) is an important topic due to its capacity to solve the
issue of the hidden terminal. However, the sensing performance of CSS is still poor …

In this paper, we studied the cooperative spectrum sensing (CSS) problem based on deep
learning. The current CSS methods based on deep learning only extract general features of …

A cognitive radio (CR) is a promising technology to solve the emerging spectrum crisis,
especially for applications where thousands of wireless sensor nodes are deployed. Since …