It is widely believed that the advances of networking technologies will reshape the future of
telecommunication system. The continuous growth in data traffic originated by mobile users …

The massive growth in mobile users and wireless technologies has resulted in increased
data traffic and created demand for additional radio spectrum. This growing demand for …

In this paper, we propose a reconfigurable intelligent surface (RIS) enhanced spectrum
sensing system, in which the primary transmitter is equipped with a single antenna, the …

The eigenvalues of the sample covariance matrix can capture signal correlations and noise
characteristics well, which are widely used for spectrum sensing in cognitive radio networks …

This comprehensive reference text discusses concepts of cognitive radio and the advances
in the field of spectrum sensing. This text discusses the concept of cognitive radio for next …

This paper focuses on the design of the optimal or near-optimal detector resorting to extreme
eigenvalues. A general framework for detector design involving model-driven and data …

In cognitive networks, efficient spectrum sensing is of great importance for communication of
unlicensed secondary users (SU) without interfering with the communication of licensed …

Large-dimensional (LD) random matrix theory, RMT for short, which originates from the
research field of quantum physics, has shown tremendous capability in providing deep …

This paper presents implementation friendly VLSI-algorithms for maximum-eigenvalue-
detection (MED), energy with minimum-eigenvalue (EME), and mean-to-square extreme …

In cognitive radio, the spectrum is being used in those modern applications that can monitor
spectrum, ie, alternative users (SUs), could use the spectrum that the main user (PU) does …