In this paper, in order to tackle major challenges of spectrum exploration & allocation in
Cognitive Radio (CR) networks, we apply the general framework of Decision Fusion (DF) to …

This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS)
via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing …

Cognitive radio (CR) network has emerged as a potential solution to the under-utilization
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …

As the limited communication spectrum can not meet the demand of the exponential growth
of intelligent connected devices in the internet of things (IoT) and typical smart city …

This paper deploys the Convolutional Neural Network (CNN) to learn and set the statistical
test in Spectrum Sensing (SS) task of multiple primary user (PU) sources in massive …

In this paper, we propose a spectrum sensing (SS) design for massive MIMO (M-MIMO)
antennas system based on decision threshold optimization given a fixed subset of antennas …

This book introduces the various approaches and tools used for modelling different
propagation environments and lays the foundation for developing a unified theoretical …

Massive multiple-input multiple-output (MIMO) is considered as a breakthrough technology
in 5G and beyond 5G systems. Some of its main advantages are providing high spectral …

Cognitive radio (CR) network has emerged as a potential solution to the under-utilization
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …

In order to analyze the noise spectrum of converter substation and control the occupational
exposure noise of operators at an acceptable level, this paper makes field measurement …