Cognitive Radio Networks (CRNs) have been proposed as a solution to the problem of
spectrum scarcity in wireless communication systems. CRNs allow for dynamic spectrum …

Recently, several Internet of Things Tools have been created, contributing to growing
network loads. To refrain from IoT should use the idea of cognitive radio networks because …

The growing cognizance of spectrum scarcity has become a more significant concern in
wireless radio communications. Due to the exponential growth of data transmission in …

Spectrum sensing in a cognitive radio network involves detecting when a primary user
vacates their licensed spectrum, to enable secondary users to broadcast on the same band …

The internet of things (IoT) may be considered as an emerging paradigm that has led to the
transformation of the physical world into an advanced system comprising interconnected …

Recently, mmWave-based massive antenna transmission and cognitive networks have
emerged as promising approaches for achieving high performances in dense, complicated …

Non-linear least squares problems arise from data fitting have received recently a lot of
attention, particularly for the estimates of the model parameters over networked systems …

Abstract Spectrum Sensing as a Service (SSaS) is emerging as the enabling business
model for efficient spectrum sharing in many recent applications. In such model, sensing …

The rapid development of wireless communication technology has led to an increasing
number of internet of thing (IoT) devices, and the demand for spectrum for these devices and …

In this paper, we derive a tight lower bound of the detection probability of the energy detector
when intelligent reflecting surface (IRS) are used. The secondary source uses the energy …