The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and
prospective application areas, such as smart metering, smart homes, smart industries, and …

Abstract In Orthogonal Frequency Division Multiplexing OFDM, a cyclic prefix (CP) is applied
to reduce the intervention between symbols. The CP results in bandwidth wastage, and the …

Transfer learning has recently been developed as a powerful technique for accurate
classification of medical images. It is predominantly used in deep learning models to …

Cognitive radio networks (CRN) is IEEE 802.22 standards, also known as 5-G wireless
technology. CRN carries primary users (PU) or licensed users and secondary users (CR) or …

In this paper, we compare local and global adaptive threshold estimation techniques for
energy detection in Cognitive Radio (CR). By this comparison, a sum-up synopsis is …

In this paper, we present a modified Otsu's algorithm for solving the automatic threshold
estimation problem in energy detection based Cognitive Radio (CR) application. The …

Multiple spectrum measurement campaigns around the world have shown that even though
the frequencies below 6 GHz are very crowded, enough portions of the spectrum remain …

Self-adaptive threshold adjustment algorithms (SATAs) are required to reconfigure their
parameters autonomously (ie to achieve self-parameter adjustment) at runtime and during …

Currently, the 4G network service has caused massive digital growth in high use. Video
calling has become the go-to Internet application for many people, downloading even huge …

This paper presents an efficient adaptive two‐stage spectrum sensing model for the
cognitive radio (CR) systems. The proposed model combines two well‐known techniques …