In this work, the performance of support vector machine (SVM)-based classifier, applied for
spectrum sensing in cognitive radio (CR) networks, is analyzed. A single observation given …

Cognitive radio network is considered as an ideal answer to the spectrum utilization problem
of the current era. In cognitive radio, spectrum sensing has created new opportunities, as it …

Cognitive radio-based Internet of Things (CR-IoTs) provide an efficient spectrum
management for IoT networks with massive wireless access and data transmission needs …

The wireless remote traffic is growing in an unmatched strategy, which is the origin of the
frequency spectrum shortage. A few overviews of the spectrum utilization show that the total …

After 70 years of intricate development, machine learning, represented by deep learning, is
based on the multilevel structure of the human brain and the layer-by-layer analysis and …

According to CISCO report threefold increase in the mobile traffic can be witnessed between
2016 and 2021. With this, there will be a problem of spectrum allocation and usage. So, to …

Spectrum sensing is one of the major concerns in reaching an efficient Quality of service
(QOS) in the advanced mobile communication system. The advanced engineering sciences …

This paper proposes a new convolutional neural network (CNN) based spectrum sensing
technique for cognitive radio communications. The proposed technique determines the …

Due to the fixed frequency spectrum division policy, the radio spectrum resource is
becoming increasingly scarce because many licensed frequency bands are not always fully …

With the continuous evolution and in‐depth integration between wireless communication
and emerging technology such as internet of things (IoT), artificial intelligence (AI) etc …