Machine learning is the powerful tool of the artificial intelligence which is popularly
implemented in several applications. Spectrum sensing is the important function of a …

In today's wireless communication technology, users are classified and assigned to the
spectrum by licensing method. There are two types of users in cognitive radio technology …

In Cognitive Radio, spectrum sensing enables dynamic spectrum access. Conventional
energy detector is a blind algorithm, where the detection performance depends on the …

A Cognitive Radio (CR) is a radio that is able to sense the spectral environment over a wide
frequency band, then use it temporarily without causing any interference to the primary user …

Spectrum sensing plays an important role in enabling cognitive radio technology for the up-
and-coming generation of wireless communication systems. Over the last decade, several …

In this work, we consider a performance comparison of deep learning-based approaches to
the problem of spectrum sensing (SS) in cognitive radios. Towards this end, we use signal …

Spectrum scarcity has been one of the most conspicuous constraints in networking, amidst
the growing demand for 5G and Internet of things (IoT) services. Consequently, a cognitive …

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 …

As a result of the huge demand and enormous usage of radio frequency spectrum and its
limited resources, the concept of cognitive radio plays a significant role in the efficient usage …

Energy detection has proved to be a promising technique for spectrum sensing owning to its
simplicity and low implementation and computational costs. However, the signals present in …