A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

For effective utilization of the available spectrum and for preventing the channel interference
among the users the sensing of the availability of spectrum becomes an essential task in …

Spectrum sensing methods based on deep learning require massive amounts of labeled
samples. To address the scarcity of labeled samples in a real radio environment, this paper …

We expect that 5G will support a large volume of data traffic to provide various services with
a low latency. This will inevitably require an increased amount of energy. Wireless power …

Cognitive radio (Cr) is one of among the most promising developments, which combines
optical non-orthogonal multiple access (O-NOMA) methods to increase the fifth generation …

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

This study deals with implementation and verification of the cyclostationary feature detector
suitable for DVB‐T signals. A new decision statistic has been proposed for a multi‐cycle …

We consider the cooperative spectrum sensing problem in cognitive radios as a deep
learning-based classification problem, under generalized fading scenarios. In particular, we …

In this letter, a cooperative spectrum sensing scheme in the absence of dedicated reporting
channels is presented. In such case, the secondary users report their decisions to the fusion …

Reporting channels are essential for implementing cooperative spectrum sensing (CSS) in
cognitive radio technology. In this paper, a novel decentralized CSS scheme capable of …