Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-
assisted multi-user communication (IRS-MUC) systems. However, different from traditional …

In this article, we investigate the problem of decentralized federated learning (DFL) in
Internet of Things (IoT) systems, where a number of IoT clients train models collectively for a …

As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …

Cognitive radio-based Internet of Things (CR-IoT) network provides a solution for IoT
devices to efficiently utilize spectrum resources. Spectrum sensing is a critical problem in CR …

Cognitive Radio (CR) technology was first introduced to solve the problem of radio spectrum
under-utilization. A cognitive radio network consists of smart radio devices that have the …

This paper investigates the orthogonal time frequency space (OTFS) transmission for
enabling ultra-reliable low-latency communications (URLLC). To guarantee excellent …

Spectrum sensing is an efficient technology for addressing the shortage of spectrum
resources. Widely used methods usually employ model‐based features as the test statistics …

The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …

Spectrum sensing is one of the crucial technologies used to solve the shortage of spectrum
resources. In this letter, based on the short-time Fourier transform (STFT) and convolutional …

Underwater target recognition is an important supporting technology for the development of
marine resources, which is mainly limited by the purity of feature extraction and the …