Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …

Non-orthogonal multiple access (NOMA) promises to fulfill the fast-growing connectivities in
future Internet of Things (IoT) using abundant multiple-access signatures. While explicitly …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure internet of things (IoT). Many deep learning (DL) based …

Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Automatic modulation classification (AMC) is a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …

Deep learning (DL)-based automatic modulation classification (AMC) has made
breakthroughs and is generally used for signal detection and recognition in wireless …

Modulation classification has been widely studied in recent years. However, few studies
focus on the performance degradation in multipath fading channels, whose impact is non …

Deep neural networks (DNNs) have been widely used for learning precoding policy to
achieve good system performance with low computational complexity. However, existing …

The application of deep learning (DL) in the field of network intrusion detection (NID) has
yielded remarkable results in recent years. As for malicious traffic classification tasks …

Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the modulation type of the transmitted …