The landscape of fifth generation (5G) and beyond 5G (B5G)-enabled Internet of Things
(IoT) is expected to seamlessly and ubiquitously connect everything, which includes 5G …

Automatic modulation classification is of crucial importance in wireless communication
networks. Deep learning based automatic modulation classification schemes have attracted …

Automatic modulation categorization (AMC) is used in many applications such as cognitive
radio, adaptive communication, electronic reconnaissance, and non-cooperative …

Automatic modulation classification is a challenging and critical task in the field of
communication. Deep convolutional networks (ConvNets) have been recently applied in …

This study proposed a two-stage method, which combines a convolutional neural network
(CNN) with the continuous wavelet transform (CWT) for multiclass modulation classification …

Data deduplication for edge-based mobile crowdsensing services removes duplicate data to
minimize storage space and enhance communication efficiency. However, secure data …

Automatic modulation classification (AMC) is of crucial importance in the sixth generation
wireless communication networks. Deep learning (DL)-based AMC schemes have attracted …

Automatic modulation identification (AMI) is a technique to detect the modulation type and
order of a received signal, which has the potential to enhance cognitive radio capabilities for …

For ultra-dense networks with wireless backhaul, caching strategy at small base stations
(SBSs), usually with limited storage, is critical to meet massive high data rate requests. Since …

Automatic modulation classification (AMC) is one of the most important technologies of
cognitive radios and ubiquitous internet of things (IoT) cyber–physical systems, and it can be …