The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

Multi-Access Edge Computing (MEC) attracts much attention from the scientific community
due to its scientific, technical, and commercial implications. In particular, the European …

Multi-access edge computing (MEC) has been one promising solution to reduce the
computation delay of wireless devices. Due to the high spectrum efficiency of non …

In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

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

In this paper, we devise an efficient and flexible management for mobile edge computing
(MEC)-aided industrial Internet of Things (IIoT), from a federated learning approach. In the …

In this paper, we investigate a mobile edge computing (MEC) network, where the user has
some computational tasks to be assisted by multiple computational access points (CAPs) …

In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

In this paper, we investigate intelligent ubiquitous computing for future unmanned aerial
vehicle (UAV)-enabled mobile edge computing network (MEC) systems, where multiple …

In this paper, we investigate how to optimize the federated edge learning (FEEL) in
unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) for B5G/6G networks …