Federated learning is an emerging machine learning technique that enables distributed
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …

In the Internet of Vehicles (IoV), data sharing among vehicles is critical for improving driving
safety and enhancing vehicular services. To ensure security and traceability of data sharing …

Internet of Things (IoT) is considered as the future network to support machine-to-machine
communications. To realize IoT network, a large number of IoT devices need to be deployed …

Backscatter communication has been acknowledged as an essential supplement to improve
the performance of radio-frequency-powered networks. Considering the fact that the …

Abstract Mobile Edge Computing (MEC) is a promising solution to improve vehicular
services through offloading computation to cloud servers in close proximity to mobile …

With the fast expanding scale of vehicular networks, vehicular edge computing (VEC) has
emerged and attracted growing attention from both industry and academia. Parked vehicles …

An effective way for a Mobile network operator (MNO) to improve its revenue is price
discrimination, ie, providing different combinations of data caps and subscription fees …

The burgeoning vehicular networks generate a huge amount of sensing data. Data sharing
among vehicles enables a number of valuable vehicular applications to improve driving …

In scalable video coding (SVC) multicast, videos are encoded into several layers that
represent multiple quality levels. Mobile users with different wireless channel conditions can …

The development of the blue economy stimulates the growth of maritime activities, which
presents challenges in offshore wireless communications. Increasing spectrum efficiency is …