With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

With the explosive growth of diverse Internet of Things (IoT) applications, mobile edge
computing (MEC) has been brought to settle the conflict between computation-intensive …

Mobile Edge Computing (MEC) is a promising technology in the next generation network,
which provides computing services for user equipments (UEs) to reduce the task delay and …

In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular
networks, where UAVs work as aerial users to collect various sensory data, and send the …

Wireless networks are expected to provide connectivity to an increasing number of users
with heterogeneous requirements. Future wireless networks will integrate aerial and …

In the resource management of wireless networks, Federated Learning has been used to
predict handovers. However, non-independent and identically distributed data degrade the …

The topic of anonymous unmanned aerial vehicle (UAV) localizing based on angle
estimation has been frequently discussed in the past few years. However, the existing …

Vehicular social networks (VSNs) have emerged as the promising paradigm of vehicular
networks that can improve traffic safety, relieve traffic congestion and even provide …