Federated learning (FL) is a distributed machine learning approach that can achieve the
purpose of collaborative learning from a large amount of data that belong to different parties …

5G technologies promise faster connections, lower latency, higher reliability, more capacity
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …

Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in
both standardization and commercial deployments. 3GPP is now entering the second phase …

In recent years, the use of cellular network technologies to provide communication-based
applications to vehicles has received considerable attention. 3GPP, the standardization …

The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of
important applications including collaborative autonomous driving and advanced …

User-centric (UC) clustering has recently emerged as a promising paradigm for enhancing
the connectivity of mobile users by grouping an appropriate number of access points (APs) …

Connected vehicles will enable the smart and autonomous transportation systems in the
future. Cellular Vehicle-to-Everything (C-V2X) communication will provide wireless …

Traffic information exchange between vehicles and city-wide traffic command center will
enable various traffic management applications in future smart cities. These applications …

Connected vehicles in vehicular networks will lead to a smart and autonomous
transportation system. These vehicles have a large number of applications that require …

Due to poor local range of the perception and object recognition mechanisms used by
autonomous vehicles, incorrect decisions can be made, which can jeopardize a fully …