This study focuses on edge computing in dense millimeter wave vehicle-to-everything (V2X)
networks. A control problem is formulated to minimize the energy consumption under delay …

Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional
ability to improve the vehicles' capacity to manage computation-intensive applications with …

Unmanned Surface Vehicles (USVs) can support various maritime applications, such as
ocean environment monitoring and target tracking applications. Mobile Edge Computing …

This work proposes a dynamic numerology scheme assignment framework to provision
mobile-edge computing (MEC) for massive Internet of Things (IoT) networks via unmanned …

Multi-access Edge Computing (MEC) has played an important role in realizing intelligent
beyond 5G (B5G) vehicular networks. The computation tasks of intelligent applications can …

Recently, unmanned aerial vehicle (UAV) has been considered as a promising technique in
mobile edge computing networks, and enhances the performances of ultra-reliable and low …

With the promotion of 5G commercial deployment, various application scenarios such as
smart transportation more have emerged. Many of latency-sensitive vehicle services …

With the rapid development of autonomous driving technologies, it becomes difficult to
reconcile the conflict between ever-increasing demands for high process rate in the …

Mobile edge computing (MEC) is a promising technique to meet the demand of network
resources in vehicle-to-everything (V2X) networks. By offloading computation-intensive and …

By leveraging the 5G enabled V2X networks, the vehicles connected by cellular base-
stations can support a wide variety of computation-intensive services. In order to solve the …