The existing computation and communication (2C) optimization schemes for vehicular edge
computing (VEC) networks mainly focus on the physical domain without considering the …

Both the Mobile edge computing (MEC)-based and fog computing (FC)-aided Internet of
Vehicles (IoV) constitute promising paradigms of meeting the demands of low-latency …

Mobile edge computing (MEC) has been developed as a key technique to handle the
explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable …

Task offloading in vehicular networks is an effective technology to promote vehicular service
quality through offloading computation tasks to remote servers. In order to reduce task …

Mobile Edge Computing (MEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this paper, to reduce the latency of the computation …

Benefiting from its abundant computing resources and low computing latency, mobile edge
computing (MEC) is a promising approach for enhancing the computing capacity of the 5G …

Due to the long-distance communication and the limited resources, traditional full offloading
algorithms cannot fully exploit radio and computation resources, which may cause more …

Mobile edge computing (MEC) can satisfy the communication requirements of ultra-high
reliability and ultra-low latency in 5G-enabled vehicular networks, since it provides Internet …

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 …

By migrating computation-intensive tasks to edge nodes (ENs) deployed at the edge of the
network in Internet of Vehicles (IoV), Mobile Edge Computing (MEC) significantly improves …