Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …

Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …

In vehicular edge computing, network performance and computing resources dynamically
change, and vehicles should find the optimal strategy for offloading their tasks to servers to …

Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …

Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …

Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

The emergence of mobile edge computing provides an efficient and stable computing
platform for intelligent applications of autonomous vehicles, and deep neural network (DNN) …

Recently, the trends of automation and intelligence in vehicular networks have led to the
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …