Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

Vehicular edge computing (VEC) is an effective method to increase the computing capability
of vehicles, where vehicles share their idle computing resources with each other. However …

The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …

With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

With the rapid development of Internet-of-Things (IoT) and the explosive advance of deep
learning, there is an urgent need to enable deep learning inference on IoT devices in Mobile …

6G wireless networks have raised increasing attention with computation-sensitive services
such as AI Internet of things (AIoT) and mobile augmented reality/virtual reality (AR/VR) …

In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …

In order to fit the requirements of future enterprise management networks with multiple
service providers, conventional mobile edge computing enabled small cells (MEC-SCs) …