Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …

Accurate spatial-temporal prediction is a fundamental building block of many real-world
applications such as traffic scheduling and management, environment policy making, and …

The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …

Recently, the term “Internet of Things”(IoT) has elicited escalating attention. The flexibility,
agility, and ubiquitous accessibility have encouraged the integration between machine …

Recent advancements in deep reinforcement learning (DRL) have led to its application in
multi-agent scenarios to solve complex real-world problems, such as network resource …

The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

The next-generation mobile cellular networks are dedicated to providing a valued and
unique service experience by supporting ultrareliable and low-latency communication …

Mobile-edge computing (MEC) sinks computation and storage capacities to network edge,
where it is close to users to support delay-sensitive services. However, due to the dynamic …

Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …

Edge computing has been considered as one of the key paradigms in the fifth-generation
(5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet …