Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Based on the four-element model, this paper reviewed the important research progress in
vehicle platoon, compared the advantages and disadvantages of different models in each …

Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are
high latency and massive data transmission in cloud-based processing. Vehicular fog …

Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Reconfigurable intelligent surfaces (RISs) can potentially combat jamming. It is non-trivial to
perform holistic selections of users, data streams, and modulation-coding modes for all …

In emergency situations, such as earthquakes, landslides and other natural disasters, the
terrestrial communications infrastructure is severely disrupted and unable to provide …

In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …

Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

In this paper, we propose a novel approach for optimal resource management and caching
in ultra-reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) …