A wide variety of works have been conducted in vehicle-to-everything (V2X)
communications to enable a variety of applications for road safety, traffic efficiency and …

Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA)
schemes can serve a pool of users without exploiting the scarce frequency or time domain …

This paper investigates the spectrum sharing problem in vehicular networks based on multi-
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …

This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …

Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …

Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …

As wireless networks evolve toward high mobility and providing better support for connected
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …

This article investigates semantic communication in high-speed mobile Internet of Vehicles
(IoV), focusing on spectrum sharing between vehicle-to-vehicle (V2V) and vehicle-to …

Ultra reliable low latency communication (URLLC) in vehicular networks is crucial for safety-
related vehicular applications. Mini-slot with a short packet that carries only a few symbols is …