This paper investigates the resource allocation problem in device-to-device-based vehicular
communications, based on slow fading statistics of channel state information (CSI), to …

Increased data traffic resulting from the increase in the deployment of connected vehicles
has become relevant in vehicular social networks (VSNs). To provide efficient …

In this article, we exploit deep reinforcement learning for joint resource allocation and
scheduling in vehicle-to-vehicle (V2V) broadcast communications. Each vehicle, considered …

In this paper, we investigate joint vehicle association and multi-dimensional resource
management in a vehicular network assisted by multi-access edge computing (MEC) and …

Recently, the 3rd Generation Partnership Project (3GPP) has introduced cellular vehicular-to-
everything (C-V2X) standards to support vehicle-to-everything (V2X) communications. In C …

As the fast development of vehicular network, the layout of the roadside unit (RSU) is
indispensable. Due to the shackles of factors, such as coverage and cost, there is an urgent …

In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …

With the evolutionary development of automobile industry, modern transportation systems
cause a series of critical problems, such as increased energy consumption and air pollution …

Different from the traditional device-to-device (D2D) communication, vehicle-to-everything
(V2X) communication is characterized by the high mobility of vehicles, which introduces the …

To meet the growing demand of mobile data traffic in vehicular communications, the vehicle-
to-small-cell (V2S) network has been emerging as a promising vehicle-to-infrastructure …