A survey on platoon-based vehicular cyber-physical systems
Vehicles on the road with some common interests can cooperatively form a platoon-based
driving pattern, in which a vehicle follows another vehicle and maintains a small and nearly …
driving pattern, in which a vehicle follows another vehicle and maintains a small and nearly …
Age of information aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective
In this paper, we investigate the problem of age of information (AoI)-aware radio resource
management for expected long-term performance optimization in a Manhattan grid vehicle …
management for expected long-term performance optimization in a Manhattan grid vehicle …
Chaincluster: Engineering a cooperative content distribution framework for highway vehicular communications
The recent advances in wireless communication techniques have made it possible for fast-
moving vehicles to download data from the roadside communications infrastructure [eg …
moving vehicles to download data from the roadside communications infrastructure [eg …
Content in motion: An edge computing based relay scheme for content dissemination in urban vehicular networks
Content dissemination, in particular, small-volume localized content dissemination,
represents a killer application in vehicular networks, such as advertising distribution and …
represents a killer application in vehicular networks, such as advertising distribution and …
Scheduling the operation of a connected vehicular network using deep reinforcement learning
Driven by the expeditious evolution of the Internet of Things, the conventional vehicular ad
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …
Resource allocation for delay-sensitive vehicle-to-multi-edges (V2Es) communications in vehicular networks: A multi-agent deep reinforcement learning approach
The rapid development of internet of vehicles (IoV) has recently led to the emergence of
diverse intelligent vehicular applications such as automatic driving, auto navigation, and …
diverse intelligent vehicular applications such as automatic driving, auto navigation, and …
Deep reinforcement learning-based scheduling for roadside communication networks
The proper design of a vehicular network is the key expeditor for establishing an efficient
Intelligent Transportation System, which enables diverse applications associated with traffic …
Intelligent Transportation System, which enables diverse applications associated with traffic …
A reinforcement learning technique for optimizing downlink scheduling in an energy-limited vehicular network
In a vehicular network where roadside units (RSUs) are deprived from a permanent grid-
power connection, vehicle-to-infrastructure (V2I) communications are disrupted once the …
power connection, vehicle-to-infrastructure (V2I) communications are disrupted once the …
Toward 5G spectrum sharing for immersive-experience-driven vehicular communications
Dynamic sharing of 5G and the DSRC spectrum has been considered as an attainable
paradigm to provide VANETs with massive system capacity, reduced latency, and lowered …
paradigm to provide VANETs with massive system capacity, reduced latency, and lowered …
Collaborative content delivery in software-defined heterogeneous vehicular networks
The software defined heterogeneous vehicular networks (SD-HetVNETs), which consist of
cellular base stations (CBSs) and roadside units (RSUs), have emerged as a promising …
cellular base stations (CBSs) and roadside units (RSUs), have emerged as a promising …