A constant need to increase the network capacity for meeting the growing demands of the
subscribers has led to the evolution of cellular communication networks from the first …

The number of devices is expected to radically increase in near future, with an estimate of
above 50 billion connected devices by 2020. The subscribers demand improved data rates …

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 …

The widely deployed cellular network, assisted with device-to-device (D2D)
communications, can provide a promising solution to support efficient and reliable vehicular …

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 …

Vehicular communications have attracted more and more attention recently from both
industry and academia due to their strong potential to enhance road safety, improve traffic …

Direct device-to-device (D2D) links are proposed as a possible enabler for vehicle-to-
vehicle (V2V) communications, where the incurred intracell interference and the stringent …

Vehicular networks, an enabling technology for Intelligent Transportation System (ITS),
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …

By leveraging direct device-to-device interaction, LTE vehicle-to-vehicle (V2V)
communication becomes a promising solution to meet the stringent requirements of …

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 …