Abstract In Heterogeneous Vehicle-to-Everything Networks (HVNs), multiple users such as
vehicles and handheld devices and infrastructure can communicate with each other to …

In the era of explosive growth of multimedia applications and services, with the onset of new
autonomous vehicular technology demands and the demand on limited spectrum resources …

Multi-agent reinforcement learning (MARL) has pre-viously been employed for efficient
spectrum sharing among co-operative connected vehicles. However, we show in this paper …

Internet-of-Vehicles (IoV), an important part of Intelligent Transportation Systems, is one of
the most strategic applications in smart cities initiatives. The mMTC and URLLC functions of …

It is crucial to multiplex channel resources efficiently in wireless networks due to the link
interference and wireless spectrum scarcity. In this paper, we study the allocation problem of …

Vehicular communications, as a key application in five-generation (5G) systems, enable the
road traffic to be safer and the road services to be more convenient. Known as vehicle-to …

Spectrum sharing technology has been widely used for better spectrum efficiency. However,
the interference issue between the primary and secondary networks poses a significant …

Semantic communication and spectrum sharing are pivotal technologies in addressing the
perennial challenge of scarce spectrum resources for the sixth-generation (6G) …

Spectrum sharing is a pivotal technology for integrated satellite-maritime network to improve
spectrum efficiency. However, the majority of existing spectrum sharing approaches relied …

In this paper, we propose a distributed sidelink resource allocation approach named
federated multi-agent deep Q network (FMDQN). The objective is the network spectrum …