With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …

This paper investigates the spectrum sharing problem in vehicular networks, where multiple
vehicle-to-vehicle (V2V) links reuse the frequency spectrum preoccupied by vehicle-to …

Vehicular communications is one of the important applications of 5G communication
systems. The allocation scheme of scarce wireless resources will directly affect the quality of …

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 …

In vehicular communications, intracell interference and the stringent latency requirement are
challenging issues. In this paper, a joint spectrum reuse and power allocation problem is …

With the rapid development of Internet of Vehicles (IoV), an increasing number of vehicular
users (VUEs) will connect to the Internet via 5G and beyond 5G (B5G) networks, which …

In Internet of Vehicles (IoV), information freshness is a significant indicator to indemnify road
traffic safety, which is measured by Age of Information (AoI). In this article, we consider the …

In this article, we investigate spectrum allocation in vehicle-to-everything (V2X) network. We
first express the V2X network into a graph, where each vehicle-to-vehicle (V2V) link is a …

In this paper, we investigate the joint channel al-location and power control problem in
vehicular networks. Considering the different quality-of-service (QoS) requirements for …

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 …