IEEE

Graph Neural Networks and Deep Reinforcement Learning-Based Resource Allocation for V2X Communications

Abstract: In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, cellular vehicle-to-everything (C-V2X) communication has attracted much attention due to its superior performance ...
IEEE

Hierarchical Graph-Based Multi-Agent Reinforcement Learning for Resource Allocation in Heterogeneous Vehicular Networks

Abstract: Vehicular networks face significant challenges in resource allocation due to heterogeneous Quality-of-Service (QoS) requirements and dynamic channel conditions. This paper proposes an ...