Priority-Aware Multi-Agent Deep Reinforcement Learning for Resource Scheduling in C-V2X Mode 4 Communication

Priority-Aware Multi-Agent Deep Reinforcement Learning for Resource Scheduling in C-V2X Mode 4 Communication

The need for vehicular networks with exceptional levels of reliability and negligible delay in communication, especially with the ongoing 5G and the upcoming generation of 6G systems, has given rise to Cellular-Vehicle-to-Anything C-V2X systems. This paper proposes a novel framework of Priority-Awar...

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Bibliographic Details
Main Authors: Ahmed Thair Shakir, Barbara M. Masini, Nemer Radhwan Khudhair, Rosdiadee Nordin, Angela Amphawan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
VANETs
C-V2X
PA-MADRL
intelligent transportation systems
autonomous driving
Online Access:https://ieeexplore.ieee.org/document/11072434/
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