DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks

DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks

The increasing complexity of modern automotive applications presents difficulties when running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge computing networks (VECNs) offer potential solutions through computation task offloading, ensuring prompt, energy-efficient access...

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Bibliographic Details
Main Authors: Muhammad Ayzed Mirza, Junsheng Yu, Manzoor Ahmed, Salman Raza, Wali Ullah Khan, Fang Xu, Ali Nauman
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Vehicular edge computing networks (VECNs)
Reconfigurable intelligent surface (RIS)
Task offloading
Deep reinforcement learning (DRL)
5G/6G
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823003919

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http://www.sciencedirect.com/science/article/pii/S1319157823003919

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