Resource Allocation and Collaborative Offloading in Multi-UAV-Assisted IoV With Federated Deep Reinforcement Learning

Zheyi Chen; Zhiqin Huang; Junjie Zhang; Hongju Cheng; Jie Li

doi:10.1109/jiot.2024.3516838

Back

Resource Allocation and Collaborative Offloading in Multi-UAV-Assisted IoV With Federated Deep Reinforcement Learning

IEEE Internet of Things Journal 12(5): 4629-4640

Article 2025 English

Abstract

1 min read

In Internet of Vehicles (IoV), unmanned aerial vehicles (UAVs) assisted mobile edge computing (MEC) can improve the system performance and communication range o

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2024

A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network

Prakhar Consul, Ishan Budhiraja, Deepak Garg, Neeraj Kumar, Ramendra K. Singh, Ahmad Almogren

Article2021

5G-Enabled UAV-to-Community Offloading: Joint Trajectory Design and Task Scheduling

Zhaolong Ning, Peiran Dong, Miaowen Wen, Xiaojie Wang, Lei Guo, Ricky Y. K. Kwok, H Vincent Vincent Poort

Preprint2022

AI-Empowered Data Offloading in MEC-Enabled IoV Networks

Afonso Fontes, Igor de L. Ribeiro, Khan Muhammad, Amir Gandomi, Gregory Gay, Victor Hugo C. de Albuquerque

arXiv (Cornell University)

Article2025

RIS-Enhanced MEC Framework for Vehicular Networks: Minimizing Delay With Deep Reinforcement Learning

Shuang Zhang, Pingkang Guo, Huilong Jin, Neeraj Kumar, Peiying Zhang, Mohsen Guizani

Article2021

UAV-Assisted 5G/6G Networks: Joint Scheduling and Resource Allocation Based on Asynchronous Reinforcement Learning

Helin Yang, Jun Zhao, Jiangtian Nie, Neeraj Kumar, Kwok‐Yan Lam, Zehui Xiong