Caching on the Sky: A Multiagent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching-Reference-Cited by-同舟云学术

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Caching on the Sky: A Multiagent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching

Published:2024-09-01 Issue:17 Volume:11 Page:28213-28226
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Li Xuanheng¹^ORCID,Liu Jiahong¹^ORCID,Chen Xianhao²^ORCID,Wang Jie³^ORCID,Pan Miao⁴^ORCID

Affiliation:

1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

2. Department of Electrical and Electronic Engineering, University of Hong Kong, Pok Fu Lam, Hong Kong

3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

4. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

Funder

National Natural Science Foundation of China

Science and Technology Program of Liaoning Province

Fundamental Research Funds for the Central Universities

HKU IDS Research Seed Fund

Dalian Science and Technology Innovation Fund

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/6488907/10643444/10530984-aam.pdf

Reference45 articles.

1. 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice

2. Cisco annual Internet report (2018–2023) white paper;Cisco,2020

3. Distributed Cooperative Caching in Unreliable Edge Environments

4. Deep Reinforcement Learning for Cooperative Content Caching in Vehicular Edge Computing and Networks

5. Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

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