Multi-Objective Deep Reinforcement Learning Assisted Resource Allocation for MEC-Caching-coexist System-Reference-Cited by-同舟云学术

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Multi-Objective Deep Reinforcement Learning Assisted Resource Allocation for MEC-Caching-coexist System

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Li Zan¹^ORCID,Zhao Zhongling¹^ORCID,Shi Jia¹^ORCID,Si Jiangbo¹^ORCID,Xiao Pei²^ORCID,Tafazolli Rahim²^ORCID,Hu Hang³^ORCID

Affiliation:

1. School of Telecommunications Engineering, State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

2. Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K.

3. Information and Navigation College, Air Force Engineering University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10233695.pdf?arnumber=10233695

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing;IEEE Access;2024

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