Deep Reinforcement Learning for Online Resource Allocation in Network Slicing-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Online Resource Allocation in Network Slicing

Published:2023 Issue: Volume: Page:1-18
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Cai Yue¹,Cheng Peng²^ORCID,Chen Zhuo³,Ding Ming³^ORCID,Vucetic Branka¹^ORCID,Li Yonghui¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering, University of Sydney, Australia

2. Department of Computer Science and Information Technology, La Trobe University, Australia

3. Data61, CSIRO, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10302364.pdf?arnumber=10302364

Cited by 4 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. Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach;Sensors;2024-08-28

2. A scalable and power efficient MAC protocol with adaptive TDMA for M2M communication;Cluster Computing;2024-08-03

3. Dynamic and efficient resource allocation for 5G end‐to‐end network slicing: A multi‐agent deep reinforcement learning approach;International Journal of Communication Systems;2024-07-30

4. Drift-Aware Policy Selection for Slice Admission Control;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

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