Universal Vertical Applications Adaptation for Open RAN: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Universal Vertical Applications Adaptation for Open RAN: A Deep Reinforcement Learning Approach

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC)
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Author:

Huang Yi-Cheng¹,Lien Shao-Yu¹,Tseng Chih-Cheng²,Deng Der-Jiunn³,Chen Kwang-Cheng⁴

Affiliation:

1. CSIE of NCCU

2. EE of NIU

3. CSIE of NCUE

4. EE of USF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10014682/10014702/10014755.pdf?arnumber=10014755

Reference16 articles.

1. An RL Approach for Radio Resource Management in the O-RAN Architecture

2. Playing atari with deep reinforcement learning;mnih;ArXiv Preprint,2013

3. Deep Reinforcement Learning with Double Q-Learning

4. Dueling network architectures for deep reinforcement learning;wang;Proc ICML,0

Cited by 2 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. AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business;Big Data Mining and Analytics;2024-06

2. The Evolution of Mobile Network Operations: A Comprehensive Analysis of Open RAN Adoption;Computer Networks;2024-04

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