QoE-Oriented Open Radio Access Networks for Virtual Reality Applications-Reference-Cited by-同舟云学术

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QoE-Oriented Open Radio Access Networks for Virtual Reality Applications

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

Kougioumtzidis Georgios¹^ORCID,Vlahov Atanas¹,Poulkov Vladimir¹,Zaharis Zaharias²,Lazaridis Pavlos³

Affiliation:

1. Technical University of Sofia,Faculty of Telecommunications,Sofia,Bulgaria

2. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki,Thessaloniki,Greece

3. School of Computing and Engineering, University of Huddersfield,Huddersfield,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10014682/10014702/10014946.pdf?arnumber=10014946

Reference32 articles.

1. Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

2. A Distributed Q-Learning Approach for Adaptive Sleep Modes in 5G Networks

3. An Introduction to Deep Learning for the Physical Layer

4. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

5. Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks

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. Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions;Future Internet;2023-11-27

2. Deep Learning-Aided QoE Prediction for Virtual Reality Applications Over Open Radio Access Networks;IEEE Access;2023

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