Unsupervised machine learning in 5G networks for low latency communications-Reference-Cited by-同舟云学术

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Unsupervised machine learning in 5G networks for low latency communications

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)
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Author:

Balevi Eren,Gitlin Richard D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8269763/8280427/08280492.pdf?arnumber=8280492

Cited by 9 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. DOCA: a UAV-assisted multi-hop D2D resource allocation scheme for 5G and beyond using machine learning;Telecommunication Systems;2024-07-08

2. Graphic Design and Manufacturing of Enterprise Art Products Based on Machine Learning and 5G Network;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

3. Path Loss Models for Cellular Mobile Networks Using Artificial Intelligence Technologies in Different Environments;Applied Sciences;2022-12-12

4. Modelling of the Cloud Service Quality Factors Using ISM;International Journal of Cloud Applications and Computing;2022-03-25

5. Comparative Analysis of Enhanced Mobile Broadband and Mini-Slot Contributions to High Reliability and Low Latency of 5G Network;SHS Web of Conferences;2022

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