Can We Exploit Machine Learning to Predict Congestion over mmWave 5G Channels?

Can We Exploit Machine Learning to Predict Congestion over mmWave 5G Channels?

It is well known that transport protocol performance is severely hindered by wireless channel impairments. We study the applicability of Machine Learning (ML) techniques to predict congestion status of 5G access networks, in particular mmWave links. We use realistic traces, using the 3GPP channel mo...

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Bibliographic Details
Main Authors: Luis Diez, Alfonso Fernández, Muhammad Khan, Yasir Zaki, Ramón Agüero
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
machine learning
mmWave
5G
congestion control
ns-3
network simulation
Online Access:https://www.mdpi.com/2076-3417/10/18/6164

Internet

https://www.mdpi.com/2076-3417/10/18/6164

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