Research on throughput prediction of 5G network based on LSTM

Research on throughput prediction of 5G network based on LSTM

This paper proposes a wireless network traffic prediction model based on long-term and short-term memory cyclic neural networks. Through simulation experiments, the throughput prediction of 5G wireless networks using different scheduling algorithms for many different types of services is studied. Th...

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Bibliographic Details
Main Authors: Lanlan Li, Tao Ye
Format: Article
Language:English
Published: Tsinghua University Press 2022-06-01
Series:Intelligent and Converged Networks
Subjects:
wireless network
flow forecast
long short-term memory (lstm)
schedule
throughput
Online Access:https://www.sciopen.com/article/10.23919/ICN.2022.0006

Internet

https://www.sciopen.com/article/10.23919/ICN.2022.0006

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