Deep Learning Based Fusion Model for Multivariate LTE Traffic Forecasting and Optimized Radio Parameter Estimation

Deep Learning Based Fusion Model for Multivariate LTE Traffic Forecasting and Optimized Radio Parameter Estimation

With the evaluation of cellular network internet data traffic, forecasting and understanding traffic patterns become the critical objectives for managing the network-designed Quality of Service (QoS) benchmark. For this purpose, cellular network planners often use different methodologies for predict...

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Bibliographic Details
Main Authors: Syed Tauhidun Nabi, Md. Rashidul Islam, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Salman A. AlQahtani, Gianluca Aloi, Giancarlo Fortino
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
LTE networks
machine learning in networking
traffic prediction
deep learning
mobile network capacity
physical resource block
Online Access:https://ieeexplore.ieee.org/document/10042176/

Internet

https://ieeexplore.ieee.org/document/10042176/

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