What is it about?
An in-depth research survey on ML based mobile data traffic (DT) prediction models for 5G. Developing a precise time series model for a 5G cellular network is crucial for improving QoS and forecasting cellular data traffic. An extensive analysis of existing ML model has been presented for the cellular DT prediction in 5G network.
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Why is it important?
The development of precise time series model in a 5G cellular network, becomes indispensable to increase the quality of services and forecast cellular DT. The cellular DT predictive models allow the operator in adapting to the traffic demand of the networks with user experience and better resource usage.
Perspectives
I believe that this survey article provides an AI-powered approach to predicting mobile data transfer. A comprehensive overview of the evolution of mobile networks is also given. In a similar vein, many facets of the existing approaches are investigated, including their fundamental techniques, advantages, principal goals, performance measures, and conclusions.
Raj Mohan R
Agurchand Manmull Jain College
Read the Original
This page is a summary of: A comprehensive survey of machine learning based mobile data traffic prediction models for 5G cellular networks, January 2024, American Institute of Physics,
DOI: 10.1063/5.0177504.
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