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A Machine Learning Approach in 5G User Prediction

ICT with Intelligent Applications(2022)

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Abstract
Automated 5G is the latest generation in mobile networks and it is a huge step-up from what we have available to us today. In today’s era of communication, there is a huge spike up in terms of data rate and capacity. The current 4G-LTE network is almost at it last stage and soon going to be replaced by the next generation technology which is 5G. The 5G, however, will take time to roll out completely in a particular country, current expectations are 2025–2026. Using machine learning algorithms in the field of communication technology, particularly 5G, is a difficult proposition. We really have to develop a model that runs quickly and functions well, as measured by its key metrics, because we want minimal latency and rapid calculations. Our goal in this paper is to determine whether or not the user is connected to a 5G network. This data, 1,000,000 × 60, has been posted to Kaggle.
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Key words
5G, User prediction, Logistic regression, Random forest, XGB, Decision tree
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