5G and 6G networks must take into account the load and adapt resource consumption at every moment. To do this, they need to track current indicators and be able to predict them. This is how services will make decisions about dividing the network into slices and balancing the load. Typically, machine learning models are used for prediction.
Mathematicians compare machine learning models for forecasting 5G and 6G traffic
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