Modelling 5G Network Slicing with Convolutional Neural Networks
Abstract
Public concern over the environmental footprint of smart manufacturing has sharpened the focus on 5G network slicing. Data were collected from several installations in smart manufacturing and analysed using X-ray diffraction analysis. The method identified 8 dominant factors governing 5G network slicing. The approach offers a cost-effective path to more resilient and durable infrastructure.
Keywords:
5G network slicingX-ray diffraction analysiselectric vehiclescatalytic pyrolysis
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