Techniques are described for dynamically allocating different Long Term Evolution (LTE) User Equipment (UE) variants (e.g., Cat-M1 and Narrowband Internet of Things (NB-IOT) UEs) to the correct Network Slice. This may be accomplished by using a Machine Learning (ML) based software component running on 4G LTE evolved Node B (eNB) or in 5G next generation NodeB (gNB).
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Sheriff, Akram; Patil, Santosh; Hanes, M. David; and Salgueiro, Gonzalo, "MACHINE LEARNING BASED TECHNIQUE TO DYNAMICALLY ALLOCATE A NETWORK SLICE BASED ON USER EQUIPMENT TYPE AND NETWORK SLICE SELECTION FUNCTION FACTOR FOR 5G WIRELESS INTERNET OF THINGS NETWORKS", Technical Disclosure Commons, (December 12, 2018)