Systems and methods for beamforming and network optimization based on user equipment usage data derived from battery dissipation signatures

摘要

A system described herein may provide a technique for the use of artificial intelligence/machine learning (“AI/ML”) techniques to model User Equipment (“UE”) usage information based on battery dissipation and/or other battery performance or characteristic information. A given model (or set of models) may be used to determine UE usage information, such as types of applications or services (e.g., voice calls, content streaming, web browsing, etc.) being used by UEs, amount of traffic sent and/or received by UEs, radio access network (“RAN”) connection or disconnection activity, and/or other types of UE usage information. Network parameters, such as beam configuration parameters, may be modified based on UE usage information determined based on such models.