Reduced Capacity Application Service-Based Intelligent Power Saving with Machine Learning

Abstract

An apparatus of a reduced capability (RedCap) user equipment (UE) comprises one or more processors coupled to a memory. The processors are configured to detect, at the UE, a service-based scenario of the UE. The service-based scenario includes at least one of a stationary scenario, a fixed route or a normal route. The processors apply, at the UE, a service-based radio frequency (RF) evaluation based on the service-based scenario using a machine learning (ML) model. The processors perform, at the UE, a relaxed radio resource management (RRM) measurement of one or more measurement objects (MOs) based on the service-based RF evaluation determined by the ML model and the service-based scenario.

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