DETERMINING AN EXPECTED QOS ADAPTATION PATTERN AT A MOBILE EDGE COMPUTING ENTITY

Apparatuses, methods, and systems are disclosed for edge enabled AI/ML-assisted QoS profile configuration. One method includes receiving at least one of actual and expected characteristics of a user equipment ("UE") that describes a context of the UE, obtaining a data analytics model describing at least one expected network condition of a radio access network ("RAN") node based on the characteristics of the UE, determining an expected QoS adaptation pattern, based on the obtained data analytics model, at a mobile edge computing entity within a service area of the UE, the QoS adaptation pattern comprising a sequence of QoS profiles to be associated with a QoS flow for the UE over a time interval, and communicating the expected QoS adaptation pattern for the QoS flow of the UE to the UE and/or at least one network node associated with the QoS flow.