Method and apparatus of supervised learning approach for reducing latency during context switchover in 5g mec

Abstract

The disclosure provides to a method and an apparatus for supervised learning approach for reducing latency during a context switchover in a 5G Multi-access Edge Computing (MEC). An example method for performing a context switchover in a wireless network includes identifying a plurality of first parameters associated with a user equipment (UE) and a plurality of second parameters associated with an edge network entity; receiving a data path change notification from a session management entity; determining a ranking for each of a plurality of edge application servers (EASs) based on the plurality of first parameters and the plurality of second parameters, in response to reception of the data path change notification; selecting at least one target EAS of the plurality of EASs based on the ranking for each of the plurality of EASs; and performing the context switchover to the at least one target EAS.