US 12,114,202 B2
Method and apparatus of supervised learning approach for reducing latency during context switchover in 5G MEC
Santhosh Mohan, Bangalore (IN); and Sridharan Natarajan, Bangalore (IN)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Appl. No. 17/593,199
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
PCT Filed Aug. 27, 2021, PCT No. PCT/KR2021/011550
§ 371(c)(1), (2) Date Sep. 10, 2021,
PCT Pub. No. WO2022/045841, PCT Pub. Date Mar. 3, 2022.
Claims priority of application No. 202041036951 (IN), filed on Aug. 27, 2020; and application No. 202041036951 (IN), filed on Aug. 19, 2021.
Prior Publication US 2022/0312256 A1, Sep. 29, 2022
Int. Cl. H04W 28/02 (2009.01); H04L 41/16 (2022.01); H04W 28/24 (2009.01); H04W 36/00 (2009.01); H04W 88/18 (2009.01)
CPC H04W 28/0268 (2013.01) [H04L 41/16 (2013.01); H04W 28/24 (2013.01); H04W 36/0022 (2013.01); H04W 88/18 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for performing a context switchover in a wireless network, the method comprising:
identifying, by an edge network entity, a plurality of first parameters associated with a user equipment (UE) and a plurality of second parameters associated with the edge network entity;
receiving, by the edge network entity, a data path change notification of the UE from a session management entity;
determining, by the edge network entity, 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, by the edge network entity, at least one target EAS of the plurality of EASs based on the ranking for each of the plurality of EASs; and
performing, by the edge network entity, the context switchover to the at least one target EAS,
wherein the ranking for each of the plurality of EASs is determined based on a machine learning for obtaining a correlation of the plurality of first parameters and the plurality of second parameters.