公开(公告)号：US20220150785A1

公开(公告)日：2022-05-12

申请号：US17334018

申请日：2021-05-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di WU ,  Jikun KANG ,  Yi Tian XU ,  Jimmy LI ,  Michael JENKIN ,  Xue LIU ,  Xi CHEN ,  Gregory Lewis DUDEK ,  Intaik PARK ,  Taeseop LEE

IPC: H04W36/22 ,  H04W36/08 ,  H04W48/06 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08

Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

公开(公告)号：US20230117162A1

公开(公告)日：2023-04-20

申请号：US17870212

申请日：2022-07-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jimmy LI ,  Di WU ,  Yi Tian XU ,  Tianyu LI ,  Seowoo JANG ,  Xue LIU ,  Gregory Lewis DUDEK

IPC: H04W28/08 ,  G06N20/00

Abstract: The present disclosure provides for methods, apparatuses, and non-transitory computer-readable storage media for load balancing traffic scenarios by a network device. In an embodiment, a method includes training a plurality of learning agents to load balance a respective plurality of traffic scenarios to obtain a plurality of control policies. The method further includes performing at least one clustering iteration. Each clustering iteration includes selecting a pair of control policies and merging the pair of control policies into a clustered control policy that replaces the pair of control policies. The method further includes determining to stop the performing of the at least one clustering iteration when a quantity of control policies remaining in the plurality of control policies meets a predetermined value. The method further includes deploying to each base station of a plurality of base stations a corresponding control policy from the plurality of control policies.