公开(公告)号：US20230156520A1

公开(公告)日：2023-05-18

申请号：US17965294

申请日：2022-10-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di WU ,  Manyou Ma ,  Yi Tian Xu ,  Jimmy Li ,  Seowoo Jang ,  Xue Liu ,  Gregory Lewis Dudek

IPC: H04W28/08 ,  H04W28/02

CPC classification number: H04W28/0925 ,  H04W28/0226

Abstract: A method includes obtaining at least one policy parameter of a neural network corresponding to a load balancing policy, receiving trajectories for each mobile device in a plurality of mobile devices of the wireless network, each trajectory corresponding to a sequence of states of a respective mobile device, wherein the sequence of states is generated based on a continuous interaction of an existing policy of the respective mobile device with the wireless network, estimating advantage functions for each mobile device in the plurality of mobile devices based on the trajectories for each respective mobile device, and updating the at least one policy parameter based on the estimated advantage functions such that the load balancing policy is determined based on states of each mobile device in the plurality of mobile devices.

公开(公告)号：US11825371B2

公开(公告)日：2023-11-21

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 ,  G06N3/08 ,  G06N20/00 ,  H04W48/06 ,  G06N3/045

CPC classification number: H04W36/22 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  H04W36/08 ,  H04W48/06

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：US20230084465A1

公开(公告)日：2023-03-16

申请号：US17903646

申请日：2022-09-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Amal Feriani ,  Yi Tian Xu ,  Seowoo Jang ,  Michael Jenkin ,  Xue Liu ,  Gregory Lewis Dudek ,  Jimmy Li

IPC: H04L41/16 ,  H04W24/10 ,  G06N5/02 ,  G06K9/62

Abstract: Parameters for load balancing in a cellular communication system are determined. The cellular communication system performance is measured by key performance indicators (KPIs). A policy (artificial intelligence model) is obtained to optimize the cellular communication system performance with respect to the KPIs. The policy for determining parameters used for load balancing the cellular communication system is obtained using meta multi-objective reinforcement learning (meta MORL). A distilled policy may be obtained to initialize the meta MORL determination. Various loss functions may be used to obtain the distilled policy.

公开(公告)号：US20230047986A1

公开(公告)日：2023-02-16

申请号：US17872667

申请日：2022-07-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Yi Tian Xu ,  Jimmy Li ,  Tianyu Li ,  Jikun Kang ,  Xue Liu ,  Xi Chen ,  Gregory Lewis Dudek ,  Seowoo Jang

IPC: H04W28/08

Abstract: Several policies are trained for determining communication parameters used by mobile devices in selecting a cell of a first communication network to operate on. The several policies form a policy bank. By adjusting the communication parameters, load balancing among cells of the first communication network is achieved. A policy selector is trained so that a target communication network, different than the first communication network, can be load balanced. The policy selector selects a policy from the policy bank for the target communication network. The target communication network applies the policy and the load is balanced on the target communication network. Improved load balancing leads to a reduction of the number of base stations needed in the target communication network.