公开(公告)号：US20230359500A1

公开(公告)日：2023-11-09

申请号：US18026241

申请日：2020-10-21

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Xinmiao LI ,  Wei CHEN ,  Huanqiu YE ,  Xianhua HE ,  Jun HE ,  Kefeng LIU

IPC: G06F9/50 ,  G06F11/34 ,  G06F11/30

CPC classification number: G06F9/505 ,  G06F11/3414 ,  G06F11/3024

Abstract: Example embodiments of the present disclosure relate to computing system management. A plurality of previous workloads of a computing system for a previous time duration are obtained. Workload estimation is determined for a future time duration based on the plurality of previous workloads. Based on the workload estimation, management profile is selected from a group of management profiles for managing the computing system for the future time duration. With the example embodiments, the computing system is managed in a flexible and effective way.

公开(公告)号：US20250081010A1

公开(公告)日：2025-03-06

申请号：US18728194

申请日：2022-01-14

Applicant: Nokia Solutions and Networks Oy

Inventor： Anand BEDEKAR ,  Vaibhav SINGH ,  Shivanand KADADI ,  Claudiu MIHAILESCU ,  Dora BOVIZ ,  Jun HE

IPC: H04W24/08 ,  H04W24/02

Abstract: Systems, methods, and software for a Radio Access Network (RAN). In one embodiment, a system identifies a plurality of cells within the RAN, and groups the cells into cell groups. The system performs a training process to train group Machine-Learning (ML) models for the cell groups based on training data for the cell groups, and evaluates a performance of the group ML models for the cell groups based on evaluation data for the cell groups. The system provides the group ML models for the cell groups to a RAN management system or the like when the performance of the group ML models satisfies a performance threshold.

公开(公告)号：US20230319707A1

公开(公告)日：2023-10-05

申请号：US18205053

申请日：2023-06-02

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Vaibhav SINGH ,  Anand BEDEKAR ,  Jun HE

IPC: H04W52/02 ,  H04W24/10

CPC classification number: H04W52/0206 ,  H04W24/10

Abstract: To maximize power saving in a radio access network comprising cells, an optimal action amongst actions comprising switching on one or more cells, switching off one or more cells, and doing nothing is determined using a trained model, which maximizes a long term reward on tradeoff between throughput and power, the trained model taking as input a load estimate. The trained model may be updated online using measurement results on load, throughput and power consumption.

公开(公告)号：US20230135872A1

公开(公告)日：2023-05-04

申请号：US17976376

申请日：2022-10-28

Applicant: NOKIA SOLUTIONS AND NETWORKS OY

Inventor： Vaibhav SINGH ,  Anand BEDEKAR ,  Jun HE

IPC: H04W52/02 ,  H04W24/10

Abstract: To maximize power saving in a radio access network comprising cells, an optimal action amongst actions comprising switching on one or more cells, switching off one or more cells, and doing nothing is determined using a trained model, which maximizes a long term reward on tradeoff between throughput and power, the trained model taking as input a load estimate. The trained model may be updated online using measurement results on load, throughput and power consumption.