AI driven 5G network and service management solution
US-12177092-B2 · Dec 24, 2024 · US
US2024179073A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024179073-A1 |
| Application number | US-202418432552-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 5, 2024 |
| Priority date | Sep 24, 2020 |
| Publication date | May 30, 2024 |
| Grant date | — |
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Official abstract text for this publication.
A network device divided into a training plane and a control plane, model management server that controls a network device, and processing methods of a network device and model management server are disclosed. A processing method may include receiving a machine learning model from a model management server, obtaining network data to generate analytics information, generating analytics information by inputting the network data to a machine learning model, feeding back the analytics information to the model management server, and generating a control command of the network device using the analytics information, wherein the analytics information is generated by a training plane function and the control command is generated by a control plane function.
Opening claim text (preview).
What is claimed is: 1 . A processing method performed by a network device, the processing method comprising: obtaining network data to generate analytics information; generating analytics information by inputting the network data to a machine learning model; training the machine learning model using the analytics information; and feeding back feedback information based on at least one of the training result and the analytics information to a model server. 2 . The processing method of claim 1 , the processing method further comprising: generating a control command of the network device using the analytics information. 3 . The processing method of claim 1 , wherein the analytics information is generated by a training plane function of the network device and the control command is generated using the analytics information by a control plane function of the network device. 4 . The processing method of claim 1 , wherein the model server charges for providing the machine learning model to the network device. 5 . The processing method of claim 4 , wherein the model server sets a charge for the machine learning model based on at least one of a property of the network device, a parameter of the machine learning model, a quality of the machine learning model, or a point in time at which the machine learning model is to be provided. 6 . The processing method of claim 1 , wherein the model server updates the machine learning model based on the feedback information.
using machine learning or artificial intelligence · CPC title
involving simulating, designing, planning or modelling of a network · CPC title
Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title
Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title
Classification techniques · CPC title
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