Metadata generation for artificial intelligence (ai) / machine learning (ml) models
AssigneeMedia Tek Inc.
InventorsPedram KHEIRKHAH SANGDEH, Gyu Bum KYUNG
Life of this patent
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Abstract
In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE). The UE generates metadata for channel state information (CSI) samples. The UE uses the generated metadata to categorize the CSI samples into one or more subsets. The UE uses each subset of the one or more subsets to train a machine learning model or a part of a machine learning model.
Claims20
A method of wireless communication of a user equipment (UE), comprising:
- generating metadata for channel state information (CSI) samples;
- using the generated metadata to categorize the CSI samples into one or more subsets;
- and
- using each subset of the one or more subsets to train a machine learning model or a part of a machine learning model.
An apparatus for wireless communication, the apparatus being a user equipment (UE), comprising:
- a memory;
- and
- at least one processor coupled to the memory and configured to:
- generate metadata for channel state information (CSI) samples;
- use the generated metadata to categorize the CSI samples into one or more subsets;
- and
- use each subset of the one or more subsets to train a machine learning model or a part of a machine learning model.
A computer-readable medium storing computer executable code for wireless communication of a receiver, comprising code to:
- generate metadata for channel state information (CSI) samples;
- use the generated metadata to categorize the CSI samples into one or more subsets;
- and
- use each subset of the one or more subsets to train a machine learning model or a part of a machine learning model.
Dependencies are inferred from the claim text.