US 2022/0287104 A1 · METHOD AND APPARATUS FOR SUPPORT OF MACHINE LEARNING OR ARTIFICIAL INTELLIGENCE TECHNIQUES IN COMMUNICATION SYSTEMS

Abstract

ML/AI configuration information transmitted from a base station to a UE includes one or more of enabling/disabling an ML approach for one or more operations, one or more ML models to be used for the one or more operations, trained model parameters for the one or more ML models, and whether ML model parameters received from the UE at the base station will be used. Assistance information generated based on the configuration information is transmitted from the UE to the base station. The UE may perform an inference regarding operations based on the configuration information and local data, or the inference may be performed at one of the base station or another network entity based on assistance information received from UEs including the UE. The assistance information may be local data such as UE location, UE trajectory, or estimated DL channel status, inference results, or updated model parameters.

Claims20

Dependent claims

A user equipment (UE), comprising:

a transceiver configured to receive, from a base station, machine learning/artificial intelligence (ML/AI) configuration information including one or more of enabling/disabling an ML approach for one or more operations, one or more ML models to be used for the one or more operations, trained model parameters for the one or more ML models, or whether ML model parameters received from the UE at the base station will be used;
and
a processor operatively coupled to the transceiver, the processor configured to generate assistance information for updating the one or more ML models based on at least a portion of the configuration information,
wherein the transceiver is further configured to transmit the assistance information to the base station.

1 more element

A method, comprising:

receiving, at a user equipment (UE) from a base station, machine learning/artificial intelligence (ML/AI) configuration information including one or more of enabling/disabling an ML approach for one or more operations, one or more ML models to be used for the one or more operations, trained model parameters for the one or more ML models, or whether ML model parameters received from the UE at the base station will be used;
generating assistance information for updating the one or more ML models based on the configuration information;
and
transmitting, from the UE to the base station, the assistance information.

1 more element

A base station (BS), comprising:

a processor configured to generate machine learning/artificial intelligence (ML/AI) configuration information including one or more of enabling/disabling an ML approach for one or more operations, one or more ML models to be used for the one or more operations, trained model parameters for the one or more ML models, or whether ML model parameters received from a user equipment (UE) at the base station will be used;
and
a transceiver operatively coupled to the processor and configured to
transmit, to one or more UEs including the UE, the configuration information, and
receive, from the UE, assistance information for updating the one or more ML models.

2 more elements

Dependencies are inferred from the claim text.

Method and apparatus for support of machine learning or artificial intelligence techniques in communication systems

Life of this patent

Method and apparatus for support of machine learning or artificial intelligence techniques in communication systems

Life of this patent

Abstract

Claims20