US 12,689,433 B2 · Quasi co-location relation indication for artificial intelligence or machine learning models

Abstract

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate, with a network entity, an indication of operation of an artificial intelligence (AI) or (ML) model at the UE and/or the network entity. Based on the indication of the operation of the AI or ML model, the UE may communicate, with the network entity, an indication of the QCL relation between the AI or ML model and reference signal communicated by the UE, a physical channel communicated by the UE, an antenna port of the network entity, or an antenna port of the UE. The QCL relation may indicate the radio characteristics applicable to the AI or ML model. The QCL relation may indicate the radio characteristics applicable to the AI or ML model.

Claims30

Dependent claims

A user equipment (UE), comprising:

one or more memories storing processor-executable code;
and
one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the UE to:
communicate, with a network entity, a first message including an indication of operation of an artificial intelligence or machine learning model at the UE or the network entity;
and
communicate, with the network entity and based on the indication of the operation of the operation of the artificial intelligence or machine learning model at the UE or the network entity, a second message including an indication of a quasi co-location relation between the artificial intelligence or machine learning model and at least one of a reference signal communicated by the UE, a physical channel communicated by the UE, an antenna port of the network entity, or an antenna port of the UE.

3 more elements

A network entity, comprising:

one or more memories storing processor-executable code;
and
one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the network entity to:
communicate, with a user equipment (UE), a first message including an indication of operation of an artificial intelligence or machine learning model at the UE or the network entity;
and
communicate, with the UE and based on the indication of the operation of the operation of the artificial intelligence or machine learning model at the UE or the network entity, a second message including an indication of a quasi co-location relation between the artificial intelligence or machine learning model and at least one of a reference signal communicated by the UE, a physical channel communicated by the UE, an antenna port of the network entity, or an antenna port of the UE.

3 more elements

A method for wireless communications at a user equipment (UE), comprising:

communicating, with a network entity, a first message including an indication of operation of an artificial intelligence or machine learning model at the UE or the network entity;
and
communicating, with the network entity and based on the indication of the operation of the operation of the artificial intelligence or machine learning model at the UE or the network entity, a second message including an indication of a quasi co-location relation between the artificial intelligence or machine learning model and at least one of a reference signal communicated by the UE, a physical channel communicated by the UE, an antenna port of the network entity, or an antenna port of the UE.

Dependencies are inferred from the claim text.

Quasi co-location relation indication for artificial intelligence or machine learning models

Life of this patent

Quasi co-location relation indication for artificial intelligence or machine learning models

Life of this patent

Abstract

Claims30