# US 12,764,016 B2 · ML model support and model ID handling by UE and network

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- Number: US 12,764,016 B2
- Document ID: US12764016B2
- Status: Granted
- Kind: B2
- Application number: 18/860,601
- Filed: 2023-04-25
- Published: 2025-10-23
- Granted: 2026-10-13
- Earliest claimed: 2022-04-25
- Assignees: Telefonaktiebolaget LM Ericsson (publ)
- Applicants: Telefonaktiebolaget Lm Ericsson (Publ)
- Inventors: Daniel Chen Larsson; Lars Lindbom; Andres Reial; Icaro Leonardo Da Silva; Yufei Blankenship; Henrik Rydén
- Web page: https://patentgrep.com/patent/US12764016B2

## CPC

- H04L 41/0803: Configuration setting
- H04W 76/27: Transitions between radio resource control [RRC] states
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

Methods and systems are described for indicating and configuring machine learning (ML) model support in a user equipment (UE) in a network. A UE can provide model support information to a node, including a ML type and/or version information of at least one model associated with a certain functionality. A network node uses the support information, and optionally previous model ID allocation information in current or other nodes, to determine at least one model ID, and signals it to the UE. The model ID refers to the model in subsequent model handling-related signaling between the UE and the node. The node assigns the model ID such that the UE and the node are aware that a given model ID refers to a given model or model version (e.g., the mapping is unique for the UE). The model ID can also be unique within a functional area, for example CSI reporting.

## Claims

### Claim 1

A method performed by a user equipment (UE) for obtaining a configuration for a machine learning (ML) model, the method comprising:
providing one or more indications of ML model support information to a network node that describes one or more ML models available at the UE, the one or more indications of ML model support information indicating at least one of: one or more model indicators; and one or more model version indicators; and
obtaining a ML model identifier from the network node that identifies one of the one or more ML models available at the UE, wherein the ML model identifier comprises a long model identifier, the long model identifier configured to be unique for a same model type or model version over multiple sessions and for multiple UEs to allow consistent model identifier allocation over time and across the network.

### Claim 2 (depends on 1)

The method of claim 1, further comprising performing the identified ML model.

### Claim 3 (depends on 1)

The method of claim 1, wherein the ML model identifier further comprises a short model identifier, the short model identifier configured to be at least one of: unique for the UE for an identified ML model for at least a current session; a number of bits determined by the maximum number of concurrent configured models for the UE; or comprised of additional fields including at least one of a model type code and a version number.

### Claim 4 (depends on 1)

The method of claim 1, wherein the long model identifier corresponds to a bit string of K bits, and the i-th part comprises K(i) bits so that K(1)+ . . . +K(N)=K, for N parts, and the K(i) number of bits may be the same or different for the different parts.

### Claim 5 (depends on 1)

The method of claim 1, wherein the long model identifier contains at least one of: at least a portion of the one or more indications of ML model support information reported by the UE; network specific identification elements; or cell specific identification elements.

### Claim 6 (depends on 1)

The method of claim 1, wherein obtaining the ML model identifier comprises receiving a version configuration based on the one or more model version indicators.

### Claim 7 (depends on 1)

The method of claim 1, further comprising performing ML model handling-related signaling to and from the network using the ML model identifier to refer to the ML model available in the UE.

### Claim 8 (depends on 1)

The method of claim 1, wherein the ML model identifier is shorter than at least one of: the one or more model indicators; and the one or more model version indicators.

### Claim 9 (depends on 1)

The method of claim 1, wherein the ML model identifier comprises a numerical value or a character string.

### Claim 10 (depends on 1)

The method of claim 1, wherein obtaining the ML model identifier from the network comprises receiving a version configuration based on the one or more version indicators.

### Claim 11 (depends on 1)

The method of claim 1, wherein obtaining the ML model identifier from the network comprises at least one of: obtaining while the UE is in Radio Resource Control Connected state, RRC_CONNNECTED; obtaining when the UE enters RRC Idle state, RRC_IDLE; storing a short ML model identifier and its associated mapping when the UE enters RRC Inactive state, RRC_INACTIVE; restoring a short ML model identifier and its associated mapping when the UE initiates a RRC Resume procedure; or receiving a mapping in an RRC message.

### Claim 12 (depends on 11)

The method of claim 11, wherein the RRC message comprises one of: RRC Reconfiguration; RRC Resume; or RRC Release.

### Claim 13 (depends on 1)

The method of claim 1, wherein obtaining the ML model identifier from the network comprises;
receiving a first Radio Resource Control (RRC) message indicating addition of an ML model which has a first model identifier, wherein the message also indicates assignment of a second model identifier comprising a mapping of the first model identifier; and
receiving a second RRC message indicating modification of the mapping or re-configuration of the ML model of the first model identifier, upon which the UE identifies the model of the first model identifier, by reception of the second model identifier.

### Claim 14 (depends on 1)

The method of claim 1, wherein obtaining the ML model identifier from the network comprises;
receiving a first Radio Resource Control (RRC) message indicating addition of an ML model which has a first model identifier, wherein the message also indicates assignment of a second model identifier comprising a mapping of the first model identifier; and
receiving a second RRC message indicating release of the mapping, upon which the UE releases an association between the first model identifier and the second model identifier.

### Claim 15

A method performed by a network node for configuring a machine learning (ML) model in a user equipment (UE), the method comprising:
obtaining one or more indications of ML model support information from a UE that describe one or more ML models available at the UE, the one or more indications of ML model support information indicating at least one of: one or more model indicators; and one or more model version indicators;
determining a ML model identifier based at least in part on the one or more indications of ML model support information, the ML model identifier identifying one of the one or more ML models available at the UE, wherein the ML model identifier comprises a long model identifier, the long model identifier configured to be unique for a same model type or model version over multiple sessions and for multiple UEs to allow consistent model identifier allocation over time and across the network; and
signaling the ML model identifier to the UE.

### Claim 16 (depends on 15)

The method of claim 15, wherein signaling the ML model identifier comprises selecting a preferred ML model version based on the one or more version indicators and configuring the UE to use the preferred version.

### Claim 17 (depends on 15)

The method of claim 15, further comprising performing ML model handling-related signaling to and from the UE using the ML model identifier to refer to the identified ML model.

### Claim 18 (depends on 15)

The method of claim 15, wherein the ML model identifier is unique among a first set of ML model identifiers signaled to the UE at least for a current connection to the UE.

### Claim 19 (depends on 15)

The method of claim 15, wherein the ML model identifier is shorter than the one or more model indicators and one or more model version indicators.