Content for &nbsp; TS 23.288 &nbsp; Word version:&nbsp; 18.2.0

A consumer requests that specified data be deleted from the ADRF using Nadrf_DataManagement_Delete request service operations. The request may include the DataSetTag attribute which the stored data records are associated to.

The ADRF deletes all copies of the stored data.

Figure 6.2B.5-1: ML Model Storage in ADRF

The ADRF indicates the result (i.e. data deleted, data not found, data found but not deleted) using Nadrf_DataManagement_Delete response service operations.

6.2B.5 ML Model Storage in ADRF |R18| p. 130

The procedure depicted in Figure 6.2B.5-1 is used by NWDAF containing MTLF to store ML model in an ADRF.

Reproduction of 3GPP TS 23.288, Fig. 6.2B.5-1: ML Model Storage in ADRF

Step 0.

NWDAF containing MTLF determines to store ML model in ADRF based on MTLF policy.

NWDAF containing MTLF requests to store a (set of) ML model(s) to the ADRF by invoking Nadrf_MLModelManagement_StorageRequest service.

[Optional] If the ML model address(es) is/are included in request, ADRF downloads the ML model(s) based on the ML model address(es) and locally stores the ML model(s).

Figure 6.2B.6-1: ML Model removal from ADRF

The ADRF sends Nadrf_DataManagement_StorageRequest Response message to the consumer indicating that the ML model(s) has/have been stored.

6.2B.6 ML Model removal from ADRF |R18| p. 131

The procedure depicted in Figure 6.2B.6-1 is used by NWDAF containing MTLF to delete ML model from an ADRF.

Reproduction of 3GPP TS 23.288, Fig. 6.2B.6-1: ML Model removal from ADRF

NWDAF containing MTLF requests to delete the ML model(s) previously stored in the ADRF using Nadrf_MLModelManagement_Delete request service operation.

The ADRF deletes both the stored ML model(s) and related ML model information.

Figure 6.2B.7-1: Procedure for ML model(s) retrieval from ADRF

The ADRF indicates the result (i.e. ML model deleted, ML model not found, ML model found but not deleted) using Nadrf_MLModelManagement_Delete response service operation.

6.2B.7 ML model retrieval from ADRF |R18| p. 131

The procedure depicted in Figure 6.2B.7-1 is used by consumers (NWDAF containing MTLF and NWDAF containing AnLF) to retrieve ML models from an ADRF.

Reproduction of 3GPP TS 23.288, Fig. 6.2B.7-1: Procedure for ML model(s) retrieval from ADRF

The NWDAF service consumer (NWDAF containing AnLF or NWDAF containing MTLF) subscribes/requests for a (set of) trained ML Model(s) associated with a/an (set of) Analytics ID(s) by invoking the Nnwdaf_MLModelProvision_Subscribe / Nnwdaf_MLModelInfo_Request service (if consumer is NWDAF containing AnLF) or by invoking the Nnwdaf_MLModelTraining_Subscribe service / Nnwdaf_MLModelTrainingInfo_Request (if consumer is NWDAF containing MTLF) operation.

The NWDAF containing MTLF determines whether the set of ML Model(s) associated with a/an (set of) Analytics ID(s) should be retrieved from the ADRF.

When NWDAF containing MTLF authorizes the NF consumer to retrieve the ML model(s) stored in the ADRF directly, steps 3 and 4 is skipped.

If NWDAF containing MTLF determines that the set of ML Model(s) corresponding Analytics ID(s) requested in step 1 needs to be retrieved from ADRF and the NF consumer is agnostic to where the ML model(s) is stored, then Steps 3 and 4 is performed.