Content for &nbsp; TS 23.288 &nbsp; Word version:&nbsp; 19.1.0

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. 137

The procedure depicted in Figure 6.2B.5-1 is used by NWDAF containing MTLF to store or update ML Model(s) 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 or update ML Model(s) in ADRF based on MTLF policy.

NWDAF containing MTLF requests to store or update a (set of) ML Model(s) to the ADRF by invoking Nadrf_MLModelManagement_StorageRequest service, optionally including allowed NF instance list for the ML Model identifier as described in TS 33.501.

The ADRF locally maintains the association between the ML Model identifier and the NF instance ID of NWDAF containing MTLF and allowed NF instance list (if there is any in step 1).

[Optional] If instead of the ML Model(s), 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_MLModelManagement_StorageRequest Response message to the consumer including the ML Model storage or ML Model Update result indication.

6.2B.6 ML Model removal from ADRF |R18| p. 138

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. 138

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.

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.