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7.4.3 Nnwdaf_DataManagement_Unsubscribe service operation
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Service operation name: Nnwdaf_DataManagement_Unsubscribe
Description: The NF consumer unsubscribes to the NWDAF for data.
Inputs, Required: Subscription Correlation ID.
Outputs, Required: Operation execution result indication.
Outputs, Optional: The pending data that have not been sent to the consumer yet.
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7.4.4 Nnwdaf_DataManagement_Notify service operation
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Service operation name: Nnwdaf_DataManagement_Notify
Description: NWDAF notifies the consumer instance of the requested data, or notifies of the availability of previously subscribed Data when delivery is via an NWDAF. The NWDAF may also notify the consumer instance when Data or Analytics is to be deleted.
Inputs, Required: Notification Correlation ID, time stamp representing time when NWDAF completed preparation of the requested data.
Inputs, Optional:
- Requested Data with timestamp;
- Fetch Instructions;
- Termination Request;
- Data or Analytics Deletion Alert.
NOTE 1: If the NWDAF has received the notifications from another source without a timestamp, then the NWDAF adds itself a timestamp based on the time it received the notification.
Fetch Instructions indicate whether the data are to be fetched by the Consumer. If the data are to be fetched, the fetch instructions include an address from which the data may be fetched, one or more Fetch Correlation IDs and a deadline to fetch the data (Fetch Deadline).
Termination Request indicates that NWDAF requests to terminate the data management subscription, i.e. NWDAF will not provide further notifications related to this subscription.
Pending Notification Cause indicates the cause of the pending notification of the stored unsent data, e.g., the data cannot be collected any more due to UE moved out of NWDAF serving area.
Data or Analytics Deletion Alert is described in clause 5B.1.
NOTE 2: Data provided in notifications are processed and formatted according to the Processing and Formatting Instructions provided by the Consumer in Nnwdaf_DataManagement_Subscribe.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Data or Analytics Retrieval Indication.
The Data or Analytics Retrieval Indication may be sent if the notification contains a Data or Analytics Deletion Alert. The Data or Analytics Retrieval Indication indicates if the consumer will retrieve stored data or analytics prior to deletion (see clause 6.2B.3)
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7.4.5 Nnwdaf_DataManagement_Fetch service operation
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Service operation name: Nnwdaf_DataManagement_Fetch
Description: Consumer retrieves from the NWDAF subscribed data (which is regarded as a kind of data), as indicated by Fetch Instructions from Nnwdaf_DataManagement_Notify.
Inputs, Required: Set of Fetch Correlation ID(s).
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Requested data.
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7.5 Nnwdaf_MLModelProvision services
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7.5.1 General
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Service Description: This service enables the consumer to receive a notification when an ML Model matching the subscription parameters becomes available.
When the subscription is accepted by the NWDAF containing MTLF, the consumer NF, receives from the NWDAF an identifier (Subscription Correlation ID) allowing to further manage (modify, delete) this subscription. The modification of ML Model subscription can be enforced by NWDAF based on operator policy and configuration.
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7.5.2 Nnwdaf_MLModelProvision_Subscribe service operation
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Service operation name: Nnwdaf_MLModelProvision_Subscribe
Description: Subscribes to NWDAF ML Model provision with specific parameters.
Inputs, Required: (set of) Analytics ID(s) defined in Table 7.1-2 (conditional, required if the ML model is requested for analytics generation), or an indication that a model for LMF-based AI/ML Positioning is requested (conditional, required if the ML model is requested for UE location caculation), Notification Target Address (+ Notification Correlation ID).
NOTE: Whether the indication of requesting a model for LMF-based AI/ML Positioning is implemented in a new information element is up to stage 3.
Inputs, Optional:
- Subscription Correlation ID (in the case of modification of the ML Model subscription).
- For each Analytics ID or an indication that a model for LMF-based AI/ML Positioning is requested, the following parameters may be provided: ML Model Filter Information to indicate the conditions for which ML Model for the analytics is requested and Target of ML Model Reporting as defined in clause 6.2A.2, Requested representative ratio, ML Model Target Period, Use case context, Inference Input Data information, indication of support for multiple ML Models, multiple ML Models Filter Information to indicate the conditions for which multiple ML Models are requested, ML Model Interoperability Information.
- NF consumer information, ML Model Reporting Information, Time when model is needed, ML Model Monitoring Information (including e.g. desired ML Model metric, ML Model monitoring reporting mode, ML Model Accuracy Threshold, DataSetTag and ADRF ID, ML Model identifier), Expiry time.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription), Expiry time (required if the subscription can be expired based on the operator's policy).
Outputs, Optional: None.
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7.5.3 Nnwdaf_MLModelProvision_Unsubscribe service operation
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Service operation name: Nnwdaf_MLModelProvision_Unsubscribe
Description: unsubscribe to NWDAF ML Model provision.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.5.4 Nnwdaf_MLModelProvision_Notify service operation
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Service operation name: Nnwdaf_MLModelProvision_Notify
Description: NWDAF notifies the ML Model information to the consumer instance which has subscribed to the specific NWDAF service.
Inputs, Required: Notification Correlation Information, Set of:
- the tuple (Analytics ID (conditional, required if the ML model is provided for analytics generation), or an indication (i.e. LMF-based AI/ML Positioning) (conditional, required if the ML model is provided for UE location caculation), one or more tuples of unique ML Model identifier and the information as defined in clause 6.2A.2).
Inputs, Optional: ML Model Accuracy Information.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.6 Nnwdaf_MLModelInfo service
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7.6.1 General
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Service description: this service enables the consumer to request and get from NWDAF containing MTLF ML Model Information.
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7.6.2 Nnwdaf_MLModelInfo_Request service operation
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Service operation name: Nnwdaf_MLModelInfo_Request
Description: The consumer requests NWDAF ML Model Information.
Inputs, Required: (Set of) Analytics ID(s) defined in Table 7.1-2 (conditional, required if the ML model is requested for analytics generation), or an indication that a model for LMF-based AI/ML Positioning is requested (conditional, required if the ML model is requested for UE location caculation).
NOTE: Whether the indication of requesting a model for LMF-based AI/ML Positioning is implemented in a new information element is up to stage 3.
Inputs, Optional:
- For each Analytics ID or an indication that a model for LMF-based AI/ML Positioning is requested, the following parameters may be provided: ML Model Filter Information to indicate the conditions for which ML Model for the analytics is requested and Target of ML Model Reporting as defined in clause 6.2A.2, Requested representative ratio, ML Model Target Period, Use case context, Inference Input Data Information, indication of support for multiple ML Models, multiple ML Models Filter Information to indicate the conditions for which multiple ML Models are requested, ML Model Interoperability Information.
- Vendor ID.
- ML Model Accuracy Monitoring Information.
Outputs, Required: Set of:
- the tuple (Analytics ID or an indication (i.e. LMF-based AI/ML Positioning), one or more tuples of unique ML Model identifier and the information as defined in clause 6.2A.2.
Outputs, Optional: ML Model Accuracy Information.
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7.7 Nnwdaf_RoamingAnalytics Service
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7.7.1 General
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Service Description: This service enables the consumer to request or to subscribe/unsubscribe for network data analytics related to roaming UE(s).
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7.7.2 Nnwdaf_RoamingAnalytics_Subscribe service operation
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Service operation name: Nnwdaf_RoamingAnalytics_Subscribe
Description: Subscribes to NWDAF analytics related to roaming UE(s).
Inputs, Required:
- (Set of) Analytics ID(s).
- PLMN ID of the consumer NWDAF.
- Target of Analytics Reporting.
- Notification Target Address (+ Notification Correlation ID).
- Analytics Reporting Parameters (including Analytics target period, etc.).
NOTE 1: Target of Analytics Reporting can be provided per individual Analytics ID.
NOTE 2: Target of Analytics Reporting sent by the V-RE-NWDAF to the H-RE-NWDAF only contains the inbound roaming UE(s), and the Target of Analytics Reporting sent by the H-RE-NWDAF to the V-RE-NWDAF only contains the outbound roaming UE(s).
Inputs, Optional:
- Analytics Filter Information.
- Time window for historical analytics.
- Subscription Correlation ID (in the case of modification of the analytics subscription).
- preferred level of accuracy of the analytics.
- preferred level of accuracy per analytics subset.
- Reporting Thresholds.
- maximum number of objects requested (max).
- preferred order of results, maximum number of SUPIs requested (SUPImax).
- time when analytics information is needed.
- Output strategy.
- NF (or NF-Set) ID(s) of NFs in VPLMN serving the UE(s) in Target of Analytics Reporting.
NOTE 3: Analytics Filter Information, Reporting Thresholds, maximum number of objects requested (max), maximum number of SUPIs requested (SUPImax) and time when analytics information is needed can be provided per individual Analytics ID.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription). When the subscription is not accepted, an error response.
Outputs, Optional: None.
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7.7.3 Nnwdaf_RoamingAnalytics_Unsubscribe service operation
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Service operation name: Nnwdaf_RoamingAnalytics_Unsubscribe
Description: Unsubscribe to NWDAF analytics related to roaming UE(s).
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.7.4 Nnwdaf_RoamingAnalytics_Notify service operation
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Service operation name: Nnwdaf_RoamingAnalytics_Notify
Description: NWDAF notifies the consumer instance of the analytics related to roaming UE(s) that the consumer has subscribed to.
Inputs, Required: Notification Correlation Information: this parameter indicates the Notification Correlation Id that has been assigned by the consumer during analytics subscription.
Inputs, Optional:
- Set of the tuple (Analytics ID, Analytics specific parameters): this parameter shall be present if output analytics are reported.
- Timestamp of analytics generation.
- Validity period.
- Confidence
- Revised waiting time.
- Termination Request: this parameter indicates that NWDAF requests to terminate the analytics subscription, i.e. NWDAF will not provide further notifications related to this subscription, with cause value (e.g. user consent revoked, NWDAF overload, UE moved out of NWDAF serving area, etc.).
NOTE: Validity period can also be provided as part of Analytics specific parameters for some NWDAF output analytics.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.7.5 Nnwdaf_RoamingAnalytics_Request service operation
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Service operation name: Nnwdaf_RoamingAnalytics_Request
Description: The consumer requests analytics related to roaming UE(s).
Inputs, Required:
- (Set of) Analytics ID(s).
- PLMN ID of the consumer NWDAF.
- Target of Analytics Reporting.
- Analytics Reporting Parameters (including Analytics target period, etc.).
NOTE 1: Target of Analytics Reporting can be provided per individual Analytics ID.
NOTE 2: Target of Analytics Reporting sent by the V-RE-NWDAF to the H-RE-NWDAF only contains the inbound roaming UE(s), and the Target of Analytics Reporting sent by the H-RE-NWDAF to the V-RE-NWDAF only contains the outbound roaming UE(s).
Inputs, Optional:
- Analytics Filter Information.
- Time window for historical analytics.
- preferred level of accuracy of the analytics.
- preferred level of accuracy per analytics subset.
- Reporting Thresholds.
- maximum number of objects requested (max).
- preferred order of results, maximum number of SUPIs requested (SUPImax).
- time when analytics information is needed.
- Output strategy.
- NF (or NF-Set) ID(s) of NFs in VPLMN serving the UE(s) in Target of Analytics Reporting.
NOTE 3: Analytics Filter Information, Reporting Thresholds, maximum number of objects requested (max), maximum number of SUPIs requested (SUPImax) and time when analytics information is needed can be provided per individual Analytics ID.
Outputs, Required: If the request is accepted, then set of the tuple (Analytics ID, Analytics specific parameters). When the request is not accepted, an error response.
Outputs, Optional: Timestamp of analytics generation, validity period, confidence, revised waiting time.
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7.8 Nnwdaf_RoamingData Service
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7.8.1 General
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Service Description: This service enables the consumer to subscribe/unsubscribe for input data related to roaming UE(s) for NWDAF analytics.
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7.8.2 Nnwdaf_RoamingData_Subscribe service operation
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Service operation name: Nnwdaf_RoamingData_Subscribe
Description: Subscribe to input data related to roaming UE(s). The consumer subscribes to receive data, or if the data is already requested from the RE-NWDAF, then the subscription is updated. The subscription includes service operation specific parameters that identify the data to be provided and may include formatting and processing instructions that specify how the data is to be delivered to the consumer. The consumer may request bulked data related to Analytics, as an alternative to asking individual events (i.e. subscription to multiple event IDs to obtain the data required for an analytics generation).
Inputs, Required: PLMN ID of the consumer NWDAF, Data Specification, Notification Target Address(es) (+ Notification Correlation ID(s)).
When the required data is data for Event IDs received from NFs, the Data Specification includes set of Event IDs, Event Filter Information, Target of Event Reporting.
When the required data is a bulked data for an Analytics ID, the Data Specification includes Target of Reporting with the Analytics ID to generate bulked data, Target of Analytics reporting and Analytics Filter.
Inputs, Optional: Service Operation, Time Window, NF (or NF-Set) ID of data source (e.g. AMF, SMF), Formatting Instructions, Processing Instructions.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription). When the subscription is not accepted, an error response.
Outputs, Optional: First corresponding event report is included, if available (see clause 4.15.1 of TS 23.502 [3]), Requested data.
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7.8.3 Nnwdaf_RoamingData_Unsubscribe service operation
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Service operation name: Nnwdaf_RoamingData_Unsubscribe
Description: Unsubscribe to input data related to roaming UE(s).
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: The pending data that have not been sent to the consumer yet.
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7.8.4 Nnwdaf_RoamingData_Notify service operation
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Service operation name: Nnwdaf_RoamingData_Notify
Description: NWDAF notifies the consumer about input data related to roaming UE(s) that the consumer has subscribed to.
Inputs, Required: Notification Correlation Information: this parameter indicates the Notification Correlation Id that has been assigned by the consumer during analytics subscription. Time stamp representing time when NWDAF completed preparation of the requested data.
Inputs, Optional:
- Requested Data with timestamp;
- Termination Request.
NOTE 1: If the NWDAF has received the notifications from another source without a timestamp, then the NWDAF adds itself a timestamp based on the time it received the notification.
Termination Request indicates that NWDAF requests to terminate the data subscription, i.e. NWDAF will not provide further notifications related to this subscription.
NOTE 2: Data provided in notifications are processed and formatted according to the Processing and Formatting Instructions provided by the Consumer in Nnwdaf_RoamingData_Subscribe.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.9 Nnwdaf_MLModelMonitor Service
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7.9.1 General
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Service Description: This service enables the consumer to subscribe/unsubscribe for ML Model accuracy (i.e. Analytics accuracy for an ML Model as described in clause 6.2E.3.3) information monitored. The service can additionally provide Analytics Feedback Information for the analytics generated by an NWDAF (i.e. NWDAF containing AnLF). The service also enables the NWDAF containing AnLF registers the use and monitoring capability for an ML Model into the model provider NWDAF, i.e. NWDAF containing MTLF.
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7.9.2 Nnwdaf_MLModelMonitor_Subscribe service operation
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Service operation name: Nnwdaf_MLModelMonitor_Subscribe
Description: Subscribes to NWDAF for the monitored ML Model accuracy (i.e. Analytics accuracy for an ML Model as described in clause 6.2E.3.3) information and Analytics Feedback Information for the analytics generated by the NWDAF with specific parameters.
Inputs, Required: (set of) Unique ML Model identifier(s), Notification Target Address (+ Notification Correlation ID).
Inputs, Optional: Subscription Correlation ID (in the case of modification of the ML Model monitor subscription), desired Accuracy metrics to indicate the metrics to calculate the accuracy information, reporting period to indicate the reporting periodicity in which the monitored ML Model Accuracy Information shall be reported, Accuracy reporting threshold to indicate the reporting condition across which the accuracy information shall be reported, Analytics ID, Target of Analytics Reporting and Analytics filter.
Analytics ID, Target of Analytics Reporting and Analytics filter for each ML Model identifier should reflect the corresponding information received in the Nnwdaf_MLModelMonitor_Register request from the NWDAF containing AnLF to which the current NWDAF containing MTLF subscribes.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription), Expiry time (required if the subscription can be expired based on the operator's policy).
Outputs, Optional: None.
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7.9.3 Nnwdaf_MLModelMonitor_Unsubscribe service operation
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Service operation name: Nnwdaf_MLModelMonitor_Unsubscribe
Description: The NF consumer unsubscribes to the NWDAF for the monitored ML Model accuracy (i.e. Analytics accuracy for an ML Model as described in clause 6.2E.3.3) information and Analytics Feedback Information for the analytics generated by the NWDAF.
Inputs, Required: Subscription Correlation ID.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.9.4 Nnwdaf_MLModelMonitor_Notify service operation
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Service operation name: Nnwdaf_MLModelMonitor_Notify.
Description: NWDAF notifies the monitored ML Model accuracy (i.e. Analytics accuracy for an ML Model as described in clause 6.2E.3.3) information and Analytics Feedback Information for the analytics generated by the NWDAF to the consumer instance which has subscribed to the specific NWDAF service.
Inputs, Required: Notification Correlation Information, at least one of the following:
- the monitored ML Model Accuracy Information which includes:
- Unique ML Model identifier;
- Monitoring interval: time interval during which the ML Model Accuracy Monitoring was conducted;
- Monitored Analytics metrics value of the ML Model and a deviation value which indicates the deviation of the predictions generated using the ML Model(s) from the ground truth data;
- Number of inferences that were performed during the monitoring interval;
- Used Accuracy metrics (as requested in Subscribe service operation).
- Analytics Feedback Information: indicates that the consumer NF of the analytics generated by the provisioned ML Model has taken an action(s) influenced by the analytics and includes the following parameter(s):
- Corresponding Analytics ID(s) which has been used for taking an action(s);
- Corresponding ML Model identifier(s) which has been used for generating Analytics;
- Indication whether the action will affect on ground truth data (if available);
- Time stamp(s) when the action(s) are taken.
Inputs, Optional:
- Input data used for inferencing indicated by DataSetTag with ADRF ID when the prediction generated from the ML Model is not correct (which can be used by the NWDAF containing MTLF for possible ML Model retraining);
NOTE: How MTLF/AnLF determines whether the prediction is correct one is up to implementation.
- An indication that the analytics metrics value of the ML Model does not meet the requirement of accuracy for the ML Model.
- Analytics ID;
- Target of Analytics Reporting;
- Analytics filter for which the model is used for.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.9.5 Nnwdaf_MLModelMonitor_Register
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Service operation name: Nnwdaf_MLModelMonitor_Register
Description: The consumer registers the use and monitoring capability for an ML Model at an NWDAF containing MTLF.
Inputs, Required: Consumer NF ID, Unique ML Model identifier.
Inputs, Optional: Endpoint address of the Nnwdaf_MLModelMonitor_Subscribe service operation, ML Model accuracy transfer indication as defined in clause 6.2E.3.2, Analytics ID, Target of Analytics Reporting and the Analytics filter for which the model is used for.
Outputs, Required: ML Model monitoring registration ID.
Outputs, Optional: None.
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7.9.6 Nnwdaf_MLModelMonitor_Deregister
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Service operation name: Nnwdaf_MLModelMonitor_Deregister
Description: The consumer deregisters, from an NWDAF containing MTLF, a previous MLModelMonitor registration, e.g. when the consumer is no longer using or monitoring the accuracy of the analytics generated using the ML Model.
Inputs, Required: ML Model monitoring registration ID.
Inputs, Optional: A termination indication, a termination cause, the NWDAF containing AnLF NF ID of the target NWDAF (in the case that the termination cause is due to analytics transfer).
Outputs, Required: None.
Outputs, Optional: None.
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7.10 Nnwdaf_MLModelTraining Service
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7.10.1 General
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Service Description: This service enables the consumer to subscribe/unsubscribe/notify/modify for ML Model training.
NOTE: In this Release of the specification, the service provider and consumer are limited to NWDAF containing MTLF only for Federated Learning.
When used for Federated Learning, this service enables FL server NWDAF to enable Federated Learning while providing global ML Model information to FL Client NWDAF and getting local ML Model information and status report of FL training as defined in clause 6.2C.2.3 from the FL Client NWDAF.
This service may also be used by the consumer (i.e. FL Server NWDAF) to check if the service provider (i.e. FL Client NWDAF) can meet the ML Model training requirement as described in clause 6.2F.1.
This service may also be used by the consumer (i.e. FL Server NWDAF) to request the service provider (i.e. FL Client NWDAF) to calculate and provide Model Accuracy of the global ML Model as described in clause 6.2F.1.
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7.10.2 Nnwdaf_MLModelTraining_Subscribe service operation
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Service operation name: Nnwdaf_MLModelTraining_Subscribe
Description: Subscribes to NWDAF ML Model training with specific parameters.
Inputs, Required:
- Analytics ID as defined in Table 7.1-2;
- ML Model Interoperability information;
- Notification Target Address (+ Notification Correlation ID).
Inputs, Optional:
- ML Model identifier: identifies the provided ML Model.
- ML Model Information (as defined in clause 6.2A.2);
- ML Model file;
- Subscription Correlation ID (in the case of modification of the ML Model Training subscription);
- ML Training Information, i.e. data availability requirement, time availability requirement.
- ML Preparation Flag;
- ML Model Accuracy Check Flag;
- ML Correlation ID;
- Training Filter Information;
- Target of Training Reporting;
- Training Reporting Information as defined in clause 6.2F.2;
- Use case context;
- Iteration round ID;
- Expiry time.
- Indication of skipping the current FL round.
Outputs Required: When the request is accepted: Subscription Correlation ID (required for management of this subscription). When the request is not accepted, an error response with cause code (e.g. NWDAF does not meet the ML training requirements, ML training is not complete, NWDAF overload, not available for the FL process anymore, etc.).
NOTE: The detail reasons in the cause code are up to Stage 3.
Outputs, Optional: ML Correlation ID (e.g. confirm of the subscription for this FL process).
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7.10.3 Nnwdaf_MLModelTraining_Unsubscribe service operation
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Service operation name: Nnwdaf_MLModelTraining_Unsubscribe
Description: Terminate NWDAF ML Model training.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Cause code (e.g. FL Client NWDAF is unselected by the FL Server NWDAF for the FL process, or the FL process is suspended or finished, etc.). Final aggregated ML Model information (if FL has finished) or updated aggregated ML Model information (if FL is suspended).
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7.10.4 Nnwdaf_MLModelTraining_Notify service operation
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Service operation name: Nnwdaf_MLModelTraining_Notify
Description: NWDAF notifies the consumer instance of the trained ML Model that has subscribed to the specific NWDAF service. The NWDAF can also use this service to indicate to consumer it will terminate the ML Model training.
Inputs, Required:
- Notification Correlation Information: this parameter indicates the Notification Correlation ID that has been assigned by the consumer during ML Model training.
Inputs, Optional:
- Set of the tuple (Analytics ID, ML Model Information as defined in clause 6.2F.2;
- ML Correlation ID, when for Federated Learning;
- Corresponding Use case context;
- Termination Request: this parameter indicates that NWDAF requests to terminate the ML Model training, i.e. NWDAF will not provide further notifications related to this request, with cause code (e.g. NWDAF overload, not available for the FL process anymore, etc.);
- ML Model identifier: this parameter identifies the provisioned ML Model;
- Global ML Model Accuracy information: The model accuracy of the global ML Model, which is calculate by the FL Client NWDAF using the local training data as the testing dataset;
- Status report of FL training: local ML Model accuracy information and Training Input Data Information (e.g. areas covered by the data set, sampling ratio, maximum/minimum of value of each dimension, etc.), which are generated by the FL Client NWDAF during FL procedure;
- Delay Event Notification: as defined in clause 6.2F.2;
- Iteration round ID.
NOTE: The detail reasons in the cause code are up to stage 3.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.11 Nnwdaf_MLModelTrainingInfo Service
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7.11.1 General
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Service Description: This service enables the consumer to request for the information about ML Model training based on the ML Model file or ML Model information as described in clause 6.2F.2 provided by the consumer.
NOTE: In this Release of the specification, the service provider and consumer are limited to NWDAF containing MTLF only for Federated Learning.
When used for Federated Learning, this service enables FL server NWDAF to enable Federated Learning while providing global ML Model information to FL Client NWDAF and getting local ML Model information from the FL Client NWDAF.
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7.11.2 Nnwdaf_MLModelTrainingInfo_Request service operation
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Service operation name: Nnwdaf_MLModelTrainingInfo_Request
Description: Request information about NWDAF ML Model training with specific parameters.
Inputs, Required:
- Analytics ID as defined in Table 7.1-2.
- ML Model Interoperability information.
Inputs, Optional:
- ML Model identifier: identifies the provided ML Model.
- ML Model Information (as defined in clause 6.2A.2).
- ML Model file.
- ML Training Information (i.e. data availability requirement, time availability requirement).
- Training Reporting Information as defined in clause 6.2F.2.
- ML Preparation Flag.
- ML Model Accuracy Check Flag.
- ML Correlation ID.
- Termination Request, when terminating the Federated Learning identified by the ML Correlation ID and optionally indicating the reason, e.g. FL Client NWDAF is unselected by the FL Server NWDAF for the FL process, or the FL process is suspended, etc.
- Training Filter Information.
- Target of Training Reporting.
- Use case context.
- Indication of skipping the current FL round.
Outputs Required: When the request is accepted: Operation execution result indication. When the request is not accepted, an error response with cause code (e.g. NWDAF does not meet the ML training requirements, ML training is not complete, NWDAF overload, not available for the FL process anymore, etc.).
NOTE: The detail reasons in the cause code are up to stage 3.
Outputs, Optional:
- ML Model identifier.
- Set of the tuple (Analytics ID, ML Model Information (as defined in clause 6.2A.2)).
- ML Correlation ID, when for Federated Learning.
- Corresponding Use case context.
- Global ML Model Accuracy information: The model accuracy of the global ML Model, which is calculate by the FL Client NWDAF using the local training data as the testing dataset.
- Status report of FL training: local ML Model Accuracy Information and Training Input Data Information (e.g. areas covered by the data set, sampling ratio, maximum/minimum of value of each dimension of data, etc.), which are generated by the FL Client NWDAF during FL procedure.
- Delay Event Notification as defined in clause 6.2F.2.
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7.12 Nnwdaf_VFLTraining Service
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7.12.1 General
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Service Description: This service is provided by an NWDAF acting as VFL client and enables an NWDAF VFL server, an AF VFL server or an NEF acting on its behalf as consumer to request the NWDAF to participate in VFL preparation and model training as VFL client.
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7.12.2 Nnwdaf_VFLTraining_Subscribe service operation
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Service operation name: Nnwdaf_VFLTraining_Subscribe
Description: Subscribes to VFL ML Model training information.
Inputs, Required:
For new subscription:
- Analytics ID as defined in Table 7.1-2.
- Notification Target Address (+ Notification Correlation ID).
When updating a subscription:
- Subscription Correlation ID.
Inputs, Optional:
- Analytics filter information.
- maximum response time.
- intermediate training information.
- VFL Correlation ID is added by server at VFL training process start.
- VFL Interoperability Information.
- Feature ID.
Outputs Required: When the request is accepted: Subscription Correlation ID (required for management of this subscription). When the request is not accepted, an error response with cause code
NOTE: The detail reasons in the cause code are up to Stage 3.
Outputs, Optional:
- client intermediate training results.
- VFL status report to the consumer, according to clause 6.2H.2.3.1.
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7.12.3 Nnwdaf_VFLTraining_Unsubscribe service operation
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Service operation name: Nnwdaf_VFLTraining_Unsubscribe
Description: Terminate NWDAF VFL ML Model training.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Cause code.
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7.12.4 Nnwdaf_VFLTraining_Notify service operation
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Service operation name: Nnwdaf_VFLTraining_Notify
Description: NWDAF notifies the consumer of client intermediate training result of the local ML model.
Inputs, Required:
- Notification Correlation Information.
Inputs, Optional:
- Client intermediate training result.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.12.5 Nnwdaf_VFLTraining_Request service operation
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Service operation name: Nnwdaf_VFLTraining_Request
Editor´s note: Name of this service operation and its necessity and its content is FFS. It is also FFS whether it can be replaced by a subscription request for the preparation.
Description: In preparation of VFL training, requests NWDAF VFL client to check if it can support requirements for VFL.
Inputs, Required:
Inputs, Optional: None.
Outputs Required: When the request is accepted:
When the request is not accepted, an error response with cause code
NOTE: The detail reasons in the cause code are up to Stage 3.
Outputs, Optional:
- Feature ID.
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7.13 Nnwdaf_VFLInference Service
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7.13.1 General
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Service Description: This service is provided by an NWDAF acting as VFL client and enables an VFL server as consumer to request or subscribe/unsubscribe for a VFL inference.
When the subscription is accepted by the NWDAF containing AnLF, the consumer receives from the NWDAF an identifier (Subscription Correlation ID) allowing to further manage (modify, delete) this subscription.
Editor´s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed.
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7.13.2 Nnwdaf_VFLInference_Subscribe service operation
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Service operation name: Nnwdaf_VFLInference_Subscribe
Description: Subscribe to VFL inference.
Inputs, Required:
For new subscription:
- Notification Target Address (+ Notification Correlation ID).
- Analytics ID.
- VFL Correlation ID.
- Target of VFL inference.
When updating a subscription:
- Subscription Correlation ID.
Inputs, Optional:
- VFL inference filter.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription). When the subscription is not accepted, an error response.
Outputs, Optional: Client intermediate results.
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7.13.3 Nnwdaf_VFLInference_Unsubscribe service operation
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Service operation name: Nnwdaf_VFLInference_Unsubscribe
Description: Unsubscribe to VFL inference.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.13.4 Nnwdaf_VFLInference_Notify service operation
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Service operation name: Nnwdaf_VFLInference_Notify
Description: Notify VFL inference result.
Inputs, Required:
- Notification Correlation Information.
Inputs, Optional:
- client intermediate results.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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7.13.5 Nnwdaf_VFLInference_Request service operation
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Service operation name: Nnwdaf_VFLInference_Request
Description: The consumer requests the NWDAF to perform a one-time VFL inference.
Inputs, Required:
- Target of VFL inference.
- VFL Correlation ID.
- Analytics ID.
Inputs, Optional:
- VFL inference filter.
Outputs, Required: If the request is accepted, then client intermediate results. When the request is not accepted, an error response.
Outputs, Optional: None.
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8 DCCF Services
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8.1 General
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Table 8.1-1 shows the DCCF services and DCCF service operations.
Table 8.1-1: NF services provided by DCCF
Service Name
Service Operations
Operation Semantics
Example Consumer(s)
Ndccf_DataManagement
Subscribe
Subscribe / Notify
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Unsubscribe
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Notify
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Fetch
Request / Response
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Transfer
Request / Response
DCCF
Ndccf_ContextManagement
Register
Request / Response
NWDAF, ADRF
Update
Request / Response
NWDAF, ADRF
Deregister
Request / Response
NWDAF, ADRF
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8.2 Ndccf_DataManagement service
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8.2.1 General
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Service Description: This service enables the consumer to subscribe/unsubscribe for data or analytics via the DCCF, be notified about data or analytics exposed by the DCCF, fetch the subscribed data and have data delivered via the DCCF or via a messaging framework. Historical data, or runtime data may be obtained using this service.
When the subscription is accepted by the DCCF, the consumer NF receives from the DCCF an identifier (Subscription Correlation ID) allowing it to further manage (modify, delete) the subscription.
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8.2.2 Ndccf_DataManagement_Subscribe service operation
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Service operation name: Ndccf_DataManagement_Subscribe
Description: The consumer subscribes to receive data or analytics (which is regarded as a kind of data), or if the data is already requested from the DCCF, then the subscription is updated. The subscription includes service operation specific parameters that identify the data or analytics to be provided and may include formatting and processing instructions that specify how the data is to be delivered to the consumer. The consumer may also request that data be stored in an ADRF or an NWDAF hosting ADRF functionality. When historical data is being obtained, the consumer may specify the ID of the ADRF or NWDAF containing the data.
Inputs, Required: Service operation, Analytics Specification or Data Specification, Notification Target Address(es) (+ Notification Correlation ID (s)).
Inputs, Optional: Time Window, NF (or NF-Set) ID, ADRF or NWDAF hosting ADRF information where collected data are to be stored, ADRF ID where historical data are stored, Formatting Instructions, Processing Instructions, user consent check information (i.e. an indication that the data consumer has checked user consent), purpose for data collection, Storage Handling Information.
"Service Operation" identifies the service used by the DCCF to request data or analytics from a Data Source (e.g.: Namf_EventExposure_Subscribe or Nnwdaf_AnalyticsSubscription_Subscribe)
"Analytics Specification or Data Specification" is the "Service Operation" specific required and optional input parameters that identify the data to be collected (e.g. Analytics ID(s) / Event ID (s), Target of Analytics Reporting or Target of Event Reporting, Analytics Filter or Event Filter, etc.). Service Operations and input parameters are defined in clause 7 for NWDAF and in TS 23.502, clause 5.2 for the other NFs.
"Time Window" is the start and stop time when the requested data or analytics was or will be collected. If the Time Window includes a period in the past, then the data or analytics collection is "historical". If the Time Window includes a period in the future, the data or analytics collection is "runtime".
NOTE 1: Time Window parameter is different from the "Analytics target period" defined in clause 6.1.3.
NOTE 2: When Time Window is not provided, the consumer subscribes to runtime data or analytics collection, with no end time specified.
NF (or NF-Set) ID specifies a data source that may provide the data.
ADRF Information specifies that collected data or analytics is to be stored in an ADRF and optionally an ADRF or NWDAF ID.
Formatting Instructions and Processing Instructions are as defined in clause 5A.4.
Storage Handling Information is described in clause 5B.1.
Outputs Required: When the subscription is accepted: Subscription Correlation ID (required for management of this subscription). When the subscription is not accepted: An error response.
Outputs, Optional: First corresponding event report is included, if available (see clause 4.15.1 of TS 23.502 [3]), Requested data, Storage Approach (see clause 5B.1).
NOTE 3: When the Target of Event Reporting or Target of Reporting is a SUPI or a GPSI then the subscription may not be accepted, e.g. for user consent is not granted and an error is sent to the consumer. When the Target of Event Reporting or Target of Reporting is an Internal Group Id, or a list of SUPIs/GPSI(s) or any UE, no error is sent, but a SUPI or GPSI is skipped if user consent is not granted.
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8.2.3 Ndccf_DataManagement_Unsubscribe service operation
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Service operation name: Ndccf_DataManagement_Unsubscribe
Description: The consumer unsubscribes to DCCF for data or analytics.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: The pending (events) data that is not sent to the consumer yet.
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8.2.4 Ndccf_DataManagement_Notify service operation
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Service operation name: Ndccf_DataManagement_Notify
Description: DCCF notifies the consumer instance of the requested data or analytics (which is regarded as a kind of data) according to the request, or notifies of the availability of previously subscribed Data or Analytics when data delivery is via the DCCF. The DCCF may also notify the consumer instance when Data or Analytics is to be deleted.
Inputs, Required: Notification Correlation Information, time stamp representing time when DCCF completed preparation of the requested data.
Inputs, Optional: Requested Data with timestamp or Analytics with timestamp, Fetch Instructions, Termination Request, Data or Analytics Deletion Alert.
NOTE 1: If the DCCF has received the notifications from another source (e.g. NWDAF) without a timestamp, then the DCCF adds itself a timestamp based on the time it received the notification.
Fetch Instructions indicate whether the data or analytics are to be fetched by the Consumer. If the data or analytics are to be fetched, the fetch instructions include an address from which the data may be fetched, one or more Fetch Correlation IDs and a deadline to fetch the data (Fetch Deadline).
Termination Request indicates that the DCCF requests to terminate the data management subscription, i.e. DCCF will not provide further notifications related to this subscription.
Pending Notification Cause indicates the cause of the pending notification of the stored unsent data, e.g. the data cannot be collected any more due to UE moved out of DCCF serving area.
Data or Analytics Deletion Alert is described in clause 5B.1.
NOTE 2: Data or Analytics provided in notifications are processed and formatted according to the Processing and Formatting Instructions provided by the Consumer in Ndccf_DataManagement_Subscribe.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Data or Analytics Retrieval Indication.
The Data or Analytics Retrieval Indication may be sent if the notification contains a Data or Analytics Deletion Alert. The Data or Analytics Retrieval Indication indicates if the consumer will retrieve stored data or analytics prior to deletion (see clause 6.2B.3).
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8.2.5 Ndccf_DataManagement_Fetch service operation
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Service operation name: Ndccf_DataManagement_Fetch
Description: Consumer retrieves from the DCCF, data or analytics (which is regarded as a kind of data) as indicated by Ndccf_DataManagement_Notify Fetch Instructions.
Inputs, Required: Set of Fetch Correlation ID(s).
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Requested data or Analytics.
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8.2.6 Ndccf_DataManagement_Transfer service operation
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Service operation name: Ndccf_DataManagement_Transfer
Description: Source DCCF transfers UE data subscription context to the target DCCF.
Inputs, Required: UE data subscription context(UE ID, Data Specification, Notification Target Address(es) (+ Notification Correlation ID(s))).
Inputs, Optional: Service Operation, Time Window, NF (or NF-Set) ID, ADRF or NWDAF hosting ADRF information where data are to be stored.
Outputs Required: Subscription Correlation ID, Operation execution result indication.
Outputs, Optional: None.
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8.3 Ndccf_ContextManagement service
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8.3.1 General
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Service Description: This service enables the consumer to register collected data or analytics with the DCCF.
When the DCCF is configured by the consumer NF, the DCCF supplies a Transaction Reference Id. The Consumer NF may use the Transaction Reference Id in subsequent transactions to update or delate the context in the DCCF.
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8.3.2 Ndccf_ContextManagement_Register service operation
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Service operation name: Ndccf_ContextManagement_Register
Description: The consumer NF uses this service operation to register data or analytics it is collecting to the DCCF. The registration includes a service operation specific Analytics/Data Specification that identifies the data or analytics that are being collected or has been collected.
Inputs, Required: Service Operation, Analytics/Data Specification, NWDAF ID or ADRF ID.
Inputs, Optional: None
NOTE: The input parameters are defined as:
- "Service Operation" identifies the service used to collect the data or analytics from a Data Source (e.g. Namf_EventExposure_Subscribe or Nnwdaf_AnalyticsSubscription_Subscribe).
- "Analytics/Data Specification" is the "Service Operation" specific required and optional input parameters that identify the collected data (i.e. Analytics ID(s) / Event ID (s), Target of Analytics Reporting or Target of Event Reporting, Analytics Filter or Event Filter, etc.). NF Service Operations and input parameters are defined in clause 7 and clause 5.2 of TS 23.502 [3].
- NWDAF ID or ADRF ID specify the ADRF or NWDAF with the stored data.
Outputs Required: Transaction Reference ID(s), Operation execution result indication.
Outputs, Optional: None.
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8.3.3 Ndccf_ContextManagement_Update service operation
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Service operation name: Ndccf_ContextManagement_Update
Description: The consumer NF uses this service operation to update a registration of data or analytics to the DCCF. The registration update includes a service operation specific Analytics/Data Specification that identifies the data or analytics that is being collected or has been collected.
Inputs, Required: Transaction Reference ID(s), Service Operation, Analytics/Data Specification
Inputs, Optional: None
NOTE: The input parameters are defined in clause 8.3.2.
Outputs Required: Transaction Reference ID(s), Operation execution result indication.
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8.3.4 Ndccf_ContextManagement_Deregister service operation
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Service operation name: Ndccf_ContextManagement_Deregister
Description: The consumer NF uses this service operation to delete a registration of data or analytics to the DCCF.
Inputs, Required: Transaction Reference ID(s)
Inputs, Optional: None
Outputs Required: Transaction Reference ID(s), Operation execution result indication.
Outputs, Optional: None.
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9 MFAF Services
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9.1 General
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Table 9.1-1 shows the MFAF services and MFAF service operations.
Table 9.1-1: NF services provided by MFAF
Service Name
Service Operations
Operation Semantics
Example Consumer(s)
Nmfaf_3daDataManagement
Configure
Request / Response
DCCF, NWDAF (when hosting DCCF)
Deconfigure
Request / Response
DCCF, NWDAF (when hosting DCCF)
Nmfaf_3caDataManagement
Notify
Subscribe / Notify
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Fetch
Request / Response
NWDAF, PCF, NSSF, AMF, SMF, NEF, AF, ADRF, LMF
Nmfaf_ContextManagement
Transfer
Request / Response
MFAF
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9.2 Nmfaf_3daDataManagement service
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9.2.1 General
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Service Description: The consumer (e.g. DCCF) uses this service to instruct the MFAF to map data or analytics received by the MFAF to out-bound notification endpoints. Configuration of the MFAF by the consumer may include formatting and processing instructions for each notification endpoint as described in clause 5A.4. The sending of historical data or run-time data may be configured/deconfigured using this service.
When the MFAF is configured by the consumer NF, the MFAF provides a Transaction Reference Id. The Consumer NF may use the Transaction Reference Id in subsequent transactions to modify or remove (deconfigure) the sending of data to consumers.
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9.2.2 Nmfaf_3daDataManagement_Configure service operation
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Service operation name: Nmfaf_3daDataManagement_Configure
Description: The consumer configures or reconfigures the MFAF to map data or analytics received by the MFAF to out-bound notification endpoints and to format and process the out-bound data or analytics. The consumer may also use this service operation with a target MFAF to request that it transfer MFAF UE context(s) from the indicated MFAF.
Inputs, Required: None.
Inputs, Optional: Data Consumer or Analytics Consumer Information, Formatting Instructions, Processing Instructions, MFAF Notification Information, Transaction Reference Id, ADRF ID, MFAF Transfer Information.
"Data Consumer or Analytics Consumer Information" contains for each notification endpoint, the consumer provided Notification Target Address (+ Analytics Consumer Notification Correlation ID) or other endpoint addresses if provisioned on the DCCF to be used by the MFAF when sending notifications. The consumer includes this information except when initiating a UE context transfer between a source MFAF and a target MFAF.
"MFAF Notification Information" is used to identify Event Notifications received from a Data Source and comprises the MFAF Notification Target Address (+ MFAF Notification Correlation ID). If a Data Source is already supplying the data to the MFAF, the MFAF Notification Information previously provided by the MFAF and used by the DCCF to obtain data from a Data Source is provided as an Input. If a new subscription to a Data Source is needed, the MFAF Notification Information is not specified as an Input and the MFAF provides Notification Information as an output. The MFAF Notification Information may subsequently be used by the DCCF when subscribing to a Data Source. "ADRF ID" is used to identify the ADRF when DCCF requests that the Messaging Framework to store historical data and analytics in the ADRF via Nadrf_DataManagement_StorageRequest. When a Notification Correlation ID is provided, MFAF shall use the Nmfaf_3caDataManagement_Notify service with the notification correlation ID to send the data or analytics to the ADRF.
"MFAF Transfer Information" consists of a Transfer Initiation flag together with ID of the MFAF currently holding the UE context, UE MFAF Context Identifier(s) (i.e. the Transaction Reference ID(s) that was returned to the consumer when using the Nmfaf_3daDataManagement_Configure service operation to configure or update the MFAF).
Outputs Required: Operation execution result indication.
Outputs, Optional: MFAF Notification Information, Transaction Reference Id.
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9.2.3 Nmfaf_3daDataManagement_Deconfigure service operation
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Service operation name: Nmfaf_3daDataManagement_Deconfigure
Description: The consumer configures the MFAF to stop mapping data or analytics received by the MFAF to one or more out-bound notification endpoints.
Inputs, Required: Data Consumer or Analytics Consumer Information, Transaction Reference Id.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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9.3 Nmfaf_3caDataManagement service
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9.3.1 General
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Service Description: This service is used to supply data or analytics from the MFAF to notification endpoints. Notifications may contain data or analytics, or an indication of availability of data or analytics.
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9.3.2 Nmfaf_3caDataManagement_Notify service operation
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Service operation name: Nmfaf_3caDataManagement_Notify
Description: Provides data or analytics or notification of availability of data or analytics to notification endpoints.
Inputs, Required: Notification Correlation Information.
Inputs, Optional: Requested Data with timestamp or Analytics with timestamp, Fetch Instructions.
NOTE 1: If the MFAF has received the notifications from another source (e.g. NWDAF) without a timestamp, then the MFAF adds itself a timestamp based on the time it received the notification.
Fetch Instructions indicate whether the data or analytics are to be fetched by the Consumer. If the data or analytics are to be fetched, the fetch instructions include an address from which the data may be fetched, one or more Fetch Correlation IDs and a deadline to fetch the data (Fetch Deadline).
NOTE 2: Data or Analytics provided in notifications can be processed and formatted according to the Processing and Formatting Instructions provided by the Consumer.
Outputs, Required: None.
Outputs, Optional: None.
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9.3.3 Nmfaf_3caDataManagement_Fetch service operation
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Service operation name: Nmfaf_3caDataManagement_Fetch
Description: Consumer retrieves from the MFAF, data or analytics (which is regarded as a kind of data) as indicated by Nmfaf_3caDataManagement_Notify Fetch Instructions.
Inputs, Required: Set of Fetch Correlation ID(s).
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Requested Data or Analytics.
NOTE: Data or Analytics provided in notifications can be processed and formatted according to the Processing and Formatting Instructions provided by the Consumer.
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9.4 Nmfaf_ContextManagement service
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9.4.1 General
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Service Description: This service is used to transfer MFAF UE context information to a consumer (e.g. a target MFAF). It may be triggered by a Nmfaf_3daDataManagement_Configure request.
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9.4.2 Nmfaf_ContextManagement_Transfer service operation
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Service operation name: Nmfaf_ContextManagement_Transfer
Description: Provides MFAF UE context to a consumer.
Inputs, Required: (Set of) UE MFAF Context Identifier(s) (i.e. the Transaction Reference ID that was returned to the consumer when using the Nmfaf_3daDataManagement_Configure service operation to configure or update the MFAF).
NOTE: These identifiers can have been received from the DCCF via the Nmfaf_3daDataManagement_Configure request (see clause 6.2.6.3.8).
Inputs, Optional: None.
Outputs, Required: Operation execution result indication. For success Set of MFAF Context(s) (i.e. for each Transaction Reference ID provided as input Data Consumer Information, optionally Formatting Instructions and Processing Instructions, and possible buffered partial contents of pending notifications).
Outputs, Optional: None.
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10 ADRF Services
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10.1 General
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Table 10.1-1 shows the ADRF services and ADRF service operations.
ADRF service operations may be used to store data or analytics in the ADRF, retrieve data or analytics from an ADRF, or delete data or analytics from an ADRF.
ADRF service operations may also be used to store ML Model(s) or ML Model address(es) in the ADRF, retrieve ML Model(s) from an ADRF or delete ML Model(s) from an ADRF.
Table 10.1-1: NF services provided by ADRF
Service Name
Service Operations
Operation Semantics
Example Consumer(s)
Nadrf_DataManagement
StorageRequest
Request / Response
DCCF, NWDAF, MFAF
StorageSubscriptionRequest
Request / Response
DCCF, NWDAF
StorageSubscriptionRemoval
Request / Response
DCCF, NWDAF
RetrievalRequest
Request / Response
DCCF, NWDAF
RetrievalSubscribe
Subscribe / Notify
DCCF, NWDAF
RetrievalUnsubscribe
DCCF, NWDAF
RetrievalNotify
DCCF, NWDAF
Delete
Request / Response
DCCF, NWDAF
Nadrf_MLModelManagement
StorageRequest
Request / Response
NWDAF
RetrievalRequest
Request / Response
NWDAF, LMF
Delete
Request / Response
NWDAF
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10.2 Nadrf_DataManagement service
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10.2.1 General
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Service Description: This service enables the consumer to store, retrieve and remove data or analytics from an ADRF.
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10.2.2 Nadrf_DataManagement_StorageRequest service operation
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Service operation name: Nadrf_DataManagement_StorageRequest
Description: The consumer NF uses this service operation to request the ADRF to store data or analytics. Data or analytics are provided to the ADRF in the request message.
Inputs, Required: Data with timestamp or Analytics with timestamp to be stored, Service operation, Analytics Specification or Data Specification.
"Service Operation" identifies the service used to obtain the data or analytics from a Data Source (e.g. Namf_EventExposure_Subscribe or Nnwdaf_AnalyticsSubscription_Subscribe).
"Analytics Specification or Data Specification" is the "Service Operation" specific required and optional input parameters that identify the data that was stored (e.g. Analytics ID(s) / Event ID (s), Target of Analytics Reporting or Target of Event Reporting, Analytics Filter or Event Filter, etc.). Service Operations and input parameters are defined in clause 7 for NWDAF and in clause 5.2 of TS 23.502 [3] for the other NFs.
Inputs, Optional: DataSetTag, DSC information, Storage Handling Information, Data Deletion Notification Endpoint (see clause 6.2B.2).
Outputs Required: Result Indication.
Outputs, Optional: Storage Transaction Identifier, DataSetTag(s), Storage Approach.
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10.2.3 Nadrf_DataManagement_StorageSubscriptionRequest service operation
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Service operation name: Nadrf_DataManagement_StorageSubscriptionRequest
Description: The consumer (NWDAF or DCCF) uses this service operation to request the ADRF to initiate a subscription for data or analytics (see clause 6.2B.3). Data or analytics provided in notifications as a result of the subsequent subscription by the ADRF are stored in the ADRF.
This service operation provides parameters needed by the ADRF to initiate the subscription (to a DCCF or NWDAF).
Inputs, Required: Service operation, Analytics Specification or Data Specification, Target NF (or Set) to subscribe to for notifications.
"Service Operation" identifies the service used to request data or analytics from a Data Source (e.g. Namf_EventExposure_Subscribe or Nnwdaf_AnalyticsSubscription_Subscribe)
"Analytics Specification or Data Specification" is the "Service Operation" specific required and optional input parameters that identify the data to be collected (e.g. Analytics ID(s) / Event ID (s), Target of Analytics Reporting or Target of Event Reporting, Analytics Filter or Event Filter, etc.). Service Operations and input parameters are defined in clause 7 for NWDAF and in clause 5.2 of TS 23.502 [3] for the other NFs.
"Target NF (or Set) to subscribe to for notifications" may be a DCCF or NWDAF that can provide the data or analytics
Inputs, Optional: Formatting Instructions, Processing Instructions, DataSetTag, Storage Handling Information, Data Deletion Notification Endpoint (see clause 6.2B.3).
Formatting Instructions and Processing Instructions are as defined in clause 5A.4.
Outputs Required: Transaction Reference ID, DataSetTag(s) (if any).
Outputs, Optional: Storage Approach.
NOTE: The parameters used in this service operation, including Formatting and Processing Instructions (if provided) are used by the ADRF when subscribing to a DCCF or NWDAF for Data or Analytics to be stored.
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10.2.4 Nadrf_DataManagement_StorageSubscriptionRemoval service operation
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Service operation name: Nadrf_DataManagement_StorageSubscriptionRemoval
Description: The consumer NF uses this service operation to request that the ADRF no longer subscribes to data or analytics it is collecting and storing.
Inputs, Required: one of the following:
- Transaction Reference ID provided in the Nadrf_DataManagement_StorageSubscriptionRequest Output; or
- DataSetTag.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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10.2.5 Nadrf_DataManagement_RetrievalRequest service operation
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Service operation name: Nadrf_DataManagement_RetrievalRequest
Description: The consumer NF uses this service operation to retrieve stored data or analytics from the ADRF. The Nadrf_DataManagement_RetrievalRequest response either contains the data or analytics, or provides instructions for fetching the data or analytics. The Nadrf_DataManagement_RetrievalRequest may be unsolicited (e.g. when the consumer itself has known "Storage Transaction Identifier") or sent in response to a Fetch Instructions received from the ADRF in an Nadrf_DataManagement_RetrievalNotify.
Inputs, Required: one of the following:
- Storage Transaction Identifier; or
- Fetch Correlation ID(s) if the RetrievalRequest is in response to a Fetch Instruction received from the ADRF in an Nadrf_DataManagement_RetrievalNotify; or
- DataSetTag.
Inputs, Optional: None.
Outputs Required: Result Indication.
Outputs, Optional: Data or Analytics, DSC information.
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10.2.6 Nadrf_DataManagement_RetrievalSubscribe service operation
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Service operation name: Nadrf_DataManagement_RetrievalSubscribe
Description: The consumer NF uses this service operation to retrieve stored data or analytics from the ADRF and to receive future notifications containing the corresponding data or analytics received by ADRF.
Inputs, Required: one of the following:
- Service Operation, Analytics Specification or Data Specification, Time Window; or
- DataSetTag.
"Service Operation" identifies the service used to obtain the data or analytics from a Data Source (e.g. Namf_EventExposure_Subscribe or Nnwdaf_AnalyticsSubscription_Subscribe).
"Analytics Specification or Data Specification" is the "Service Operation" specific required and optional input parameters that identify the data that was stored (e.g. Analytics ID(s) / Event ID (s), Target of Analytics Reporting or Target of Event Reporting, Analytics Filter or Event Filter, etc.). Service Operations and input parameters are defined in clause 7 for NWDAF and in clause 5.2 of TS 23.502 [3] for the other NFs.
"Time Window" is the start and stop time when the requested data or analytics was collected. If Time Window includes a period in the future, subsequent notifications containing the requested data or analytics received by the ADRF are sent to the notification endpoint.
"DataSetTag" indicates all data records stored or being collected and stored by ADRF which are associated to that attribute.
Inputs, Optional: Fetch flag.
Outputs Required: Result Indication.
Outputs, Optional: Subscription Correlation ID.
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10.2.7 Nadrf_DataManagement_RetrievalUnsubscribe service operation
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Service operation name: Nadrf_DataManagement_RetrievalUnsubscribe
Description: The consumer NF uses this service operation to request that the ADRF no longer sends data or analytics to a notification endpoint.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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10.2.8 Nadrf_DataManagement_RetrievalNotify service operation
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Service operation name: Nadrf_DataManagement_RetrievalNotify
Description: This service operation provides consumers with either data or analytics from an ADRF, or instructions to fetch the data or analytics from an ADRF. The notifications are provided to consumers that have subscribed using the Nadrf_DataManagement_RetrievalSubscribe service operation. Historical data or analytics may be retrieved from ADRF storage and data received in the future be sent when obtained by the ADRF. The ADRF may also notify the consumer instance when Data or Analytics is to be deleted
Inputs, Required: Notification Correlation Information, time stamp representing time when ADRF completed preparation of the requested data.
Inputs, Optional: Requested Data or Analytics, Fetch Instructions, Termination Request, DSC information, Data or Analytics Deletion Alert.
Fetch Instructions indicate whether the data or analytics are to be fetched from the ADRF by the Consumer. If the data or analytics are to be fetched, the fetch instructions include an address from which the data may be fetched, one or more Fetch Correlation IDs. and a deadline to fetch the data (Fetch Deadline).
Data or Analytics are fetched using the Nadrf_DataManagement_RetrievalRequest service operation.
Termination Request indicates that the ADRF requests to terminate the subscription, i.e. ADRF will not provide further notifications related to this subscription, e.g. when all data or analytics requested by the consumer have been provided to the consumer.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Data or Analytics Retrieval Indication.
The Data or Analytics Retrieval Indication may be sent if the notification contains a Data or Analytics Deletion Alert. The Data or Analytics Retrieval Indication indicates if the consumer will retrieve stored data or analytics prior to deletion (see clause 6.2B.3).
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10.2.9 Nadrf_DataManagement_Delete
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Service operation name: Nadrf_DataManagement_Delete
Description: This service operation instructs the ADRF to delete stored data.
Inputs, Required: One of the following:
- Storage Transaction Identifier;
- Service Operation, Analytics Specification or Data Specification and Time Window; or
- DataSetTag.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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10.3 Nadrf_MLModelManagement service
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10.3.1 General
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Service Description: This service enables the consumer to store and update, retrieve and remove ML Model(s) or ML Model address(es) from an ADRF.
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10.3.2 Nadrf_MLModelManagement_StorageRequest service operation
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Service operation name: Nadrf_MLModelManagement_StorageRequest
Description: The consumer NF uses this service operation to request the ADRF to store or update ML Model(s). ML Model(s) or ML Model address(es) stored in NWDAF containing MTLF are provided to the ADRF in the request message.
Inputs, Required: NF instance ID of the NWDAF containing MTLF and set of:
- (Updated) ML Model(s); or
- the tuple (unique ML Model identifier and address of (updated) ML Model file and (updated) Storage size required for each of the ML Models).
NOTE 1: The ADRF can download ML Model file using the ML Model addresses provided by the NWDAF containing MTLF. How the ADRF locally stores the ML Model is left for implementation.
Inputs, Optional: Allowed NF instance list for the ML Model identifier, Storage Transaction Identifier.
If Storage Transaction Identifier is included in the input, then ADRF updates the ML Model(s) corresponding to the Storage Transaction Identifier with the updated ML model(s) or updated ML Model file address(es) provided by consumer NF. A new Storage Transaction Identifier may be generated and sent to consumer NF by ADRF after the ML Model update process.
Outputs Required:
- ML Model storage or ML Model Update Result Indication;
- [Conditional] one or more tuples of unique ML Model identifier and (updated) ML Model address of Model file stored in ADRF.
NOTE 2: The definition of ML file address such as e.g. name, location and access method is up to stage 3.
Outputs, Optional: Storage Transaction Identifier.
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10.3.3 Nadrf_MLModelManagement_Delete service operation
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Service operation name: Nadrf_MLModelManagement_Delete
Description: This service operation instructs the ADRF to delete stored ML Model file(s) or ML Model address(es).
Inputs, Required:
- Storage Transaction Identifier; or
- one or more unique ML Model identifier(s).
When a Storage Transaction Identifier is given, ADRF shall delete all the models that stored in the corresponding storage transaction.
Inputs, Optional: None.
Outputs, Required: One of the following:
- Operation execution result indication (i.e. ML Model deleted, ML Model not found, ML Model found but not deleted), if for all of the involved ML Model(s) have the same execution result.
- One or more tuples (each includes the unique ML Model identifier and corresponding operation execution result indication).
Outputs, Optional: None.
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10.3.4 Nadrf_MLModelManagement_RetrievalRequest service operation
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Service operation name: Nadrf_MLModelManagement_RetrievalRequest
Description: The consumer NF uses this service operation to request the ADRF to get the ML Model(s) stored in ADRF.
Inputs, Required:
- Storage Transaction Identifier; or
- one or more tuples of unique ML Model identifier(s).
Inputs, Optional: None.
Outputs Required: Result Indication.
- [Conditional] one or more tuples of unique ML Model identifiers and ML Model address of Model file stored in ADRF.
NOTE: The definition of ML file address such as e.g. name, location and access method is up to stage 3.
Outputs, Optional: None.
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11 AF Services to support network data analytics
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11.1 General
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Table 11.1-1 illustrates the AF Services to support network data analytics.
Table 11.1-1: NF services provided by AF to support network data analytics
Service Name
Service Operations
Operation Semantics
Example Consumer(s)
Naf_VFLTraining
Subscribe
Subscribe / Notify
NWDAF, NEF
Unsubscribe
NWDAF, NEF
Notify
NWDAF, NEF
Request
Request / Response
NWDAF, NEF
Naf_VFLInference
Subscribe
Subscribe / Notify
NWDAF
Unsubscribe
NWDAF
Notify
NWDAF
Request
Request / Response
NWDAF
Naf_Inference
Subscribe
Subscribe / Notify
NWDAF, NEF
Unsubscribe
NWDAF, NEF
Notify
NWDAF, NEF
Request
Request / Response
NWDAF, NEF
Naf_Training
Subscribe
Subscribe / Notify
NWDAF, NEF
Unsubscribe
NWDAF, NEF
Notify
NWDAF, NEF
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11.2 Naf_VFLTraining Service
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11.2.1 General
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Service Description: This service is provided by an AF acting as VFL client and enables an NWDAF VFL server or an NEF acting on its behalf as consumer to request the AF to participate in VFL model training as VFL client and train a local model as defined in clause 6.2H.2.3.
For VFL, this service may also be used by the consumer (i.e. VFL Server) to prepare the VFL training as described in in clause 6.2H.2.2.
Editor´s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed.
Editor´s note: It is ffs whether this service is also provided by an AF acting as VFL server and enables a consumer to request VFL Training.
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11.2.2 Naf_VFLTraining_Subscribe service operation
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Service operation name: Naf_VFLTraining_Subscribe
Description: Subscribes to VFL ML Model training with AF as VFL client.
Inputs, Required:
For new subscription:
- Analytics ID as defined in Table 7.1-2.
- Notification Target Address (+ Notification Correlation ID).
When updating a subscription:
- Subscription Correlation ID
Inputs, Optional:
- Analytics filter information.
- maximum response time.
- intermediate training information.
- VFL Correlation ID is added by server at VFL training process start.
- VFL Interoperability Information.
- Feature ID.
Outputs Required: When the request is accepted: Subscription Correlation ID (required for management of this subscription). When the request is not accepted, an error response with cause code.
NOTE: The detail reasons in the cause code are up to Stage 3.
Outputs, Optional:
- client intermediate training result
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11.2.3 Naf_VFLTraining_Unsubscribe service operation
|
Service operation name: Naf_VFLTraining_Unsubscribe
Description: Terminate AF VFL ML Model training.
Inputs, Required: Subscription Correlation ID.
Inputs, Optional: None.
Outputs, Required: Operation execution result indication.
Outputs, Optional: Cause code
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11.2.4 Naf_VFLTraining_Notify service operation
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Service operation name: Naf_VFLTraining_Notify
Description: AF notifies the consumer of client intermediate training result of the local ML mode (for VFL).
Inputs, Required:
- Notification Correlation Information.
Inputs, Optional:
- Client intermediate training result.
Outputs, Required: Operation execution result indication.
Outputs, Optional: None.
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