ETSI TS 123 288 V19.6.0 (2026-03)

5G; Architecture enhancements for 5G System (5GS) to support network data analytics services (3GPP TS 23.288 version 19.6.0 Release 19)

RTS/TSGS-0223288vj60

General Information

• Status: Not Published
• Technical Committee: 3GPP SA 2 - Architecture
• Current Stage: 8 - Draft receipt by ETSI Secretariat
• Completion Date: 13-Mar-2026

Standards Content (Sample)

TECHNICAL SPECIFICATION
5G;
Architecture enhancements for 5G System (5GS)
to support network data analytics services
(3GPP TS 23.288 version 19.6.0 Release 19)

3GPP TS 23.288 version 19.6.0 Release 19 1 ETSI TS 123 288 V19.6.0 (2026-03)

Reference
RTS/TSGS-0223288vj60
Keywords
5G
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ETSI
3GPP TS 23.288 version 19.6.0 Release 19 2 ETSI TS 123 288 V19.6.0 (2026-03)
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3GPP TS 23.288 version 19.6.0 Release 19 3 ETSI TS 123 288 V19.6.0 (2026-03)
Contents
Intellectual Property Rights . 2
Legal Notice . 2
Modal verbs terminology . 2
Foreword . 12
1 Scope . 13
2 References . 13
3 Definitions and abbreviations . 15
3.1 Definitions . 15
3.2 Abbreviations . 15
4 Reference Architecture for Data Analytics . 16
4.1 General . 16
4.2 Non-roaming architecture . 16
4.2.0 General . 16
4.2.1 Analytics Data Repository Function . 18
4.3 Roaming architecture . 19
5 Network Data Analytics Functional Description . 20
5.1 General . 20
5.2 NWDAF Discovery and Selection . 21
5.3 Horizontal Federated Learning (FL) among multiple NWDAFs . 24
5.4 Vertical Federated Learning (VFL) . 25
5.5 AF Discovery and Selection for VFL . 26
5A Data Collection Coordination and Delivery Functional Description . 27
5A.1 General . 27
5A.2 Data Collection Coordination . 27
5A.3 Data Delivery . 29
5A.3.0 General . 29
5A.3.1 Data Delivery via the DCCF or NWDAF . 29
5A.3.2 Data Delivery via a Messaging Framework . 30
5A.4 Data Formatting and Processing . 31
5A.5 Historical Data Handling . 33
5B Analytics Data Repository Functional Description . 34
5B.1 General . 34
5C Analytics/ML Model Accuracy Monitoring Functional Description . 35
5C.1 General . 35
6 Procedures to Support Network Data Analytics . 36
6.0 General . 36
6.1 Procedures for analytics exposure . 37
6.1.1 Analytics Subscribe/Unsubscribe . 37
6.1.1.1 Analytics subscribe/unsubscribe by NWDAF service consumer . 37
6.1.1.2 Analytics subscribe/unsubscribe by AFs via NEF . 38
6.1.2 Analytics Request . 39
6.1.2.1 Analytics request by NWDAF service consumer . 39
6.1.2.2 Analytics request by AFs via NEF . 40
6.1.3 Contents of Analytics Exposure. 41
6.1.4 Analytics Exposure using DCCF . 45
6.1.4.1 General . 45
6.1.4.2 Analytics Exposure via DCCF . 46
6.1.4.3 Historical Analytics Exposure via DCCF . 47
6.1.4.4 Analytics Exposure via Messaging Framework . 49
6.1.4.5 Historical Analytics Exposure via Messaging Framework . 51
6.1.5 Analytics Exposure in Roaming Case . 53
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6.1.5.1 General . 53
6.1.5.2 Analytics Exposure from HPLMN to VPLMN . 54
6.1.5.3 Analytics Exposure from VPLMN to HPLMN . 56
6.1.5.4 Contents of Analytics Exposure in roaming case . 58
6.1A Analytics aggregation from multiple NWDAFs . 60
6.1A.1 General . 60
6.1A.2 Analytics Aggregation . 60
6.1A.3 Procedure for analytics aggregation . 61
6.1A.3.1 Procedure for analytics aggregation with Provision of Area of Interest. 61
6.1A.3.2 Procedure for Analytics Aggregation without Provision of Area of Interest . 63
6.1B Transfer of analytics context and analytics subscription . 65
6.1B.1 General . 65
6.1B.2 Analytics Transfer Procedures . 66
6.1B.2.1 Analytics context transfer initiated by target NWDAF selected by the NWDAF service consumer . 66
6.1B.2.2 Analytics Subscription Transfer initiated by source NWDAF . 67
6.1B.2.3 Prepared analytics subscription transfer . 70
6.1B.3 Analytics Context Transfer . 73
6.1B.4 Contents of Analytics Context . 74
6.1C NWDAF Registration/Deregistration in UDM . 76
6.1C.1 General . 76
6.1C.2 NWDAF Registration in UDM . 76
6.1C.3 NWDAF De-registration from UDM . 76
6.2 Procedures for Data Collection . 77
6.2.1 General . 77
6.2.2 Data Collection from NFs . 79
6.2.2.1 General . 79
6.2.2.2 Procedure for Data Collection from NFs . 82
6.2.2.3 Procedure for Data Collection from AF via NEF . 84
6.2.2.4 Procedure for Data Collection from NRF . 85
6.2.2.5 Usage of Exposure framework by the NWDAF for Data Collection . 85
6.2.3 Data Collection from OAM . 86
6.2.3.1 General . 86
6.2.3.2 Procedure for data collection from OAM. 87
6.2.4 Correlation between network data and service data . 87
6.2.5 Time coordination across multiple NWDAF instances . 88
6.2.5.1 General . 88
6.2.5.2 Procedure for time coordination across multiple NWDAFs . 89
6.2.6 Enhanced Procedures for Data Collection . 90
6.2.6.0 General . 90
6.2.6.1 Bulked Data Collection . 90
6.2.6.1.0 General . 90
6.2.6.1.1 Services for Bulked Data Collection . 91
6.2.6.2 Procedure for Data Collection from NWDAF. 92
6.2.6.3 Data Collection using DCCF. 95
6.2.6.3.1 General . 95
6.2.6.3.2 Data Collection via DCCF . 95
6.2.6.3.3 Historical Data Collection via DCCF . 98
6.2.6.3.4 Data Collection via Messaging Framework. 100
6.2.6.3.5 Historical Data Collection via Messaging Framework . 102
6.2.6.3.6 Data collection profile registration . 105
6.2.6.3.7 DCCF (re-)selection initiated by consumer . 106
6.2.6.3.8 DCCF and MFAF relocation initiated by DCCF . 107
6.2.7 Data Collection with Event Muting Mechanism . 109
6.2.7.1 General . 109
6.2.7.2 Procedure for Data Collection with Event Muting Mechanism . 109
6.2.8 Data Collection from the UE Application . 112
6.2.8.1 General . 112
6.2.8.2 Procedure for data collection from the UE Application . 113
6.2.8.2.1 Connection establishment between UE Application and AF . 113
6.2.8.2.2 AF registration and discovery . 113
6.2.8.2.3 Data Collection Procedure from UE . 114
6.2.8.2.4 Correlation between UE data collection and the NWDAF data request . 115
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6.2.8.2.4a Void . 120
6.2.9 User consent for analytics . 120
6.2.10 Data collection by H-RE-NWDAF from V-RE-NWDAF for outbound roaming users . 121
6.2.11 Data collection by V-RE-NWDAF from H-RE-NWDAF for inbound roaming users . 122
6.2.12 Data Collection using LCS . 123
6.2.12.1 General . 123
6.2.12.2 Procedure for data collection using LCS . 123
6.2.13 Rating untrusted AF data sources . 124
6.2.13.1 General . 124
6.2.13.2 Procedure for rating untrusted AF data sources . 124
6.2.14 Analytics Collection from MDAF . 126
6.2.14.1 General . 126
6.2.14.2 Procedure for analytics collection from MDAF . 127
6.2A Procedure for ML Model Provisioning . 128
6.2A.0 General . 128
6.2A.1 ML Model Subscribe/Unsubscribe . 128
6.2A.2 Contents of ML Model Provisioning . 129
6.2A.3 ML Model request . 132
6.2B Analytics Data and ML Model Repository procedures . 133
6.2B.1 General . 133
6.2B.2 Historical Data and Analytics storage . 133
6.2B.3 Historical Data and Analytics Storage via Notifications . 135
6.2B.4 Data removal from an ADRF . 139
6.2B.5 ML Model Storage in ADRF . 139
6.2B.6 ML Model removal from ADRF . 140
6.2B.7 ML Model retrieval from ADRF . 140
6.2C Horizontal Federated Learning among Multiple NWDAFs . 142
6.2C.1 General . 142
6.2C.2 Procedures. 142
6.2C.2.1 Registration and Discovery procedure for Federated Learning . 142
6.2C.2.2 General procedure for Federated Learning among Multiple NWDAF Instances . 144
6.2C.2.3 Procedures for Maintaining Federated Learning Processes . 146
6.2D AnLF Analytics Accuracy Monitoring Procedures . 148
6.2D.1 General . 148
6.2D.2 Procedures for Analytics Accuracy Information Subscription . 148
6.2D.3 Procedures for Analytics Accuracy Information Request . 151
6.2E MTLF-based ML Model Accuracy Monitoring . 152
6.2E.1 General . 152
6.2E.2 Procedure for MTLF-based ML Model Accuracy Monitoring . 152
6.2E.3 Procedure for AnLF-assisted MTLF ML Models Accuracy Monitoring . 155
6.2E.3.1 General . 155
6.2E.3.2 Procedures for registering the monitoring of the analytics accuracy of an ML Model . 155
6.2E.3.3 Procedures for monitoring the analytics accuracy of an ML Model . 157
6.2E.4 Procedure for MTLF-based AI/ML model performance monitoring for LMF-based AI/ML

Positioning . 159
6.2F Procedure for ML Model Training . 161
6.2F.1 ML Model Training Subscribe/Unsubscribe . 161
6.2F.2 Contents of ML Model Training . 162
6.2F.3 ML Model Training Information Request . 164
6.2G Void . 165
6.2H Vertical Federated Learning among NWDAFs and AFs . 165
6.2H.1 General . 165
6.2H.2 Procedures. 166
6.2H.2.1 Registration and Discovery procedure for Vertical Federated Learning . 166
6.2H.2.1.1 Registration and Discovery procedure for Vertical Federated Learning when NWDAF or
trusted AF is acting as the VFL server . 166
6.2H.2.1.2 Registration and Discovery procedure for Vertical Federated Learning when untrusted AF is
acting as the VFL server . 167
6.2H.2.2 Preparation procedure for Vertical Federated Learning . 169
6.2H.2.2.0 General . 169
6.2H.2.2.1 Preparation procedure for Vertical Federated Learning when NWDAF/trusted AF is the VFL
Server . 170
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6.2H.2.2.2 Preparation procedure for Vertical Federated Learning when untrusted AF is the VFL server . 171
6.2H.2.3 Training Procedure for Vertical Federated Learning . 173
6.2H.2.3.1 Training Procedure for Vertical Federated Learning when NWDAF or trusted AF is acting as
VFL server . 173
6.2H.2.3.2 Training Procedure for Vertical Federated Learning untrusted AF is acting as VFL server . 179
6.2H.2.4 Inference procedure for vertical federated learning . 181
6.2H.2.4.1 Inference procedure for vertical federated learning when NWDAF or Trusted AF is acting as
VFL server . 181
6.2H.2.4.2 Inference procedure for vertical federated learning when untrusted AF is acting as VFL
server . 184
6.2H.2.4.3 Contents of VFL Inference service . 185
6.2H.3 Contents of ML Model VFL Training services for Vertical Federated Learning . 186
6.2H.4 Contents of ML Model Training services for Vertical Federated Learning . 188
6.3 Slice load level related network data analytics . 189
6.3.1 General . 189
6.3.2 Void . 190
6.3.2A Input data . 190
6.3.3 Void . 191
6.3.3A Output analytics . 191
6.3.4 Procedures. 194
6.4 Observed Service Experience related network data analytics . 195
6.4.1 General . 195
6.4.2 Input Data . 200
6.4.3 Output Analytics . 204
6.4.4 Procedures to request Service Experience for an Application . 207
6.4.5 Procedures to request Service Experience for a Network Slice . 209
6.4.6 Procedures to request Service Experience for a UE . 209
6.5 NF load analytics . 210
6.5.1 General . 210
6.5.2 Input data . 211
6.5.3 Output analytics . 213
6.5.4 Procedures. 214
6.6 Network Performance Analytics . 216
6.6.1 General . 216
6.6.2 Input Data . 217
6.6.3 Output Analytics . 217
6.6.4 Procedures. 219
6.7 UE related analytics. 220
6.7.1 General . 220
6.7.2 UE mobility analytics . 220
6.7.2.1 General . 220
6.7.2.2 Input Data . 221
6.7.2.3 Output Analytics . 222
6.7.2.4 Procedures . 224
6.7.3 UE Communication Analytics . 226
6.7.3.1 General . 226
6.7.3.2 Input Data . 227
6.7.3.3 Output Analytics . 228
6.7.3.4 Procedures . 229
6.7.4 Expected UE behavioural parameters related network data analytics . 231
6.7.4.1 General . 231
6.7.4.2 Input Data . 232
6.7.4.3 Output Analytics . 232
6.7.4.4 Procedures . 233
6.7.4.4.1 NWDAF-assisted expected UE behavioural analytics . 233
6.7.5 Abnormal behaviour related network data analytics . 234
6.7.5.1 General . 234
6.7.5.2 Input Data . 235
6.7.5.3 Output Analytics . 236
6.7.5.4 Procedure . 238
6.8 User Data Congestion Analytics . 239
6.8.1 General . 239
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6.8.2 Input data . 240
6.8.3 Output analytics . 241
6.8.4 Procedures. 243
6.8.4.1 Procedure for one-time or continuous reporting of analytics for user data congestion in a
geographic area . 243
6.8.4.2 Procedure for one-time or continuous reporting of analytics for user data congestion for a
specific UE . 245
6.9 QoS Sustainability Analytics . 248
6.9.1 General . 248
6.9.2 Input data . 250
6.9.3 Output analytics . 251
6.9.4 Procedures. 252
6.9.4.1 Procedure for QoS Sustainability in a coarse granularity area . 252
6.9.4.2 Procedure for QoS Sustainability in a fine granularity area . 253
6.10 Dispersion Analytics .
...