[{"name":"SP-230987","title":"New SID for Study on application layer support for AI\/ML services.","source":"SA WG6","contact":"Bernt Mattsson","contact-id":14585,"tdoctype":"SID new","for":"Approval","abstract":"Objective: The SA WG6 objective of the study is to enable support for AI\/ML services at application enablement layer, which include the following: 1) Analyse Rel-18 and Rel-19 requirements in 3GPP TS 22.261 related to AI\/ML model distribution, transfer, training and further identify key issues, develop corresponding architectural requirements and potential enhancements to the application layer architecture, taking into consideration existing 5GC capabilities to assist with application AI\/ML operations described in Re1-18 AIMLsys (TS 23.501 and TS 23.502). 2) Study architectural and functional implications on existing SA WG6 application enablers (e.g. ADAES and other SEAL services, EDGEAPP) for supporting AI\/ML lifecycle operations (e.g. operations including the data collection, data preparation, training\/inference\/federated learning for the ML models to be used for ADAE layer analytics). NOTE: For the UE data collection aspects, this study will rely upon EVEX framework specifications in TS 26.531 and TS 26.532. 3) Identify potential solutions, including the information flows and developer-friendly application enablement APIs, where necessary to satisfy the architectural requirements and enhancements identified in bullets 1) and2). 4) Investigate possible impacts of application layer support for AI\/ML services for different deployments and business models.","secretary_remarks":"Revised to SP-231157.","agenda_item_sort_order":60,"ainumber":"6.4.6","ainame":"SA WG6 New Release 19 Study Item Descriptions","tdoc_agenda_sort_order":11130,"status":"revised","reservation_date":"2023-09-04 08:47:18","uploaded":"2023-09-06 16:10:39","revisionof":"","revisedto":"SP-231157","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/TSG_SA\/TSG_SA\/TSGs_101_Bangalore_2023-09\/Docs\/SP-230987.zip","group":"SP","meeting":"SP-101","year":2023,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"SP-231157","title":"New SID for Study on application layer support for AI\/ML services.","source":"SA WG6","contact":"Bernt Mattsson","contact-id":14585,"tdoctype":"SID new","for":"Approval","abstract":"Objective: The SA WG6 objective of the study is to enable support for AI\/ML services at application enablement layer, which include the following: 1) Analyse Rel-18 and Rel-19 requirements in 3GPP TS 22.261 related to AI\/ML model distribution, transfer, training and further identify key issues, develop corresponding architectural requirements and potential enhancements to the application layer architecture, taking into consideration existing 5GC capabilities to assist with application AI\/ML operations described in Re1-18 AIMLsys (TS 23.501 and TS 23.502). 2) Study architectural and functional implications on existing SA WG6 application enablers (e.g. ADAES and other SEAL services, EDGEAPP) for supporting AI\/ML lifecycle operations (e.g. operations including the data collection, data preparation, training\/inference\/federated learning for the ML models to be used for ADAE layer analytics). NOTE: For the UE data collection aspects, this study will rely upon EVEX framework specifications in TS 26.531 and TS 26.532. 3) Identify potential solutions, including the information flows and developer-friendly application enablement APIs, where necessary to satisfy the architectural requirements and enhancements identified in bullets 1) and2). 4) Investigate possible impacts of application layer support for AI\/ML services for different deployments and business models.","secretary_remarks":"Revision of SP-230987. Revised to SP-231182.","agenda_item_sort_order":60,"ainumber":"6.4.6","ainame":"SA WG6 New Release 19 Study Item Descriptions","tdoc_agenda_sort_order":11140,"status":"revised","reservation_date":"2023-09-13 05:51:23","uploaded":"2023-09-15 11:31:04","revisionof":"SP-230987","revisedto":"SP-231182","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/TSG_SA\/TSG_SA\/TSGs_101_Bangalore_2023-09\/Docs\/SP-231157.zip","group":"SP","meeting":"SP-101","year":2023,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"SP-231182","title":"New SID for Study on application layer support for AI\/ML services.","source":"SA WG6","contact":"Bernt Mattsson","contact-id":14585,"tdoctype":"SID new","for":"Approval","abstract":"Objective: The SA WG6 objective of the study is to enable support for AI\/ML services at application enablement layer, which include the following: 1) Analyse Rel-18 and Rel-19 requirements in 3GPP TS 22.261 related to AI\/ML model distribution, transfer, training and further identify key issues, develop corresponding architectural requirements and potential enhancements to the application layer architecture, taking into consideration existing 5GC capabilities to assist with application AI\/ML operations described in Re1-18 AIMLsys (TS 23.501 and TS 23.502). 2) Study architectural and functional implications on existing SA WG6 application enablers (e.g. ADAES and other SEAL services, EDGEAPP) for supporting AI\/ML lifecycle operations (e.g. operations including the data collection, data preparation, training\/inference\/federated learning for the ML models to be used for ADAE layer analytics). NOTE: For the UE data collection aspects, this study will rely upon EVEX framework specifications in TS 26.531 and TS 26.532. 3) Identify potential solutions, including the information flows and developer-friendly application enablement APIs, where necessary to satisfy the architectural requirements and enhancements identified in bullets 1) and2). 4) Investigate possible impacts of application layer support for AI\/ML services for different deployments and business models.","secretary_remarks":"Revision of SP-231157. This SID NEW was approved","agenda_item_sort_order":60,"ainumber":"6.4.6","ainame":"SA WG6 New Release 19 Study Item Descriptions","tdoc_agenda_sort_order":11150,"status":"approved","reservation_date":"2023-09-14 08:15:29","uploaded":"2023-09-15 11:31:05","revisionof":"SP-231157","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/TSG_SA\/TSG_SA\/TSGs_101_Bangalore_2023-09\/Docs\/SP-231182.zip","group":"SP","meeting":"SP-101","year":2023,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]