[{"name":"SP-251466","title":"Presentation of TR 23.700-51 V2.0.0 for Approval","source":"SA WG6","contact":"Bernt Mattsson","contact-id":14585,"tdoctype":"draft TR","for":"Approval","abstract":"Abstract of document: 3GPP TR 23.700-51 is a technical report which focuses on studying enhancements in the application enabling layer to support XR services, including the QoS differentiation and policy control for non-3GPP tethered devices etc. The TR is aligned with the objectives of FS_XRM_Ph3_APP. 5 key issues, 10 solutions and the corresponding overall evaluation have been captured. The TR includes details on the following aspects: a. Transmission enhancement in application layer b. Analytics and provisioning of XR traffic characteristics c. Enhancement to utilize the XR related network information exposure d. Support QoS differentiation and policy control for non-3GPP tethered devices e. traffic identification and differentiated QoS for multiplexed media flows Changes since last presentation: Changes since SA Plenary Meeting #109, including: 1. solution update for sol #1 Policy enforcement notification 2. new solutions for KI#1: Transmission enhancement in application layer 3. new solution for KI #4 Support QoS differentiation and policy control for non-3GPP tethered devices; 4. new solution for KI#5 traffic identification and differentiated QoS for multiplexed media flows; 5. overall evaluation and conclusion for KI#1 Transmission enhancement in application layer, KI#2 Analytics and provisioning of XR traffic characteristics, KI#3 Enhancement to utilize the XR related network information exposure, KI#4 Support QoS differentiation and policy control for non-3GPP tethered devices, and KI#5 traffic identification and differentiated QoS for multiplexed media flows. Outstanding Issues: No outstanding issues have been identified. Contentious Issues: No contentious issues have been identified.","secretary_remarks":"This DRAFT TR was approved","agenda_item_sort_order":91,"ainumber":"7.2.6","ainame":"SA WG6 Specifications for Approval","tdoc_agenda_sort_order":12080,"status":"approved","reservation_date":"2025-12-01 02:51:08","uploaded":"2025-12-02 21:45:04","revisionof":"","revisedto":"","release":"Rel-20","crspec":"23.700-51","crspecversion":"2.0.0","workitem":[{"winame":"FS_XRM_Ph3_APP"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/TSG_SA\/TSGS_110_Baltimore_2025-12\/Docs\/SP-251466.zip","group":"SP","meeting":"SP-110","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"SP-251468","title":"Presentation of TR 23.700-83 V2.0.0 for Approval","source":"SA WG6","contact":"Bernt Mattsson","contact-id":14585,"tdoctype":"draft TR","for":"Approval","abstract":"Abstract of document: TR 23.700-83 is a technical report which focuses on studying necessary enhancements in SEAL AIMLE functionality (as specified in TS 23.482) to assist the VAL layer (e.g. AI\/ML apps at server and UE side) in operations related ML model lifecycle (e.g. ML model distribution\/ training\/ inference), taking into consideration system architecture capabilities developed by SA WG2 to assist AI\/ML services. The TR is aligned with the objectives of FS_AIML_App_Ph2, and includes details on the following aspects: 1. Architectural assumptions and principles as well as architecture enhancements for AI\/ML enablement over 3GPP networks. 2. Investigation of key issues and solutions, covering the following functionalities: i. Support for ML model inference ii. Support enhancements for evaluation and determination of ML model performance and correctness within the AIML Enablement Layer iii. AIMLE Mobility Support for Cross-PLMN and Roaming Scenarios iv. Support for Split AI\/ML Operations Involving Multiple AIMLE clients, edge AIMLE servers and central AIMLE servers v. Support for AI Inference Exposure vi. Support for Architecture and Functions Enhancement on diverse AIMLE deployments scenarios vii. Support for VFL sample alignment across VAL servers viii. Support for AI Inference service performance management and feedback 3. Deployment scenarios and business models based on the new solutions and architecture enhancements. 4. Overall evaluation and conclusions of the study. Changes since last presentation: Finalization of the solutions, architecture enhancements and addition of deployment scenarios, business models, overall evaluation and conclusions. Outstanding Issues: Evaluations and Conclusions of key issues and solutions are progressed but not finalized yet. Contentious Issues: No contentious issues have been identified.","secretary_remarks":"This DRAFT TR was approved","agenda_item_sort_order":91,"ainumber":"7.2.6","ainame":"SA WG6 Specifications for Approval","tdoc_agenda_sort_order":12090,"status":"approved","reservation_date":"2025-12-01 02:51:10","uploaded":"2025-12-02 21:46:42","revisionof":"","revisedto":"","release":"Rel-20","crspec":"23.700-83","crspecversion":"2.0.0","workitem":[{"winame":"FS_AIML_App_Ph2"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/TSG_SA\/TSGS_110_Baltimore_2025-12\/Docs\/SP-251468.zip","group":"SP","meeting":"SP-110","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0}]