Please enter the search related information in the fields below. Partial information works, e.g. "SP-21
" in the "tdoc" field lists all TSG SA documents from 2021. Regular expressions mostly work in all fields (e.g. "2[34].501
" in the "Spec" field lists all documents related to 23.501 and 24.501. Capitalization is disregarded, i.e. "3GPP
" gives the same results as "3gpp
".
Download results in JSON format
tdoc | Title | Type / Revs | Source | Spec / CR | S/WID | Release | Meeting | Status | Links |
---|---|---|---|---|---|---|---|---|---|
S2-2210269 | Updates for Model Provisioning for Analytics of Group UEs |
CR revised to S2-2300110 |
Ericsson, InterDigital Inc. | 23.288 17.6.0 CR#556 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210274 | Monitoring of accuracy of ML models |
CR revised to S2-2300111 |
Ericsson | 23.288 17.6.0 CR#557 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210275 | NWDAF Interoperability Indicator in NF Profile | CR | Ericsson | 23.501 17.6.0 CR#3756 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
merged | [WTS] [JSN] |
S2-2210276 | Adding Interoperability Indicator for ML model sharing |
CR revised to S2-2210967 |
Ericsson | 23.288 17.6.0 CR#558 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210277 | Multiple ML models for an analytics ID |
CR revised to S2-2210960 |
Ericsson, Vivo | 23.288 17.6.0 CR#559 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210294 | Input data for enhanced QoS sustainability analytics | CR | Tencent, Tencent Cloud | 23.288 17.6.0 CR#560 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210300 | Use case context |
CR revised to S2-2210962 |
Orange, KDDI, ETRI, Lenovo | 23.288 17.6.0 CR#561 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210318 | New analytic on PFD determination | CR | Ericsson | 23.288 17.6.0 CR#562 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
merged | [WTS] [JSN] |
S2-2210335 | Add new paramters to Redundant Transmission Experience analytics |
CR revised to S2-2210970 |
Futurewei | 23.288 17.6.0 CR#563 catB | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210346 | Extension of NWDAF registration information to reflect new accuracy checking capability |
CR revised to S2-2300307 |
Huawei, HiSilicon | 23.501 17.6.0 CR#3764 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210347 | Extension of NRF services for NWDAF registration to reflect new accuracy checking capability |
CR revised to S2-2300308 |
Huawei, HiSilicon | 23.502 17.6.0 CR#3606 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210348 | Adding Accuracy Checking Capability to NWDAF Architecture |
CR revised to S2-2300309 |
Huawei, HiSilicon | 23.288 17.6.0 CR#564 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210351 | Improving the Correctness of Service Experience Predictions with Contribution Weights |
CR revised to S2-2210961 |
InterDigital Inc., Intel, Vivo | 23.288 17.6.0 CR#565 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210392 | PCF-driven NWDAF-assisted URSP | CR | ETRI | 23.503 17.6.0 CR#766 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210393 | AF-driven NWDAF-assisted URSP |
CR revised to S2-2210971 |
ETRI | 23.502 17.6.0 CR#3609 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210430 | Enhancements on QoS Sustainability analytics | CR | LG Electronics | 23.288 17.6.0 CR#567 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210431 | Discovery and Selection of the NWDAF Supporting Federated Learning in 5GC |
CR revised to S2-2211167 |
LG Electronics | 23.501 17.6.0 CR#3772 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210460 | NWDAF- assisted URSPs | CR | Vivo | 23.288 17.6.0 CR#568 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210461 | NWDAF- assisted URSPs during UE policy association establishment/modification | CR | Vivo | 23.502 17.6.0 CR#3613 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210462 | NWDAF- assisted URSPs introduced in policy decision |
CR revised to S2-2210972 |
Vivo | 23.503 17.6.0 CR#769 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210495 | Enhancement on OSE for NWDAF assisting PCF in making URSP decisions | CR | China Telecom | 23.288 17.6.0 CR#569 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2210499 | Support of NWDAF assisting PCF in making URSP decisions |
CR revised to S2-2211165 |
China Telecom | 23.503 17.6.0 CR#772 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
merged | [WTS] [JSN] |
S2-2210514 | PCF usage using Redundant Transmission Experience analytics. | CR | LG Electronics | 23.288 17.6.0 CR#570 catC | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210521 | Enhance trained ML model sharing | CR | Vivo | 23.288 17.6.0 CR#571 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
merged | [WTS] [JSN] |
S2-2210522 | Enhance NRF services for trained ML model sharing |
CR revised to S2-2210969 |
Vivo | 23.502 17.6.0 CR#3621 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210523 | NWDAF discovery principle enhancements for enhanced model sharing |
CR revised to S2-2210968 |
Vivo | 23.501 17.6.0 CR#3783 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210524 | Enhance NWDAF to enable Federated Learning | CR | Vivo | 23.288 17.6.0 CR#572 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210525 | NRF service enhancements for Federated Learning |
CR revised to S2-2211168 |
Vivo | 23.502 17.6.0 CR#3622 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210526 | NWDAF discovery principle enhancements for Federated Learning | CR | Vivo | 23.501 17.6.0 CR#3784 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210555 | KI#1: Procedures to monitor ML model accuracy |
CR revised to S2-2300786 |
ETRI | 23.288 17.6.0 CR#573 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210557 | KI#8: Addition of Nnwdaf_MLModelTraining service |
CR revised to S2-2300788 |
ETRI | 23.288 17.6.0 CR#574 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210627 | PFDF consume Application Detection analytics from NWDAF |
CR revised to S2-2210964 |
Huawei, HiSilicon | 23.503 17.6.0 CR#783 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210628 | QoS sustainability analytics enhancement |
CR revised to S2-2210973 |
Huawei, HiSilicon, China Mobile | 23.288 17.6.0 CR#576 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210629 | UE Mobility analytics enhancement | CR | Huawei, HiSilicon, Toyota | 23.288 17.6.0 CR#577 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210630 | Procedure for for analytics collection from MDAF | CR | Huawei, HiSilicon | 23.288 17.6.0 CR#578 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210703 | NWDAF-assisted decision of E2E Redundant Transmission | CR | Huawei, HiSilicon | 23.288 17.6.0 CR#580 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210760 | Federated Learning Capability for NWDAF to support FL ML model training | CR | Qualcomm Incorporated | 23.288 17.6.0 CR#581 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210763 | Federated Learning Capability for NWDAF to support FL ML model training | CR | Qualcomm Incorporated | 23.501 17.6.0 CR#3810 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210768 | Federated Learning Capability for NWDAF to support FL ML model training | CR | Qualcomm Incorporated | 23.502 17.6.0 CR#3646 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210774 | Horizontal Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revised to S2-2210974 |
China Mobile | 23.288 17.6.0 CR#582 catB | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210778 | NWDAF interaction with MDAS/MDAF in TS 23.288 | CR | China Mobile | 23.288 17.6.0 CR#583 catB | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210780 | NWDAF-assisted application detection in TS 23.288 |
CR revised to S2-2210963 |
China Mobile, Huawei | 23.288 17.6.0 CR#584 catB | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210783 | Supporting Analytics Accuracy at the NWDAF - General Description |
CR revised to S2-2300756 |
Lenovo, | 23.288 17.6.0 CR#585 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210792 | Supporting Analytics Accuracy at the NWDAF - MTLF Description |
CR revised to S2-2300759 |
Lenovo, | 23.288 17.6.0 CR#586 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210795 | Supporting Analytics Accuracy at the NWDAF - AnLF Description |
CR revised to S2-2300760 |
Lenovo, | 23.288 17.6.0 CR#587 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210797 | AnLF selecting an MTLF for Federated Learning | CR | Lenovo, | 23.288 17.6.0 CR#588 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210798 | Federated Learning procedure at MTLF | CR | Lenovo, | 23.288 17.6.0 CR#589 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210804 | Support for Federated Learning in 5GC with FL client and FL Server capability | CR | Intel | 23.501 17.6.0 CR#3812 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210812 | ENA_Ph3 DCCF relocation in TS 23.288 | CR | China Mobile | 23.288 17.6.0 CR#590 catB | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210820 | NWDAF discovery and selection for federated learning | CR | Samsung | 23.288 17.6.0 CR#591 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210824 | Enhancing location analytics with finer granularity location information |
CR revised to S2-2300778 |
Lenovo, | 23.288 17.6.0 CR#592 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210825 | Supporting Location Accuracy Analytics |
CR revised to S2-2300785 |
Lenovo, | 23.288 17.6.0 CR#593 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210888 | GTP metrics for QoS Sustainability analytics | CR | Orange | 23.288 17.6.0 CR#594 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2210899 | Update TS23.288 to Manage Event Muting Impact on NFp |
CR revised to S2-2210966 |
Nokia, Nokia Shanghai Bell | 23.288 17.6.0 CR#595 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210926 | NWDAF-assisted application detection | draftCR | Samsung | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
available | [WTS] [JSN] | |
S2-2210927 | NWDAF-assisted application detection | draftCR | Samsung | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
available | [WTS] [JSN] | |
S2-2210928 | NWDAF-assisted application detection | draftCR | Samsung | FS_eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
available | [WTS] [JSN] | |
S2-2210960 | Multiple ML models for an analytics ID |
CR revision of S2-2210277 revised to S2-2211159 |
Ericsson, Vivo, AT&T, Lenovo | 23.288 17.6.0 CR#5591 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210961 | Improving the Correctness of Service Experience Predictions with Contribution Weights |
CR revision of S2-2210351 |
InterDigital Inc., Intel, Vivo | 23.288 17.6.0 CR#5651 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2210962 | Use case context |
CR revision of S2-2210300 |
Orange, KDDI, ETRI, Lenovo, Dish Network | 23.288 17.6.0 CR#5611 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2210963 | NWDAF-assisted application detection in TS 23.288 |
CR revision of S2-2210780 revised to S2-2211160 |
China Mobile, Huawei, Ericsson, OPPO | 23.288 17.6.0 CR#5841 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210964 | PFDF consume Application Detection analytics from NWDAF |
CR revision of S2-2210627 revised to S2-2211161 |
Huawei, HiSilicon | 23.503 17.6.0 CR#7831 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210966 | Update TS23.288 to Manage Event Muting Impact on NFp |
CR revision of S2-2210899 |
Nokia, Nokia Shanghai Bell, Ericsson | 23.288 17.6.0 CR#5951 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2210967 | Adding Interoperability Indicator for ML model sharing |
CR revision of S2-2210276 revised to S2-2211162 |
Ericsson, AT&T | 23.288 17.6.0 CR#5581 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210968 | NWDAF discovery principle enhancements for enhanced model sharing |
CR revision of S2-2210523 revised to S2-2211163 |
Vivo, Ericsson, AT&T | 23.501 17.6.0 CR#37831 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210969 | Enhance NRF services for trained ML model sharing |
CR revision of S2-2210522 revised to S2-2211164 |
Vivo, Ericsson, AT&T | 23.502 17.6.0 CR#36211 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210970 | Add new paramters to Redundant Transmission Experience analytics |
CR revision of S2-2210335 |
Futurewei, Huawei, LG Electronics | 23.288 17.6.0 CR#5631 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2210971 | AF-driven NWDAF-assisted URSP |
CR revision of S2-2210393 |
ETRI | 23.502 17.6.0 CR#36091 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2210972 | NWDAF- assisted URSPs introduced in policy decision |
CR revision of S2-2210462 revised to S2-2211149 |
Vivo | 23.503 17.6.0 CR#7691 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210973 | QoS sustainability analytics enhancement |
CR revision of S2-2210628 revised to S2-2211266 |
Huawei, HiSilicon, China Mobile | 23.288 17.6.0 CR#5761 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2210974 | Horizontal Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2210774 revised to S2-2211166 |
China Mobile, Ericsson | 23.288 17.6.0 CR#5821 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211149 | NWDAF- assisted URSPs introduced in policy decision |
CR revision of S2-2210972 revised to S2-2211169 |
Vivo, ETRI, China Telecom | 23.503 17.6.0 CR#7692 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211159 | Multiple ML models for an analytics ID |
CR revision of S2-2210960 |
Ericsson, Vivo, AT&T, Lenovo | 23.288 17.6.0 CR#5592 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211160 | NWDAF-assisted application detection in TS 23.288 |
CR revision of S2-2210963 revised to S2-2211258 |
China Mobile, Huawei, Ericsson, OPPO | 23.288 17.6.0 CR#5842 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211161 | PFDF consume Application Detection analytics from NWDAF |
CR revision of S2-2210964 revised to S2-2211259 |
Huawei, HiSilicon | 23.503 17.6.0 CR#7832 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211162 | Adding Interoperability Indicator for ML model sharing |
CR revision of S2-2210967 revised to S2-2211260 |
Ericsson, AT&T | 23.288 17.6.0 CR#5582 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211163 | NWDAF discovery principle enhancements for enhanced model sharing |
CR revision of S2-2210968 |
Vivo, Ericsson, AT&T | 23.501 17.6.0 CR#37832 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211164 | Enhance NRF services for trained ML model sharing |
CR revision of S2-2210969 revised to S2-2211261 |
Vivo, Ericsson, AT&T | 23.502 17.6.0 CR#36212 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211165 | Support of NWDAF assisting PCF in making URSP decisions |
CR revision of S2-2210499 |
China Telecom | 23.503 17.6.0 CR#7721 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
withdrawn | [WTS] [JSN] |
S2-2211166 | Horizontal Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2210974 revised to S2-2211264 |
China Mobile, Ericsson | 23.288 17.6.0 CR#5822 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211167 | Discovery and Selection of the NWDAF Supporting Federated Learning in 5GC |
CR revision of S2-2210431 revised to S2-2211263 |
LG Electronics | 23.501 17.6.0 CR#37721 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211168 | NRF service enhancements for Federated Learning |
CR revision of S2-2210525 |
Vivo | 23.502 17.6.0 CR#36221 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211169 | NWDAF- assisted URSPs introduced in policy decision |
CR revision of S2-2211149 revised to S2-2211262 |
Vivo, ETRI, China Telecom | 23.503 17.6.0 CR#7693 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211258 | NWDAF-assisted application detection in TS 23.288 |
CR revision of S2-2211160 |
China Mobile, Huawei, Ericsson, OPPO | 23.288 17.6.0 CR#5843 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211259 | PFDF consume Application Detection analytics from NWDAF |
CR revision of S2-2211161 |
Huawei, HiSilicon | 23.503 17.6.0 CR#7833 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211260 | Adding Interoperability Indicator for ML model sharing |
CR revision of S2-2211162 |
Ericsson, AT&T | 23.288 17.6.0 CR#5583 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211261 | Enhance NRF services for trained ML model sharing |
CR revision of S2-2211164 |
Vivo, Ericsson, AT&T | 23.502 17.6.0 CR#36213 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211262 | NWDAF- assisted URSPs introduced in policy decision |
CR revision of S2-2211169 |
Vivo, ETRI, China Telecom | 23.503 17.6.0 CR#7694 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211263 | Discovery and Selection of the NWDAF Supporting Federated Learning in 5GC |
CR revision of S2-2211167 revised to S2-2211302 |
LG Electronics | 23.501 17.6.0 CR#37722 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211264 | Horizontal Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2211166 revised to S2-2211301 |
China Mobile, Ericsson | 23.288 17.6.0 CR#5823 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211266 | QoS sustainability analytics enhancement |
CR revision of S2-2210973 |
Huawei, HiSilicon, China Mobile, Lenovo | 23.288 17.6.0 CR#5762 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211301 | Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2211264 revised to S2-2211435 |
China Mobile, Ericsson | 23.288 17.6.0 CR#5824 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2211302 | Discovery and Selection of the NWDAF Supporting Federated Learning in 5GC |
CR revision of S2-2211263 |
LG Electronics | 23.501 17.6.0 CR#37723 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2211435 | Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2211301 |
China Mobile, Ericsson | 23.288 17.6.0 CR#5825 catB | eNA_Ph3 | Rel-18 |
S2-154 AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2300014 | LS from SA WG3: LS on the data and analytics exchange between two NWDAFs in different PLMNs |
LS in source LS: S3-223020 LS To: SA WG2 LS reply in S2-2302536 revision of S2-2210201 revised to S2-2302179 |
SA WG3 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] | |||
S2-2300105 | Procedure for requesting and collecting analytics from MDAF |
CR revised to S2-2302833 |
Lenovo Mobile Com. Technology | 23.288 18.0.0 CR#597 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300106 | Rating untrusted AF data sources |
CR revised to S2-2302504 |
Lenovo Mobile Com. Technology | 23.288 18.0.0 CR#598 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300107 | Enhancement of NWDAF with finer granularity of location information using the Ngmlc services. | CR | Rakuten Mobile | 23.288 18.0.0 CR#599 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300110 | Updates for Model Provisioning for Analytics of Group UEs |
CR revision of S2-2210269 revised to S2-2301457 |
Ericsson, InterDigital Inc. | 23.288 18.0.0 CR#5561 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300111 | Monitoring of accuracy of ML models |
CR revision of S2-2210274 revised to S2-2301980 |
Ericsson | 23.288 18.0.0 CR#5571 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300112 | Update ML model provisioning by leveraging ML model storage in ADRF | CR | Ericsson | 23.288 18.0.0 CR#600 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300113 | Procedure of analytics and data collection in roaming scenario | CR | Ericsson | 23.288 18.0.0 CR#601 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300114 | Update ML model provisioning service with Interoperability Information |
CR revised to S2-2301997 |
Ericsson | 23.288 18.0.0 CR#602 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300115 | NWDAF relocation updates |
CR revised to S2-2302466 |
Ericsson | 23.288 18.0.0 CR#603 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300116 | Support the Maintenance of Federated Learning Process in 5GC |
CR revised to S2-2302002 |
Ericsson | 23.288 18.0.0 CR#604 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300117 | Support MTLF Discovery and Model Information Exchange for Federated Learning in 5GC | CR | Ericsson | 23.288 18.0.0 CR#605 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300118 | Updates on pending notifications handling |
CR revised to S2-2302468 |
Ericsson | 23.502 18.0.0 CR#3661 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2300119 | Updates on pending notifications handling |
CR revised to S2-2301993 |
Ericsson | 23.288 18.0.0 CR#606 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300124 | Service Experience Analytics ID | CR | Ericsson | 23.288 18.0.0 CR#609 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2300125 | Service Experience Analytics ID | CR | Ericsson | 23.503 18.0.0 CR#797 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300142 | Discussion on ML Model profile. | discussion | Lenovo | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] | |
S2-2300147 | Federate Learning Procedure Enhancement for Accuracy and Member Selection | CR | NTT DOCOMO | 23.288 18.0.0 CR#610 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300210 | Key Issue #3: Data and analytics exchange in roaming case |
CR revised to S2-2301990 |
Nokia, Nokia Shanghai-Bell | 23.288 18.0.0 CR#611 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300211 | Key Issue #9: Analytic ID that supports location accuracy estimate |
CR revised to S2-2302005 |
Nokia, Nokia Shanghai-Bell | 23.288 18.0.0 CR#612 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300238 | Support of PSAP resolution with NWDAF | CR | Rakuten Mobile | 23.228 18.0.0 CR#1258 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2300239 | Discussion on PSAP resolution with UE mobility analytics. | discussion | Rakuten Mobile | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] | |
S2-2300240 | UE Mobility analytics enhancement for PSAP |
CR revised to S2-2302348 |
Rakuten Mobile | 23.288 18.0.0 CR#615 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300274 | Update of Federated Learning among Multiple NWDAFs | CR | OPPO | 23.288 18.0.0 CR#617 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300275 | Update of NRF service for Federated Learning in 5GC | CR | OPPO | 23.502 18.0.0 CR#3694 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300276 | Update of NWDAF Discovery and Selection for FL in 5GC | CR | OPPO | 23.501 18.0.0 CR#3863 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300282 | ML Model storage and retrieval from ADRF | CR | Lenovo Mobile Com. Technology | 23.288 18.0.0 CR#619 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300307 | Extension of NWDAF registration information to reflect new accuracy checking capability |
CR revision of S2-2210346 revised to S2-2302412 |
Huawei, HiSilicon | 23.501 18.0.0 CR#37641 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300308 | Extension of NRF services for NWDAF registration to reflect new accuracy checking capability |
CR revision of S2-2210347 revised to S2-2302413 |
Huawei, HiSilicon | 23.502 18.0.0 CR#36061 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300309 | Adding Accuracy Checking Capability to NWDAF Architecture |
CR revision of S2-2210348 revised to S2-2301981 |
Huawei, HiSilicon | 23.288 18.0.0 CR#5641 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300315 | Storing data source rating in ADRF | CR | Lenovo Mobile Com. Technology | 23.288 18.0.0 CR#620 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2300379 | Add new parameters to Redundant Transmission Experience analytics | CR | Futurewei, Huawei, LG Electronics | 23.288 18.0.0 CR#621 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300401 | Correction and clarification on NWDAF assisted URSP | CR | LG Electronics | 23.503 18.0.0 CR#827 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2300402 | Clarification on enhanced OSE analytics | CR | LG Electronics | 23.288 18.0.0 CR#623 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300406 | Enhancement of NWDAF with finer granularity of location information in Observed Service Experience Analytic ID | CR | Rakuten Mobile | 23.288 18.0.0 CR#624 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300442 | KI#2 Clarification on PFD Determination Analytics in TS 23.288 |
CR revised to S2-2301987 |
China Mobile, KDDI | 23.288 18.0.0 CR#625 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300443 | The procedure for PFD management via NEF (PFDF) based on PFD Determination analytics in TS23.502 | CR | China Mobile | 23.288 18.0.0 CR#626 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300444 | KI#10 NWDAF interaction with MDAS/MDAF in TS 23.288 |
CR revised to S2-2302011 |
China Mobile | 23.288 18.0.0 CR#627 catA | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300445 | Update for Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revised to S2-2301460 |
China Mobile | 23.288 18.0.0 CR#628 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300447 | ENA_Ph3 DCCF relocation in TS 23.288 |
CR revised to S2-2302869 |
China Mobile, Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#630 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300448 | DCCF Discovery principle enhancements for DCCF relocation in TS 23.501 | CR | China Mobile | 23.501 18.0.0 CR#3905 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300449 | Enhance NRF services for DCCF relocation in TS 23.502 | CR | China Mobile | 23.502 18.0.0 CR#3725 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2300450 | QoS sustainability analytics with fine granularity enhancement |
CR revised to S2-2301459 |
China Mobile | 23.288 18.0.0 CR#631 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300453 | Update NWDAF-assisted PFD determination | CR | KDDI, China Mobile | 23.288 18.0.0 CR#632 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300454 | PFD Determination by NEF (PFDF) |
CR revised to S2-2301988 |
KDDI | 23.502 18.0.0 CR#3727 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300455 | Clarification on NWDAF-assisted PFD determination in TS23.503 |
CR revised to S2-2302384 |
KDDI, China Mobile | 23.503 18.0.0 CR#832 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300466 | Enhancements on QoS Sustainability analytics |
CR revised to S2-2302613 |
LG Electronics, Orange | 23.288 18.0.0 CR#633 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300522 | Enhance NWDAF to enable Federated Learning |
CR revised to S2-2302003 |
Vivo | 23.288 18.0.0 CR#634 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300523 | TS 23.501 enhancements for federated learining. |
CR revised to S2-2302004 |
Vivo | 23.501 18.0.0 CR#3925 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300524 | TS 23.501 enhancements for model sharing. |
CR revised to S2-2301998 |
Vivo | 23.501 18.0.0 CR#3926 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300525 | TS 23.502 enhancements for model sharing. | CR | Vivo | 23.502 18.0.0 CR#3741 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300526 | TS 23.288 enhancements for model sharing. |
CR revised to S2-2301999 |
Vivo | 23.288 18.0.0 CR#635 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300527 | Roaming architecture for data or analytics exchange |
CR revised to S2-2301991 |
Vivo | 23.288 18.0.0 CR#636 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300533 | Considering ML model management capability during ADRF discovery and selection |
CR revised to S2-2301994 |
China Unicom | 23.501 18.0.0 CR#3929 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300535 | KI#1 Moderated Discussions on KI#1 skeleton and interest gathering. | discussion | Vivo | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] | |
S2-2300536 | Analytics/ML Model Accuracy Monitoring Functional Description |
CR revised to S2-2301982 |
Vivo | 23.288 18.0.0 CR#637 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300537 | NWDAF discovery enhancement for Analytics Models Accuracy Monitoring |
CR revised to S2-2302538 |
Vivo | 23.501 18.0.0 CR#3930 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300538 | NRF service enhancements for Analytics Accuracy Monitoring |
CR revised to S2-2302539 |
Vivo | 23.502 18.0.0 CR#3743 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300539 | Analytics Accuracy Monitoring procedures | CR | Vivo | 23.288 18.0.0 CR#638 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300540 | ML Models Accuracy Monitoring procedures | CR | Vivo | 23.288 18.0.0 CR#639 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300541 | Update on Multiple ML models for an analytics ID |
CR revised to S2-2301983 |
Vivo | 23.288 18.0.0 CR#640 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300543 | ML model storage and retrieval via ADRF |
CR revised to S2-2301995 |
China Unicom | 23.288 18.0.0 CR#641 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300592 | Definition of FL capability | CR | Qualcomm Incorporated | 23.288 18.0.0 CR#642 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300594 | Definition of FL capability | CR | Qualcomm Incorporated | 23.501 18.0.0 CR#3946 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300598 | Definition of FL capability | CR | Qualcomm Incorporated | 23.502 18.0.0 CR#3756 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300631 | Network Data Analytics Exposure architecture in roaming case | CR | Qualcomm Incorporated | 23.288 18.0.0 CR#643 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300632 | FL client NWDAF selection | CR | Samsung, SK Telecom | 23.288 18.0.0 CR#644 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300669 | KI#4 Optimization on the collection and reporting of network data |
CR revised to S2-2302874 |
China Mobile | 23.288 18.0.0 CR#645 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2300695 | NWDAF data collection from LCS system |
CR revised to S2-2302006 |
Vivo | 23.288 18.0.0 CR#646 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300696 | KI#9 NWDAF consumer enhancement about location service |
CR revised to S2-2302007 |
Vivo, Orange | 23.288 18.0.0 CR#647 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300719 | QoS Sustainability enhancement | CR | Huawei, HiSilicon | 23.288 18.0.0 CR#649 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300720 | NWDAF assisted decision on E2E redundant transmission |
CR revised to S2-2302647 |
Huawei, HiSilicon | 23.503 18.0.0 CR#847 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300744 | Relative Proximity Analytics |
CR revised to S2-2302009 |
Samsung | 23.288 18.0.0 CR#651 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300756 | Supporting Analytics Accuracy at the NWDAF - General Description |
CR revision of S2-2210783 |
Lenovo, | 23.288 18.0.0 CR#5851 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300759 | Supporting Analytics Accuracy at the NWDAF - MTLF Description |
CR revision of S2-2210792 |
Lenovo | 23.288 18.0.0 CR#5861 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300760 | Supporting Analytics Accuracy at the NWDAF - AnLF Description |
CR revision of S2-2210795 |
Lenovo, | 23.288 18.0.0 CR#5871 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300771 | UE Mobility analytics enhancement |
CR revised to S2-2302008 |
Huawei, HiSilicon, Toyota | 23.288 18.0.0 CR#653 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300772 | Procedure for for analytics collection from MDAF |
CR revised to S2-2302715 |
Huawei, HiSilicon | 23.288 18.0.0 CR#654 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300773 | Analytics Exposure in roaming case | CR | Huawei, HiSilicon | 23.288 18.0.0 CR#655 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300778 | Enhancing location analytics with finer granularity location information |
CR revision of S2-2210824 revised to S2-2302010 |
Lenovo, | 23.288 18.0.0 CR#5921 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300785 | Supporting Location Accuracy Analytics |
CR revision of S2-2210825 |
Lenovo, | 23.288 18.0.0 CR#5931 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300786 | KI#1: Procedures to monitor ML model accuracy |
CR revision of S2-2210555 |
ETRI | 23.288 18.0.0 CR#5731 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300788 | KI#8: Addition of Nnwdaf_MLModelTraining service |
CR revision of S2-2210557 |
ETRI | 23.288 18.0.0 CR#5741 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300789 | KI#8: Discussion on services enabling FL. | discussion | ETRI | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] | |
S2-2300804 | KI#1: Update for supporting analytics feedback |
CR revised to S2-2301984 |
ETRI | 23.288 18.0.0 CR#658 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2300842 | AnLF Analytics Accuracy Monitoring procedure | CR | China Mobile | 23.288 18.0.0 CR#661 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300857 | New analytics ID for traffic flow use case |
CR revised to S2-2302759 |
Vivo | 23.288 18.0.0 CR#662 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300894 | Add application descriptor and connection capability into output of OSE | CR | Vivo | 23.288 18.0.0 CR#663 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300895 | Procedures of NWDAF-assisted URSPs | CR | Vivo | 23.288 18.0.0 CR#664 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] |
S2-2300896 | Removing ENs about redundent transmission and multiple analytic | CR | Vivo | 23.503 18.0.0 CR#865 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2300943 | NWDAF discovery and selection for an NWDAF supporting MTLF with FL capability |
CR revised to S2-2302727 |
Lenovo, | 23.288 18.0.0 CR#666 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
postponed | [WTS] [JSN] |
S2-2300945 | Clarification of Federated Learning procedure at MTLF | CR | Lenovo, | 23.288 18.0.0 CR#667 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301001 | Optimizing data collection and storage by NWDAF registration in UDM for all Analytics IDs | CR | Orange | 23.288 18.0.0 CR#669 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301004 | Enhancement of NWDAF with finer granularity of location information in Dispersion Analytics | CR | Rakuten Mobile | 23.288 18.0.0 CR#670 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301012 | Update on NWDAF-assisted URSP |
CR revised to S2-2302000 |
ETRI | 23.503 18.0.0 CR#875 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301049 | Procedure for accuracy monitoring at NWDAF containing AnLF |
CR revised to S2-2301985 |
China Telecom | 23.288 18.0.0 CR#673 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301050 | Procedure for AnLF assisted MTLF in ML model accuracy monitoring | CR | China Telecom | 23.288 18.0.0 CR#674 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301051 | New NWDAF service supporting for AnLF assisted MTLF in accuracy monitoring |
CR revised to S2-2302580 |
China Telecom | 23.288 18.0.0 CR#675 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301052 | Remove EN about NWDAF assisted URSP in TS23.503 |
CR revised to S2-2302001 |
China Telecom | 23.503 18.0.0 CR#880 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301120 | Discovery and selection of NWDAF with FL support Resolve EN | CR | Intel | 23.501 18.0.0 CR#4070 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301132 | Support for ML Model Interoperability Indicator Resolve EN |
CR revised to S2-2302542, S2-2302584 |
Intel | 23.502 18.0.0 CR#3847 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301134 | Update NWDAF Discovery and Selection procedure resolve EN | CR | Intel | 23.288 18.0.0 CR#678 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301135 | Procedure updates to support FL between NWDAFs containing MTLF | CR | Intel | 23.288 18.0.0 CR#679 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301166 | Procedure for AnLF-assisted ML model monitoring for analytics accuracy | CR | CATT | 23.288 18.0.0 CR#680 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301167 | Service definition for analytics accuracy monitoring | CR | CATT | 23.288 18.0.0 CR#681 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301168 | Roaming architecture | CR | CATT | 23.288 18.0.0 CR#682 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301169 | Procedures for network data analytics in roaming |
CR revised to S2-2301458 |
CATT | 23.288 18.0.0 CR#683 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301170 | NWDAF discovery in roaming scenarios | CR | CATT | 23.288 18.0.0 CR#684 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301171 | Using network analytics for roaming scenarios |
CR revised to S2-2301992 |
CATT | 23.501 18.0.0 CR#4080 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301172 | Using network analytics for roaming scenarios |
CR revised to S2-2302795 |
CATT | 23.502 18.0.0 CR#3850 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301226 | [DRAFT] LS on DCAF Support for Relative Proximity Analytics in NWDAF |
LS out LS To: SA WG4 |
Samsung | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
noted | [WTS] [JSN] | |
S2-2301270 | MTLF-based ML Model Accuracy Monitoring |
CR revised to S2-2301986 |
Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#689 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301271 | Data storage in ADRF using DataSetTag. | CR | Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#690 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301272 | DCCF relocation | CR | Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#691 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301273 | Input data in ML model provision services. | CR | Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#692 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301274 | Data Storage Management |
CR revised to S2-2301996 |
Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#693 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301275 | Managing of Event Muting Impact on NFp | CR | Nokia, Nokia Shanghai Bell | 23.502 18.0.0 CR#3864 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301285 | Update on PFD Determination analytics | CR | Samsung, SK Telecom | 23.288 18.0.0 CR#694 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301289 | Update NEF to support NWDAF-assisted application detection |
CR revised to S2-2301989 |
Samsung, SK Telecom | 23.501 18.0.0 CR#4105 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
revised | [WTS] [JSN] |
S2-2301291 | Update NEF to support NWDAF-assisted application detection | CR | Samsung, SK Telecom | 23.502 18.0.0 CR#3868 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
not treated | [WTS] [JSN] |
S2-2301457 | Updates for Model Provisioning for Analytics of Group UEs |
CR revision of S2-2300110 |
Ericsson, InterDigital Inc., Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#5562 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301458 | Procedures for network data analytics in roaming |
CR revision of S2-2301169 |
CATT, Qualcomm, Nokia, Nokia-Shanghai-Bell, vivo | 23.288 18.0.0 CR#6831 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301459 | QoS sustainability analytics with fine granularity enhancement |
CR revision of S2-2300450 revised to S2-2302461, S2-2302645 |
China Mobile | 23.288 18.0.0 CR#6311 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301460 | Update for Federated Learning among Multiple NWDAFs in TS 23.288 |
CR revision of S2-2300445 revised to S2-2302430, S2-2302470, S2-2302582, S2-2302709, S2-2303017, S2-2303060 |
China Mobile | 23.288 18.0.0 CR#6281 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301980 | Monitoring of accuracy of ML models |
CR revision of S2-2300111 revised to S2-2302469 |
Ericsson, CATT, Vivo | 23.288 18.0.0 CR#5572 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301981 | Adding Accuracy Checking Capability to NWDAF Architecture |
CR revision of S2-2300309 revised to S2-2302414 |
Huawei, HiSilicon,vivo | 23.288 18.0.0 CR#5642 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301982 | Analytics/ML Model Accuracy Monitoring Functional Description |
CR revision of S2-2300536 revised to S2-2302537, S2-2302873 |
vivo, Lenovo | 23.288 18.0.0 CR#6371 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301983 | Update on Multiple ML models for an analytics ID |
CR revision of S2-2300541 |
Vivo | 23.288 18.0.0 CR#6401 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301984 | KI#1: Update for supporting analytics feedback |
CR revision of S2-2300804 revised to S2-2302594 |
ETRI, vivo | 23.288 18.0.0 CR#6581 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301985 | Procedure for accuracy monitoring at NWDAF containing AnLF |
CR revision of S2-2301049 revised to S2-2302581 |
China Telecom | 23.288 18.0.0 CR#6731 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301986 | MTLF-based ML Model Accuracy Monitoring |
CR revision of S2-2301270 |
Nokia, Nokia Shanghai Bell, ETRI, vivo, Ericsson | 23.288 18.0.0 CR#6891 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301987 | KI#2 Clarification on PFD Determination Analytics in TS 23.288 |
CR revision of S2-2300442 revised to S2-2302867, S2-2302907 |
China Mobile, KDDI, Samsung, SK Telecom, Ericsson | 23.288 18.0.0 CR#6251 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301988 | PFD Determination by NEF (PFDF) |
CR revision of S2-2300454 revised to S2-2302474 |
KDDI, China Mobile, Samsung, SK Telecom | 23.502 18.0.0 CR#37271 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301989 | Update NEF to support NWDAF-assisted application detection |
CR revision of S2-2301289 revised to S2-2302868 |
Samsung, SK Telecom, KDDI, Ericsson | 23.501 18.0.0 CR#41051 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301990 | Key Issue #3: Data and analytics exchange in roaming case |
CR revision of S2-2300210 revised to S2-2302668, S2-2302900, S2-2303159 |
Nokia, Nokia Shanghai-Bell, Samsung, CATT | 23.288 18.0.0 CR#6111 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301991 | Roaming architecture for data or analytics exchange |
CR revision of S2-2300527 revised to S2-2302374 |
Vivo, Nokia, Nokia Shanghai-Bell, CATT,cHuawei, Ericsson, Qualcomm | 23.288 18.0.0 CR#6361 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301992 | Using network analytics for roaming scenarios |
CR revision of S2-2301171 |
CATT | 23.501 18.0.0 CR#40801 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301993 | Updates on pending notifications handling |
CR revision of S2-2300119 |
Ericsson | 23.288 18.0.0 CR#6061 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301994 | Considering ML model management capability during ADRF discovery and selection |
CR revision of S2-2300533 revised to S2-2302962, S2-2302964 |
China Unicom | 23.501 18.0.0 CR#39291 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301995 | ML model storage and retrieval via ADRF |
CR revision of S2-2300543 revised to S2-2302711, S2-2303016, S2-2303018 |
China Unicom, Lenovo Mobile Com. Technology, Intel | 23.288 18.0.0 CR#6411 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301996 | Data Storage Management |
CR revision of S2-2301274 revised to S2-2302710 |
Nokia, Nokia Shanghai Bell | 23.288 18.0.0 CR#6931 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301997 | Update ML model provisioning service with Interoperability Information |
CR revision of S2-2300114 |
Ericsson | 23.288 18.0.0 CR#6021 catF | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301998 | TS 23.501 enhancements for model sharing. |
CR revision of S2-2300524 |
Vivo | 23.501 18.0.0 CR#39261 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2301999 | TS 23.288 enhancements for model sharing. |
CR revision of S2-2300526 |
Vivo | 23.288 18.0.0 CR#6351 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302000 | Update on NWDAF-assisted URSP |
CR revision of S2-2301012 revised to S2-2302551 |
ETRI | 23.503 18.0.0 CR#8751 catC | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302001 | Remove EN about NWDAF assisted URSP in TS23.503 |
CR revision of S2-2301052 |
China Telecom | 23.503 18.0.0 CR#8801 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302002 | Support the Maintenance of Federated Learning Process in 5GC |
CR revision of S2-2300116 revised to S2-2302472, S2-2302585, S2-2303072 |
Ericsson | 23.288 18.0.0 CR#6041 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302003 | Enhance NWDAF to enable Federated Learning |
CR revision of S2-2300522 revised to S2-2302373 |
vivo | 23.288 18.0.0 CR#6341 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302004 | TS 23.501 enhancements for federated learining. |
CR revision of S2-2300523 |
Vivo | 23.501 18.0.0 CR#39251 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302005 | Key Issue #9: Analytic ID that supports location accuracy estimate |
CR revision of S2-2300211 revised to S2-2302387, S2-2302768 |
Nokia, Nokia Shanghai-Bell, Lenovo | 23.288 18.0.0 CR#6121 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302006 | NWDAF data collection from LCS system |
CR revision of S2-2300695 |
Vivo, Rakuten Mobile | 23.288 18.0.0 CR#6461 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302007 | Enhancements to Analytics Reporting Information and NWDAF output |
CR revision of S2-2300696 revised to S2-2302713 |
Vivo, Orange, Nokia, Nokia Shanghai-Bell | 23.288 18.0.0 CR#6471 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302008 | UE Mobility analytics enhancement |
CR revision of S2-2300771 revised to S2-2302714 |
Huawei, HiSilicon, Toyota | 23.288 18.0.0 CR#6531 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302009 | Relative Proximity Analytics |
CR revision of S2-2300744 revised to S2-2302454 |
Samsung | 23.288 18.0.0 CR#6511 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302010 | Enhancing location analytics with finer granularity location information |
CR revision of S2-2300778 revised to S2-2302735 |
Lenovo, | 23.288 18.0.0 CR#5922 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
S2-2302011 | KI#10 NWDAF interaction with MDAS/MDAF in TS 23.288 |
CR revision of S2-2300444 |
China Mobile | 23.288 18.0.0 CR#6271 catB | eNA_Ph3 | Rel-18 |
S2-154-AH-e AI: 9.23.2 |
agreed | [WTS] [JSN] |
250 documents (0.3187038898468 seconds)