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Proposal for adding management support to collect and deliver relevant data for two-sided model training in 5G networks, detailing system interactions between gNBs, 3GPP management systems, and UE-side training entities.
Source:
ZTE Corporation, Qualcomm
Meeting:
3GPP TSG SA5 #165
Location:
Goa, India
Date:
9-13 February 2026
Agenda item:
6.20.2
Specification:
3GPP TR 28.882
Version:
0.2.0
Work Item:
FS_AIML_MGT_Ph3 Comments
Type of document:
Technical report / Contribution for approval
Target audience:
3GPP SA5 members and related working groups
Topic:
Management support for data collection and two-sided model training
Pre-conditions:
Relevant data for CSI compression is available in the gNB
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2025
Region / City:
Dallas, US
Topic:
AI/ML Lifecycle Management, Model Training, Network Management
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
NEC, Huawei, Nokia, Samsung, Vivo
Target Audience:
Technical professionals, engineers, and organizations working on AI/ML in telecom
Effective Period:
November 2025
Approval Date:
November 2025
Amendment Date:
None
Year:
2026
Location:
Goa, India
Topic:
Vertical Federated Learning management in 3GPP networks
Document type:
Technical report contribution
Organization:
3GPP TSG SA5
Author:
ZTE Corporation
Agenda item:
6.20.2
Specification:
3GPP TR 28.882
Version:
0.2.0
Work item:
FS_AIML_MGT_Ph3
Target audience:
3GPP SA5 members and contributors
Period of validity:
Rel-19 alignment and future updates
Date of meeting:
9-13 February 2026
Year:
2026
Region / City:
Goa, India
Subject:
Energy-aware Federated Learning Training Process
Document Type:
Technical Report
Organization:
3GPP
Author:
Ericsson
Target Audience:
Operators, AI/ML developers, Federated Learning participants
Approval Date:
09 February 2026
Agenda Item:
6.20.2
Spec:
3GPP TR 28.882
Version:
0.2.0
Work Item:
FS_AIML_MGT_Ph3
Context Description:
Technical report addressing a new use case for energy-aware Federated Learning (FL) in ML training, outlining changes in AI/ML sustainability and system requirements.
Year:
2026
Region / City:
Goa, India
Topic:
Reinforcement Learning and Performance Targets
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
Ericsson Telecom S.A. de C.V.
Target Audience:
Policy makers, machine learning researchers, telecommunications professionals
Period of Validity:
Ongoing
Approval Date:
February 2026
Modification Date:
N/A
Year:
2025
Region / City:
Dallas, US
Topic:
AI/ML Lifecycle Management, Model Training, Network Management
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
NEC, Huawei, Nokia, Samsung, Vivo
Target Audience:
Technical professionals, engineers, and organizations working on AI/ML in telecom
Effective Period:
November 2025
Approval Date:
November 2025
Amendment Date:
None
Year:
2026
Location:
Gothenborg, Sweden
Subject:
CSI compression and AI/ML model specification for RAN
Document type:
Meeting summary / Technical report
Organization:
3GPP TSG RAN WG1
Author:
Moderator (Qualcomm)
Contributors:
Qualcomm, OPPO, Lenovo, Ofinno, NTT DOCOMO, Sharp, CMCC, Ericsson, Futurewei, MediaTek, CEWiT, CATT, Panasonic, Samsung, LG Electronics, TCL, NEC, Apple, Vivo, InterDigital, ETRI, China Telecom, Fujitsu, Toyota, Nokia
Agenda item:
9.1.1
Target group:
RAN1 and RAN2 technical experts
Related release:
Rel-19 conclusions and Rel-20 AI/ML CSI compression work
Key topics:
Spatial-frequency CSI compression, two-sided AI/ML model, quantization, payload configuration, inter-vendor collaboration, performance monitoring
Data collection:
NW and UE side training data, dataset format and exchange specification
Decision points:
Check-points in RAN#110, standardization of encoder model and dataset, performance evaluation metrics
Contact information:
Provided for all participating companies
Context:
Technical report summarizing proposals, observations, and specifications regarding two-sided AI/ML-based CSI compression for RAN1 and RAN2, including payload, quantization, and inter-vendor collaboration aspects.
Document Type:
Print production specification
Subject:
Card printing and file preparation
Print Size:
3.5” × 8”
Color Model:
CMYK
Sides:
2-sided
Bleed Requirement:
File marked with “BLEEDS”
Recommended Paper Stock:
100# white gloss cover
Production Process:
Trim and package
Printer Requirements:
Quantity and delivery information
Industry:
Commercial printing
Year:
2026
Location:
Gothenburg, Sweden
Subject:
CSI compression using two-sided AI/ML model
Document type:
Technical report
Organization:
3GPP TSG RAN WG1
Author:
Moderator (Qualcomm)
Target audience:
RAN1, RAN2, RAN3, RAN4 members, industry participants
Agenda item:
9.1.1
Date of meeting:
February 9–13, 2026
Contact information:
Multiple participating companies listed with emails
Proposals included:
VQ vs. SQ performance, VQ-LUT configurations, payload optimization, quantization codebook exchange
Performance metrics:
SGCS gain, throughput for different ranks and RU percentages
References:
Rel-19 study, Rel-20 AI/ML-based CSI compression
Context:
Technical report summarizing discussion and decisions on inference and other aspects of two-sided CSI compression, including company proposals, performance comparisons, and standardization considerations.
Year:
2026
Region / City:
Global
Topic:
3GPP Specifications
Document Type:
Technical Report
Organization:
3GPP
Author:
Huawei
Target Audience:
Technical professionals involved in 3GPP specifications
Period of validity:
N/A
Approval Date:
15th January 2026
Change Date:
N/A
Year:
2025
Region / City:
Global
Topic:
Markdown Language and Its Variants
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
Nokia
Target Audience:
3GPP members and stakeholders
Effective Date:
15th January 2025
Approval Date:
15th January 2025
Version:
1.0.0
Changes Date:
Not specified
Year:
2025
Region / City:
Dallas, US
Topic:
AI/ML Lifecycle Management, Model Training, Network Management
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
NEC, Huawei, Nokia, Samsung, Vivo
Target Audience:
Technical professionals, engineers, and organizations working on AI/ML in telecom
Effective Period:
November 2025
Approval Date:
November 2025
Amendment Date:
None
Year:
2026
Region / city:
Global
Theme:
3GPP specification formats
Document Type:
Specification
Organization / Institution:
3GPP
Author:
Huawei
Target audience:
3GPP members, technical experts in telecommunications
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Year:
2026
Region / city:
N/A
Topic:
3GPP Spec Modernization
Document Type:
Technical Report
Organization / Institution:
Huawei
Author:
N/A
Target Audience:
3GPP Working Group
Period of Validity:
N/A
Approval Date:
15th January 2026
Modification Date:
N/A
Specification:
3GPP TR 21.802
Version:
TR version 1.0.0
Work Item:
FS_6GSpecs
Agenda Item:
5
Clarification:
The document brings clarification to Proposal 7 regarding RRC ASN.1 and the use of alternative formats for field descriptions in specifications.
Context Description:
A technical report detailing clarifications and evaluations of a proposed specification format, addressing the use of multiple formats for elements of a specification.
Year:
2026
Region / City:
Global
Subject:
6G, ASN.1, RAN2, Radio Resource Control (RRC), Protocol Definitions
Document Type:
Proposal
Organization / Institution:
3GPP
Author:
Nokia, Ericsson
Target Audience:
Industry experts, developers, and engineers working on 6G and ASN.1 implementations
Validity Period:
N/A
Approval Date:
15th January 2026
Modification Date:
N/A
Year:
2025
Region / City:
Gothenburg, SWEDEN
Topic:
Authorization and authentication for RNAA using OAuth 2.0
Document Type:
Specification
Organ / Institution:
3GPP SA3
Author:
Not specified
Target Audience:
3GPP members and stakeholders
Period of Validity:
Not specified
Approval Date:
Not specified
Change Date:
Not specified
Year:
2025
Region / City:
Gothenburg, Sweden
Topic:
Authentication and Authorization in RNAA
Document Type:
Technical Specification
Author:
3GPP TSG-SA3
Target Audience:
Network Engineers, API Developers
Period of Validity:
2025-2026
Approval Date:
7 April 2025
Revision Date:
11 April 2025
Year:
2025
Region / City:
Dallas, US
Topic:
OAuth 2.0 Security Best Practices
Document Type:
Technical Report
Organization / Institution:
3GPP
Author:
Ericsson, Nokia, Nokia Shanghai Bell
Target Audience:
3GPP technical stakeholders
Validity Period:
November 2025
Approval Date:
November 2025
Change Date:
Not specified
Year:
2026
Region / City:
Goa, India
Topic:
Post-Quantum Cryptography
Document Type:
Technical Report
Organization:
3GPP
Author:
Qualcomm Incorporated
Target Audience:
Telecommunications professionals
Period of validity:
2026
Approval Date:
2026-02-09
Amendments Date:
N/A
Work Item:
FS_CryptoPQC
Version:
0.3.0
Agenda Item:
5.2.1
Specification:
3GPP TR 33.703
Contextual description:
Technical report discussing a new solution for SUCI calculation using ECIES and MLKEM for post-quantum cryptography.
Year:
2026
Region / City:
Goa, India
Topic:
Security Architecture and Encryption Standards
Document Type:
Technical Report
Organization / Institution:
Qualcomm Incorporated, Ericsson, KDDI, Nokia
Author:
N/A
Target Audience:
3GPP Delegates and Security Experts
Effective Period:
N/A
Approval Date:
N/A
Modification Date:
N/A
Work Item:
FS_AEAD
Agenda Item:
5.3.2
Spec:
3GPP TR 33.771
Version:
0.2.0
Comments:
This document proposes new terms and clarifications for TR 33.771 to ensure better understanding of AEAD algorithms and their usage.
Note:
References
Context:
A technical document aimed at defining new terms and improving clarity in 3GPP TR 33.771 concerning AEAD algorithms and their application in 5G security.
Year:
2026
Region / City:
Goa, India
Topic:
AI traffic characteristics
Document Type:
3GPP Technical Report
Organization / Institution:
3GPP TSG SA WG 1
Author:
Xiaonan Shi, Jean Trakinat
Target Audience:
3GPP participants, telecommunication professionals
Period of Validity:
Ongoing
Approval Date:
9-13 February 2026
Modification Date:
N/A
Agenda Item:
N/A
Contact:
Xiaonan Shi ([email protected]), Jean Trakinat ([email protected])