№ lp_2_3_62636
File format: docx
Character count: 215462
File size: 282 KB
Industry standardization meeting summary documenting company observations and proposals on AI/ML-based CSI compression, training collaboration types, and related specification impacts within 3GPP RAN1 discussions.
Organization:
3GPP TSG-RAN WG1
Meeting:
Meeting #112bis-e
Document Number:
R1-230xxxx
Agenda Item:
9.2.2.2
Date:
April 17–26, 2023
Meeting Type:
e-Meeting
Source:
Moderator (Apple)
Moderator:
Huaning Niu (Apple)
Contributing Companies:
Apple; NTT DOCOMO; Qualcomm; NEC; CATT; LG Electronics; Spreadtrum; Lenovo; Samsung; CMCC; MediaTek; Panasonic; Xiaomi; Sony; Intel; AT&T; OPPO; Google; Huawei, HiSilicon; Fujitsu; CAICT; Futurewei; NVIDIA; InterDigital; ZTE; vivo
Topic:
AI/ML for CSI enhancement
Technical Scope:
CSI compression with two-sided model and training collaboration types
Document Type:
Technical meeting summary
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2023
Region / city:
N/A
Topic:
Enhancements on cell DTX/DRX mechanism
Document type:
Meeting contribution
Organization / institution:
3GPP TSG RAN WG1
Author:
Moderator (Intel Corporation)
Target audience:
3GPP members, technical experts in telecommunications
Period of validity:
N/A
Approval date:
N/A
Modification date:
N/A
Year:
2023
Meeting:
3GPP TSG-RAN WG3 Meeting #119bis-e
Dates:
17–26 April 2023
Agenda item:
12.2.2.1
Source:
ZTE; Ericsson; Qualcomm Incorporated; Lenovo; Nokia; Nokia Shanghai Bell
Reference:
R3-232023, Summary of email Discussion on CB: # AIRAN2_LB
Specification concerned:
3GPP TS 38.423
Related specifications:
3GPP TS 23.501; 3GPP TS 38.300; 3GPP TS 37.340
Technical domain:
NG-RAN; Xn interface; AI/ML information reporting
Document type:
Technical Proposal (TP)
Subject:
Introduction of AIRAN-related changes to Xn procedures and AI/ML information reporting
Signalling type:
UE-associated and non-UE-associated signalling
Year:
2023
Event:
3GPP TSG-RAN WG4 Meeting #106-bis-e
Location:
Electronic Meeting
Subject:
NR positioning enhancements and RRM measurement requirements
Document type:
Meeting report / Technical summary
Source:
Moderator (Huawei)
Audience:
3GPP participants and contributing companies
Relevant period:
17 April – 26 April 2023
Agenda item:
5.23.4
Companies involved:
Intel, CATT, ZTE, OPPO, Huawei, HiSilicon, Nokia, Nokia Shanghai Bell, Qualcomm, Ericsson
Key topics:
eDRX cycles, PRS measurement, RRC_IDLE and RRC_INACTIVE states, UE positioning requirements, LPHAP case 6
Decisions pending:
Definition of PRS requirements in INACTIVE state with eDRX ≤ 10.24s and applicability to RedCap UE
Document ID:
R4-23XXXXX
Year:
2022
Region / City:
Global (3GPP)
Topic:
RedCap eDRX support and related protocol agreements
Document Type:
Meeting report / technical discussion summary
Organization:
3GPP TSG-RAN3
Author:
Ericsson (Moderator)
Participants:
Ericsson, Nokia, Huawei, Qualcomm, Samsung, CATT, CMCC, ZTE
Target Audience:
3GPP working group members
Period Covered:
17–26 January 2022
Agenda Item:
11.3
References:
R3-220193, R3-220194, R3-220233, R3-220281, R3-220282, R3-220449, R3-220450, R3-220451, R3-220461, R3-220463, R3-220566, R3-220724, R3-220861, R3-220893, R3-220894
Discussion Topics:
NR Paging eDRX Information, F1/Xn/NG interfaces, RedCap UE indications, IE naming conventions, procedure text agreements, Rel-17 updates
Decisions:
No final consensus in some topics; proposals and preferences noted; moderator conclusions TBD
Organization:
3rd Generation Partnership Project (3GPP)
Working Group:
TSG-RAN WG4
Meeting:
TSG-RAN WG4 Meeting #106-bis-e
Meeting Format:
Electronic Meeting
Meeting Date:
17–26 April 2023
Agenda Item:
5.8.5
Source Company:
vivo
Document Status:
Document for Approval
Technical Domain:
NR FR2 Radio Resource Management
Topic:
General aspects of multi-Rx chain downlink reception
Sub-topic:
Scope and scenarios
Technology Standard:
5G New Radio (NR)
Technical Focus:
Multi-Rx chain reception, simultaneous reception scenarios, UE architectures, beam management, and RRM requirements
Contributing Companies:
Nokia, Huawei, LG Electronics
Discussion Context:
Work item on NR FR2 multi-receiver chain downlink reception RRM requirements
Year:
2025
Region / City:
N/A
Theme:
Artificial Intelligence / Machine Learning, Wireless LAN
Document Type:
Technical Report
Organization / Institution:
IEEE
Author:
Xiaofei Wang, Ming Gan, Gaurang Naik, Liangxiao Xin, Federico Lovison, Ugo Campiglio, Domenico Ficara, Juan-Carlos Zuniga, Jerome Henry, Javier Contreras, Rui Yang, Alphan Sahin, Jim Lansford, Necati Canpolat, Tuncer Baykas
Target Audience:
Researchers, engineers, and professionals in the field of wireless communication and AI/ML
Period of validity:
N/A
Date of approval:
N/A
Date of revisions:
N/A
Year:
2022
Region / city:
N/A
Topic:
Artificial Intelligence, Machine Learning, NR Air Interface
Document type:
Meeting Summary
Organization / institution:
3GPP TSG RAN WG1
Author:
Moderator (Qualcomm)
Target audience:
Industry professionals, RAN1 members
Period of validity:
N/A
Approval date:
N/A
Date of amendments:
N/A
Note:
Context
Year:
2025
Region / City:
Dallas, USA
Theme:
AI/ML, 6GR
Document Type:
Summary
Organization / Institution:
3GPP
Author:
Samsung
Target Audience:
RAN Working Group 1
Period of validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2025
Note:
Region / city
Theme:
Wireless LAN, AIML
Document type:
Technical Report
Organization:
IEEE 802.11 Working Group
Author:
Xiaofei Wang, Ming Gan, Gaurang Naik, Liangxiao Xin, Federico Lovison, Ugo Campiglio, Domenico Ficara, Juan-Carlos Zuniga, Jerome Henry, Javier Contreras, Rui Yang, Alphan Sahin, Jim Lansford, Necati Canpolat, Tuncer Baykas
Target audience:
Researchers, telecommunications professionals, IEEE 802.11 community
Year:
2024
Region / city:
Sophia Antipolis, France
Subject:
AI/ML Management for 5G Networks
Document Type:
Technical Specification
Organization / Institution:
3GPP
Author:
3GPP Organizational Partners
Target Audience:
5G Network Professionals, Developers, and Researchers
Effective Period:
Not specified
Approval Date:
Not specified
Revision Date:
Not specified
Note:
Contextual Description
Year:
2023
Region / City:
Chicago, USA
Theme:
AI/ML for beam management
Document Type:
Discussion and Decision
Organization:
3GPP TSG RAN WG1
Author:
Samsung
Target Audience:
Industry professionals and companies in wireless communication technology
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Year:
2022
Region / City:
New York, NY
Topic:
Wireless LAN, CSI Compression, Machine Learning
Document Type:
Technical Report
Organization:
IEEE 802.11
Author:
Zinan Lin, Rui Yang, Xiaofei Wang
Target Audience:
IEEE members, Wireless Networking Engineers, AI/ML experts
Period of Validity:
N/A
Approval Date:
2022-11-06
Modification Date:
2022-11-16
Year:
2021
Meeting:
3GPP TSG RAN Meeting #94e
Format:
Electronic Meeting
Date:
6–17 December 2021
Source:
CMCC (Moderator)
Title:
New WID on AI/ML for NG-RAN
Work Item Type:
Study Item
3GPP Work Area:
Radio Access
Related Study Item:
880076 Study on enhancement for data collection for NR and EN-DC
Affected Specifications:
TS 38.300; TS 38.401; TS 38.413; TS 38.423; TS 38.473; TS 38.463
Target Completion:
RAN#100
Rapporteurs:
Fang Xie (CMCC); Angelo Centonza (Ericsson)
Responsible RAN WG:
RAN3
Agenda Item:
xxxx
Document For:
Approval
Year:
2025
Region / City:
Remote
Subject:
Gen AI, AI/ML, Data Engineering, Cloud Solutions
Document Type:
Professional Summary, Resume
Organization:
Verizon, Circana, Interas Labs
Author:
Srikanth Bellary
Target Audience:
C-level executives, technical teams, business stakeholders
Period of Action:
2025
Approval Date:
N/A
Modification Date:
N/A
Year:
2024
Meeting:
3GPP TSG RAN WG1 #116
Location:
Athens, Greece
Dates:
26 Feb – 1 Mar 2024
Agenda item:
9.1.3.2
Source:
Moderator (Qualcomm)
Title:
Summary#2 for Additional Study on AI/ML for NR Air Interface: CSI Compression
Document for:
Discussion and Decision
Related Work Item:
Artificial Intelligence (AI)/Machine Learning (ML) for NR Air Interface (Rel-19)
Related Technical Report:
TR 38.843
Topic:
CSI compression using two-sided AI/ML model
Scope:
Temporal, spatial, and frequency domain aspects of CSI compression
Companies involved:
Qualcomm; Lenovo; New H3C; Samsung; Indian Institute of Technology Madras; Fujitsu; vivo; SK telecom; Mavenir; Panasonic; OPPO; NTT DOCOMO; ETRI; Ericsson; ZTE; IIT Kanpur; Spreadtrum; LG; CATT; Intel; Xiaomi; AT&T; CMCC; NVIDIA; MediaTek; Futurewei; TCL
Contact information included:
Yes
Year:
2024
Region / City:
Charlotte, NC
Field:
Data Engineering, AI, MLOps
Document Type:
Resume
Organization:
Truist Bank
Author:
Akhil
Target Audience:
Recruiters, HR, Hiring Managers in Tech Industry
Period of Validity:
Ongoing
Approval Date:
February 2024
Date of Changes:
None
Year:
2023-24
Region / City:
Nagpur
Subject:
Open Elective Courses for B.Tech. VII Semester
Document Type:
Notice
Department / Institution:
Shri Ramdeobaba College of Engineering and Management
Author:
Dr. M. B. Chandak
Target Audience:
B.Tech. students of VII semester (EN, EC, CSE, AIML, DS, Cyber Security, IT)
Action Period:
July 2023
Approval Date:
28/6/2023
Changes Date:
N/A
Context:
A notice detailing the process for selecting and registering for open elective courses for B.Tech. VII semester students at Shri Ramdeobaba College of Engineering and Management for the academic year 2023-24.
Year:
2023–2026
Region / City:
Global / Remote
Topic:
Artificial Intelligence, Machine Learning, Generative AI, Agentic Systems
Document Type:
Professional Profile / Resume
Organization:
MSR Cosmos LLC
Author:
Pavan Kumar Kotra
Target Audience:
Employers, Recruiters, AI/ML Teams
Professional Certifications:
Microsoft Azure Certified, Databricks Certified Machine Learning Professional
Key Projects:
Enterprise Chat on Structured Data (Oracle 26ai), Agentic-RAG Digital Library, Financial Assist Agent, Vinci-360 Social Analytics
Technical Skills:
LLM Optimization, RLHF, LangGraph, CrewAI, Semantic Kernel, Vector Databases (FAISS, Pinecone, Qdrant), PyTorch, TensorFlow, Azure, Docker, Kubernetes
Leadership:
Managed cross-functional AI teams of 7+ members
Year:
2026
Location:
Gothenburg, Sweden
Topic:
6G AI/ML for Radio Access Network
Document Type:
Meeting Report / Topic Summary
Organization:
3GPP TSG-RAN WG4
Author:
Moderator (Samsung)
Target Audience:
RAN Working Groups and involved companies
Agenda Item:
8.1
Preceding Documents:
RP-251881, RP-252912, R4-2601166
Meeting Number:
WG4 #118
Discussion Points:
AI/ML framework, Use case identification, LCM procedures, Data collection, Coordination with other WGs
Stage 1 Timeline:
Q4 2025 – Q1 2026
Stage 2 Timeline:
Q2 2026 – Q2 2027
Companies Involved:
Samsung, CATT, Huawei, China Unicom, vivo
Year:
2025
Location:
Athens, Greece
Topic:
NR AI/ML work in RAN4
Document type:
Meeting summary / Technical report
Organization:
3GPP TSG-RAN WG4
Author:
Moderator (Qualcomm)
Contributors:
Apple, OPPO, MediaTek, CAICT, vivo
Agenda item:
7.19.5
Document number:
R4-25xxxxx
Purpose:
Information sharing and discussion of AI/ML-based CSI prediction
Test frameworks:
CSI prediction, PMI prediction, TypeII-Doppler-r18 codebook
Evaluation metrics:
γ value comparisons, test configurations, CSI-RS resource allocation
Period:
February 17–21, 2025