EP4449689A4 - NETWORK RESOURCE MODEL-BASED SOLUTIONS FOR AI ML MODEL TRAINING - Google Patents

NETWORK RESOURCE MODEL-BASED SOLUTIONS FOR AI ML MODEL TRAINING

Info

Publication number
EP4449689A4
EP4449689A4 EP22908225.0A EP22908225A EP4449689A4 EP 4449689 A4 EP4449689 A4 EP 4449689A4 EP 22908225 A EP22908225 A EP 22908225A EP 4449689 A4 EP4449689 A4 EP 4449689A4
Authority
EP
European Patent Office
Prior art keywords
model
network resource
based solutions
model training
training
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22908225.0A
Other languages
German (de)
French (fr)
Other versions
EP4449689A1 (en
Inventor
Yizhi Yao
Joey Chou
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Intel Corp
Original Assignee
Intel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Intel Corp filed Critical Intel Corp
Publication of EP4449689A1 publication Critical patent/EP4449689A1/en
Publication of EP4449689A4 publication Critical patent/EP4449689A4/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • Mobile Radio Communication Systems (AREA)
EP22908225.0A 2021-12-13 2022-12-01 NETWORK RESOURCE MODEL-BASED SOLUTIONS FOR AI ML MODEL TRAINING Pending EP4449689A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163288778P 2021-12-13 2021-12-13
PCT/US2022/051545 WO2023114017A1 (en) 2021-12-13 2022-12-01 Network resource model based solutions for ai-ml model training

Publications (2)

Publication Number Publication Date
EP4449689A1 EP4449689A1 (en) 2024-10-23
EP4449689A4 true EP4449689A4 (en) 2025-12-10

Family

ID=86773347

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22908225.0A Pending EP4449689A4 (en) 2021-12-13 2022-12-01 NETWORK RESOURCE MODEL-BASED SOLUTIONS FOR AI ML MODEL TRAINING

Country Status (3)

Country Link
EP (1) EP4449689A4 (en)
CN (1) CN117716674A (en)
WO (1) WO2023114017A1 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230325713A1 (en) * 2022-03-25 2023-10-12 Nokia Technologies Oy Managing machine learning training and machine learning model training control
CN121488441A (en) * 2023-07-10 2026-02-06 Lg电子株式会社 Methods of providing services based on energy consumption
WO2025035266A1 (en) * 2023-08-11 2025-02-20 Nokia Shanghai Bell Co., Ltd. User equipment generated labelled data collection
WO2025071237A1 (en) * 2023-09-26 2025-04-03 주식회사 케이티 Method and apparatus for selecting initially applicable artificial intelligence and machine learning functionality or model
GB2637340A (en) * 2024-01-19 2025-07-23 Nokia Technologies Oy Control of machine learning training and inference
WO2024256054A1 (en) * 2024-02-28 2024-12-19 Lenovo (Singapore) Pte. Ltd. Enabling recommendation analytics in a wireless communication network
CN117938636B (en) * 2024-03-25 2024-05-24 中国人民解放军国防科技大学 Intelligent node management and control service system
CN120569737A (en) * 2024-04-04 2025-08-29 北京小米移动软件有限公司 Method and network entity for validating data of AI/ML model
CN119835672A (en) * 2024-05-21 2025-04-15 荣耀终端股份有限公司 Method and apparatus in a node for wireless communication

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210089921A1 (en) * 2019-09-25 2021-03-25 Nvidia Corporation Transfer learning for neural networks
US11943122B2 (en) * 2019-10-03 2024-03-26 Intel Corporation Management data analytics
EP3869847B1 (en) * 2020-02-24 2024-01-10 INTEL Corporation Multi-access traffic management in open ran, o-ran

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
"3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Management and orchestration; Management Data Analytics (MDA) (Release 17)", no. V0.3.0, 8 December 2021 (2021-12-08), pages 1 - 40, XP052083073, Retrieved from the Internet <URL:https://ftp.3gpp.org/Specs/archive/28_series/28.104/28104-030.zip 28104-030.docx> [retrieved on 20211208] *
"3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Management and orchestration; Study on enhancement of Management Data Analytics (MDA) (Release 17)", vol. SA WG5, no. V1.3.0, 17 March 2021 (2021-03-17), pages 1 - 98, XP052000050, Retrieved from the Internet <URL:https://ftp.3gpp.org/Specs/archive/28_series/28.809/28809-130.zip 28809-130.docx> [retrieved on 20210317] *
"3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Telecommunication management; Generic Network Resource Model (NRM) Integration Reference Point (IRP); Information Service (IS) (Release 16)", 23 September 2021 (2021-09-23), XP052053546, Retrieved from the Internet <URL:https://ftp.3gpp.org/3guInternal/3GPP_ultimate_versions_to_be_transposed/sentToDpc/28622-g90.zip 28622-g90.docx> [retrieved on 20210923] *
INTEL ET AL: "pCR 28.105 Enhance NRMs for AI/ML model training", vol. SA WG5, no. E-meeting; 20220404 - 20220412, 25 March 2022 (2022-03-25), XP052196961, Retrieved from the Internet <URL:https://ftp.3gpp.org/tsg_sa/WG5_TM/TSGS5_142e/Docs/S5-222181.zip S5-222181 pCR 28.105 Enhance NRMs for AI-ML model training.doc> [retrieved on 20220325] *
INTEL: "pCR 28.104 Add ML support for MDA", vol. SA WG5, no. E-meeting; 20211011 - 20211020, 1 October 2021 (2021-10-01), XP052065656, Retrieved from the Internet <URL:https://ftp.3gpp.org/tsg_sa/WG5_TM/TSGS5_139e/Docs/S5-215380.zip S5-215380 pCR 28.104 Add ML support for MDA.doc> [retrieved on 20211001] *
See also references of WO2023114017A1 *

Also Published As

Publication number Publication date
WO2023114017A1 (en) 2023-06-22
EP4449689A1 (en) 2024-10-23
CN117716674A (en) 2024-03-15

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