Extract from the Register of European Patents

EP About this file: EP4197218

EP4197218 - COMMUNICATION SYSTEM FOR MACHINE LEARNING METADATA [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  06.03.2026
Database last updated on 19.03.2026
FormerThe patent has been granted
Status updated on  28.03.2025
FormerGrant of patent is intended
Status updated on  05.02.2025
FormerRequest for examination was made
Status updated on  19.05.2023
FormerThe international publication has been made
Status updated on  21.02.2022
Most recent event   Tooltip13.03.2026Lapse of the patent in a contracting state
New state(s): RO
published on 15.04.2026 [2026/16]
Applicant(s)For all designated states
Nokia Technologies Oy
Karakaari 7
02610 Espoo / FI
[2025/18]
Former [2023/25]For all designated states
Nokia Technologies Oy
Karakaari 7
02610 Espoo / FI
Inventor(s)01 / PANTELIDOU, Anna
91300 Massy / FR
02 / SARTORI, Cinzia
82049 Pullach / DE
03 / TOMALA, Malgorzata
54-513 Wroclaw / PL
04 / HELMERS, Hakon
92330 Sceaux / FR
 [2023/25]
Representative(s)Script Intellectual Property LLP
Suite J, Anchor House
School Close
Chandlers Ford
Eastleigh, Hampshire SO53 4DY / GB
[2025/18]
Former [2023/25]Mills, Elizabeth Rose, et al
Page White & Farrer Services
Bedford House
21A John Street
London WC1N 2BF / GB
Application number, filing date20949472.311.08.2020
[2023/25]
WO2020FI50524
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2022034259
Date:17.02.2022
Language:EN
[2022/07]
Type: A1 Application with search report 
No.:EP4197218
Date:21.06.2023
Language:EN
The application published by WIPO in one of the EPO official languages on 17.02.2022 takes the place of the publication of the European patent application.
[2023/25]
Type: B1 Patent specification 
No.:EP4197218
Date:30.04.2025
Language:EN
[2025/18]
Search report(s)International search report - published on:FI17.02.2022
(Supplementary) European search report - dispatched on:EP15.04.2024
ClassificationIPC:H04W24/02, H04W8/22, H04W72/04, H04W36/00, H04L41/00, G06N20/00
[2023/25]
CPC:
G06N20/00 (EP,US); H04W36/0033 (US); H04W24/02 (EP);
H04W36/0005 (EP); H04W36/0083 (EP,US)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2023/25]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:KOMMUNIKATIONSSYSTEM FÜR METADATEN VON MASCHINELLEM LERNEN[2023/25]
English:COMMUNICATION SYSTEM FOR MACHINE LEARNING METADATA[2023/25]
French:SYSTÈME DE COMMUNICATION POUR MÉTADONNÉES D'APPRENTISSAGE AUTOMATIQUE[2023/25]
Entry into regional phase10.03.2023National basic fee paid 
10.03.2023Search fee paid 
10.03.2023Designation fee(s) paid 
10.03.2023Examination fee paid 
Examination procedure10.03.2023Examination requested  [2023/25]
04.11.2024Amendment by applicant (claims and/or description)
04.11.2024Date on which the examining division has become responsible
06.02.2025Communication of intention to grant the patent
20.03.2025Fee for grant paid
20.03.2025Fee for publishing/printing paid
20.03.2025Receipt of the translation of the claim(s)
Opposition(s)02.02.2026No opposition filed within time limit [2026/15]
Fees paidRenewal fee
10.03.2023Renewal fee patent year 03
05.07.2023Renewal fee patent year 04
04.07.2024Renewal fee patent year 05
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Lapses during opposition  TooltipAT30.04.2025
BG30.04.2025
CZ30.04.2025
DK30.04.2025
EE30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
LV30.04.2025
NL30.04.2025
PL30.04.2025
RO30.04.2025
SK30.04.2025
SM30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
IS30.08.2025
PT01.09.2025
[2026/16]
Former [2026/10]AT30.04.2025
BG30.04.2025
CZ30.04.2025
DK30.04.2025
EE30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
LV30.04.2025
NL30.04.2025
PL30.04.2025
SK30.04.2025
SM30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
IS30.08.2025
PT01.09.2025
Former [2026/09]AT30.04.2025
BG30.04.2025
CZ30.04.2025
DK30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
LV30.04.2025
NL30.04.2025
PL30.04.2025
SM30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
IS30.08.2025
PT01.09.2025
Former [2026/08]AT30.04.2025
BG30.04.2025
DK30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
LV30.04.2025
NL30.04.2025
PL30.04.2025
SM30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
IS30.08.2025
PT01.09.2025
Former [2025/49]AT30.04.2025
BG30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
LV30.04.2025
NL30.04.2025
PL30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
IS30.08.2025
PT01.09.2025
Former [2025/48]AT30.04.2025
BG30.04.2025
ES30.04.2025
FI30.04.2025
HR30.04.2025
NL30.04.2025
PL30.04.2025
NO30.07.2025
GR31.07.2025
RS31.07.2025
PT01.09.2025
Former [2025/47]BG30.04.2025
ES30.04.2025
FI30.04.2025
NL30.04.2025
PL30.04.2025
NO30.07.2025
GR31.07.2025
PT01.09.2025
Former [2025/46]ES30.04.2025
FI30.04.2025
PT01.09.2025
Documents cited:Search[XA] WO2019172813  (ERICSSON TELEFON AB L M et al.) [X] 1,6,11 * page 12 - page 14; figure 3 *[A] 2-5,7-10,12-15
 [A] US2019019106  (DRISCOLL CHINY et al.) [A] 1-15 * paragraph [0006] - paragraph [0008] *
 [A]   MASOOD USAMA ET AL: "Deep Learning Based Detection of Sleeping Cells in Next Generation Cellular Networks", 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), IEEE, 9 December 2018 (2018-12-09), pages 206 - 212, XP033519851, DOI: 10.1109/GLOCOM.2018.8647689 [A] 1-15 * page 1 *

DOI:   http://dx.doi.org/10.1109/GLOCOM.2018.8647689
International search[X] US2019171978  (BONAWITZ KEITH et al.) [X] 1, 8, 14, 20-25 * abstract; paragraphs [0005], [0018], [0021]-[0023], [0030]-[0035], [0039]-[0048], [0055]-[0058]; figs. 1A-1C, 2 *
 [X] US2016302128  (ANCHAN KIRANKUMAR BHOJA et al.) [X] 1, 8, 14, 20-25 * abstract; paragraphs [0119]-[0121], [0128], [0133]-[0134], [0142]-[0151]; figs. 7A, 14 *
 [A] WO2019226670  (NEURALA INC et al.) [A] 1-25 * the whole document, in particular abstract; paragraphs [0007]-[0015], [0047]-[0048], [0055]; figs. 1-2 *
 [X]   ITU-T: "Framework for data handling to enable machine learning in future networks including IMT-2020, Y.3174, SERIES Y: GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS, NEXT-GENERATION NETWORKS, INTERNET OF THINGS AND SMART CITIE S", ITU-T Y.3174(02/2020), February 2020 (2020-02-01), Geneva, Switzerland, XP055908411, Retrieved from the Internet [retrieved on 20210125] [X] 1-25 * , the whole document, in particular sections 3.2, 6 - 8; figs. 6-1, 8-1, 8-5, 1.1 *
 [A]   EDITORS: "Draft new Supplement 55 to ITU-T Y.3170-series (former ITU-T Y.ML-IMT2020- Use-Cases): “Machine learning in future networks including IMT-2020: use cases” – for approval", 3GPP DRAFT; S4-200017, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, no. Geneva; 20191014 - 20191025, 8 January 2020 (2020-01-08), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France , XP051843048 [A] 1-25 * , the whole document, in particular sections 6.1.7.2.3, 6.2.1.2.2, 6.4.1.1, 6.4.7.2.2 *
by applicantWO2019172813
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