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Extract from the Register of European Patents

EP About this file: EP3884582

EP3884582 - END-TO-END LEARNING IN COMMUNICATION SYSTEMS [Right-click to bookmark this link]
StatusGrant of patent is intended
Status updated on  17.03.2024
Database last updated on 28.06.2024
FormerRequest for examination was made
Status updated on  26.02.2024
FormerGrant of patent is intended
Status updated on  21.12.2023
FormerRequest for examination was made
Status updated on  27.08.2021
FormerThe international publication has been made
Status updated on  30.05.2020
Formerunknown
Status updated on  07.12.2018
Most recent event   Tooltip17.03.2024New entry: Communication of intention to grant a patent 
Applicant(s)For all designated states
Nokia Technologies Oy
Karakaari 7
02610 Espoo / FI
[2021/39]
Inventor(s)01 / HOYDIS, Jakob
47 Rue Sarrette
75014 Paris / FR
02 / AIT AOUDIA, Faycal
3 Parc de la Bérengère
92210 Saint-Cloud / FR
 [2021/39]
Representative(s)Whiting, Gary, et al
Venner Shipley LLP
5 Stirling House
Stirling Road The Surrey Research Park
Guildford GU2 7RF / GB
[2021/39]
Application number, filing date18808005.523.11.2018
[2021/39]
WO2018EP82454
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2020104045
Date:28.05.2020
Language:EN
[2020/22]
Type: A1 Application with search report 
No.:EP3884582
Date:29.09.2021
Language:EN
The application published by WIPO in one of the EPO official languages on 28.05.2020 takes the place of the publication of the European patent application.
[2021/39]
Search report(s)International search report - published on:EP28.05.2020
ClassificationIPC:H04B1/00, G06N3/04, H04B1/40
[2021/39]
CPC:
H04B1/40 (EP,US); H04B1/0003 (EP,US); G06N3/045 (EP,US);
G06N3/08 (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 [2021/39]
TitleGerman:END-TO-END-LERNEN IN KOMMUNIKATIONSSYSTEMEN[2021/39]
English:END-TO-END LEARNING IN COMMUNICATION SYSTEMS[2021/39]
French:APPRENTISSAGE DE BOUT EN BOUT DANS DES SYSTÈMES DE COMMUNICATION[2021/39]
Entry into regional phase18.05.2021National basic fee paid 
18.05.2021Designation fee(s) paid 
18.05.2021Examination fee paid 
Examination procedure18.05.2021Examination requested  [2021/39]
18.05.2021Date on which the examining division has become responsible
20.12.2021Amendment by applicant (claims and/or description)
22.12.2023Communication of intention to grant the patent
23.02.2024Disapproval of the communication of intention to grant the patent by the applicant or resumption of examination proceedings by the EPO
18.03.2024Communication of intention to grant the patent
Fees paidRenewal fee
18.05.2021Renewal fee patent year 03
10.11.2021Renewal fee patent year 04
13.10.2022Renewal fee patent year 05
29.09.2023Renewal fee patent year 06
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Cited inInternational search[IA]  - SEBASTIAN D\"ORNER ET AL, "Deep Learning-Based Communication Over the Air", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20170711), doi:10.1109/JSTSP.2017.2784180, XP081279898 [I] 1-4,7-20 * II. End-to-end learning of communication systems - IV. Results; page 2, column l - page 7, column l; figures 2, 3, 4,5 * [A] 5,6

DOI:   http://dx.doi.org/10.1109/JSTSP.2017.2784180
 [IA]  - TIMOTHY J O'SHEA ET AL, "An Introduction to Machine Learning Communications Systems", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20170202), XP080746465 [I] 1-4,7-20 * II: Examples of machine learning applications for the physical layer - C. CNN's for classification needs; page 4, column l - page 7, column l; figures 1, 2, 5 * [A] 5,6
 [IA]  - Timothy O'shea ET AL, "An Introduction to Deep Learning for the Physical Layer", IEEE Transactions on Cognitive Communications and Networking, doi:10.1109/TCCN.2017.2758370, (20171201), pages 563 - 575, URL: https://arxiv.org/pdf/1702.00832.pdf, XP055569291 [I] 1-4,7-20 * III. Examples of machine learning applications for hte physical layer.; page 4, column r - page 6, column l; figures 1-4 * [A] 5,6

DOI:   http://dx.doi.org/10.1109/TCCN.2017.2758370
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.