Predictive Closed-Loop Remote Control Over Wireless Two-Way Split Koopman Autoencoder
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
IEEE internet of things journal
ISSN (electronic)
2327-4662
ISSN (linking)
2327-4662
Publisher
IEEE
Publication forum ID
80232
Publication forum level
2
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2022
Bibliographical publication year
2022
Reporting year
2022
Journal/series volume number
9
Journal/series issue number
23
Page numbers
23285-23301
DOI
10.1109/jiot.2022.3206415
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
6G; autoencoder (AE); beyond fifth-generation (5G); Koopman theory; remote control; split learning
Funding information
Funding information in the publication
10.13039/501100002341-Academy of Finland 6G Flagship (Grant Number: 318927 and SMARTER); Project EU-ICT IntellIoT and EU-CHISTERA LeadingEdge; Project CONNECT, Infotech-NOOR, and NEGEIN; 10.13039/501100003725-National Research Foundation of Korea (NRF); 10.13039/501100003621-Korea Government (MSIT) (Grant Number: 2022R1F1A1075078)
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Source database ID
WoS ID
WOS:000904931000001
Scopus ID
2-s2.0-85139447570