Machine Learning-Based Channel Prediction for RIS-Assisted MIMO Systems with Channel Aging
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
2024 IEEE Wireless Communications and Networking Conference (WCNC)
ISBN (print)
979-8-3503-0359-9
ISBN (electronic)
979-8-3503-0358-2
Name of conference
IEEE Wireless Communications and Networking Conference
Title of journal/series
IEEE Wireless Communications and Networking Conference
ISSN (print)
1525-3511
ISSN (electronic)
1558-2612
ISSN (linking)
1525-3511
Publisher
IEEE
Publication forum ID
57592
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2024
Article number
10570599
DOI
10.1109/wcnc57260.2024.10570599
Language of publication
English
Co-publication information
International co-publication
No
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
Reconfigurable intelligent surfaces; channel estimation; channel aging; Autoregressive processes; CNN
Funding information
Funding information in the publication
This research was supported by the Research Council of Finland (former Academy of Finland) 6G Flagship Programme (Grant Number: 346208).
Source database ID
WoS ID
WOS:001268569300096
Scopus ID
2-s2.0-85198834173