Efficient Channel Prediction for Beyond Diagonal RIS-Assisted MIMO Systems with Channel Aging
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 transactions on vehicular technology
ISSN (print)
0018-9545
ISSN (electronic)
1939-9359
ISSN (linking)
0018-9545
Publisher
IEEE
Publication forum ID
57585
Publication forum level
3
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Journal/series volume number
[Epub ahead of print 28 Mar 2025]
Page numbers
1-15
DOI
10.1109/tvt.2025.3556277
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
Autoregressive processes; beyond diagonal reconfigurable intelligent surfaces; channel aging; channel estimation; convolutional neural network; Tucker2 decomposition
Funding information
Funding information in the publication
This work was supported by 6G Flagship (Grant Number 369116) funded by the Research Council of Finland.
Source database ID
Scopus ID
2-s2.0-105001509922