Supervised Learning Based Sparse Channel Estimation For RIS Aided Communications
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
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN (print)
978-1-6654-0541-6
ISBN (electronic)
978-1-6654-0540-9
Name of conference
IEEE International Conference on Acoustics, Speech and Signal Processing
Title of journal/series
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
ISSN (print)
1520-6149
ISSN (electronic)
2379-190X
ISSN (linking)
1520-6149
Publisher
IEEE
Publication forum ID
57409
Publication forum level
1
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2022
Bibliographical publication year
2022
Reporting year
2022
Page numbers
8827-8831
DOI
10.1109/icassp43922.2022.9746793
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
intelligent reflecting surfaces; mmWave communications; channel estimation; sparse recovery; super-vised learning
Funding information
Funding information in the publication
This work was supported by the Academy of Finland 6Genesis Flagship (grant 318927).
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Source database ID
WoS ID
WOS:000864187909028
Scopus ID
2-s2.0-85131227286