Data detection based on matrix decomposition for massive MIMO systems in realistic channel scenarios
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
Physical communication
ISSN (print)
1874-4907
ISSN (electronic)
1876-3219
ISSN (linking)
1874-4907
Publisher
Elsevier
Publication forum ID
71276
Publication forum level
1
Country of publication
Netherlands
Internationality
Yes
Detailed publication information
Publication year
2023
Reporting year
2023
Journal/series volume number
57
Article number
101982
DOI
10.1016/j.phycom.2022.101982
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
Massive MIMO; Matrix decomposition; Approximate-inversion detection; QUAsi Deterministic RadIo channel GenerAtor (QuaDRiGa)
Funding information
Funding information in the publication
This research has been financially supported by the Seed Research Project No. 22020403209, University of Sharjah.
Source database ID
WoS ID
WOS:000924945300001
Scopus ID
2-s2.0-85145979535