Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems
Approved
Classifications
MinEdu publication type
A2 Review article in a scientific journal (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Review 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
Internationality
Yes
Detailed publication information
Publication year
2026
Bibliographical publication year
2026
Reporting year
2026
Journal/series volume number
13
Journal/series issue number
6
Page numbers
10379-10406
DOI
10.1109/JIOT.2026.3652234
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Classification and additional information
MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics, 116 Chemical sciences
Keywords
Deep learning; Deep unfolding; Model-driven machine learning; Wireless communication signal processing; Integrated sensing and communication (ISAC); Intelligent reflecting surfaces (IRS); Terahertz; IoT
Additional information
[Epub ahead of print 12 Jan 2026]
Source database ID
WoS ID
WOS:001708171500045
Scopus ID
2-s2.0-105027653922
Other database ID
IEEE: 11343762