A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction

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

Authors of the publication

Number of authors
6
Authors
Koralege, Ishan Rangajith; De Sena, Arthur Sousa; Mahmood, Nurul Huda; Karim, Farjam; Lesthuruge, Dimuthu; Gunarathne, Samitha

Publication channel information

Title of host publication
Proceedings of the Second SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2024
Editors of host publication
Juuso, Esko et al.
ISBN (electronic)
978-91-8075-984-7
Name of conference
SIMS EUROSIM Conference on Simulation and Modelling
Title of journal/series
Linköping electronic conference proceedings
ISSN (print)
1650-3686
ISSN (electronic)
1650-3740
ISSN (linking)
1650-3686
Publisher
Linköping university electronic press
Publication forum ID
84304
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series issue number
212
Page numbers
441-447
DOI
10.3384/ecp212.060
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Link to online publication
https://doi.org/10.3384/ecp212.060
Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202502211779

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
Channel prediction; deep neural network; machine learning; reconfigurable intelligent surface; transformer

Funding information

Funding information in the publication
The research leading to this paper was supported by the Re-search Council of Finland (former Academy of Finland) 6G Flagship program (Grant Number: 346208), and Business Finland’s 6GBridge program through the projects Local 6G (Grant Number8002/31/2022) and 6CORE (Grant Number 8410/31/2022)
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Funder
Business Finland
Name of funding
-
Funding decision
-