Article (Scientific journals)
STAR-RIS-Enhanced NOMA-Aided Overlay Multiuser Cognitive Satellite-Terrestrial Networks with Discrete Phase Shifts Design
SINGH, Vibhum; Solanki, Sourabh; Palisetty, Rakesh et al.
2025In IEEE Transactions on Aerospace and Electronic Systems, 61 (5), p. 15065-15076
Peer Reviewed verified by ORBi
 

Files


Full Text
STAR-RIS-Enhanced_NOMA-Aided_Overlay_Multiuser_Cognitive_Satellite-Terrestrial_Networks_With_Discrete_Phase_Shifts_Design.pdf
Publisher postprint (1.46 MB) Creative Commons License - Attribution
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Discrete phase shifts design; hybrid satellite-terrestrial networks; ipSIC; non-orthogonal multiple access; overlay cognitive radio; STAR-RIS; Aerospace Engineering; Electrical and Electronic Engineering
Abstract :
[en] Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) enhance the flexibility and performance of RIS by extending traditional 180◦ half-space coverage to a full 360◦. Motivated by this, we explore a STARRIS assisted overlay cognitive satellite-terrestrial network (OCSTN) with multiple users. In this setup, a primary satellite source communicates with terrestrial primary receivers (PRs) using nonorthogonal multiple access (NOMA), while a decode-and-forwardbased secondary transmitter (ST) facilitates primary communications in exchange for spectrum access. A STAR-RIS further aids the ST by simultaneously transmitting and reflecting superposed signals to enhance both primary and secondary communications.The analysis incorporates practical considerations, including imperfect successive interference cancellation (ipSIC) in the NOMA and overlay system, as well as quantization errors introduced by the discrete phase shifts of STAR-RIS elements. For terrestrial Nakagami-m fading and satellite shadowed-Rician fading, we derive exact and asymptotic outage probability expressions and ergodic rate bounds for primary and secondary networks. The numerical and simulation results demonstrate that the STAR-RIS-assisted OCSTN consistently achieves superior performance compared to standalone OCSTN benchmarks across key performance metrics.
Precision for document type :
Review article
Disciplines :
Electrical & electronics engineering
Author, co-author :
SINGH, Vibhum ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Solanki, Sourabh;  National Institute of Technology Warangal, Department of ECE, India
Palisetty, Rakesh;  Shiv Nadar Institution of Eminence, Deemed to be University, Department of Electrical Engineering, Delhi NCR, India
Rojas, Carlos Luis Marcos;  University of Luxembourg, Interdisciplinary Centre for Security Reliability and Trust (SnT), Luxembourg City, Luxembourg
VASQUEZ-PERALVO, Juan Andres ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Merlano-Duncan, Juan Carlos;  University of Luxembourg, Interdisciplinary Centre for Security Reliability and Trust (SnT), Luxembourg City, Luxembourg
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ottersten, Bjorn;  University of Luxembourg, Interdisciplinary Centre for Security Reliability and Trust (SnT), Luxembourg City, Luxembourg
External co-authors :
yes
Language :
English
Title :
STAR-RIS-Enhanced NOMA-Aided Overlay Multiuser Cognitive Satellite-Terrestrial Networks with Discrete Phase Shifts Design
Publication date :
29 May 2025
Journal title :
IEEE Transactions on Aerospace and Electronic Systems
ISSN :
0018-9251
eISSN :
1557-9603
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
61
Issue :
5
Pages :
15065-15076
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Development Goals :
9. Industry, innovation and infrastructure
FnR Project :
FNR16352790 - ARMMONY - Ground-based Distributed Beamforming Harmonization For The Integration Of Satellite And Terrestrial Networks., 2021 (01/06/2022-31/05/2025) - Juan Merlano Duncan
Available on ORBilu :
since 03 July 2025

Statistics


Number of views
84 (4 by Unilu)
Number of downloads
25 (1 by Unilu)

Scopus citations®
 
3
Scopus citations®
without self-citations
3
OpenCitations
 
0
OpenAlex citations
 
2

Bibliography


Similar publications



Contact ORBilu