Enhancing Secrecy Performance of Full-Duplex Relaying Systems Using IRS and RSMA

This paper proposes a secure wireless system that integrates rate-splitting multiple access (RSMA), intelligent reflecting surfaces (IRS), and full-duplex relaying (FDR) to enhance secrecy performance against multiple colluding eavesdroppers. Closed-form expressions for the secrecy outage probabilities (SOPs) and average secrecy capacities (ASCs) of both common and private messages are derived. Comparative analysis with a baseline RSMA-FDR system (without IRS) demonstrates the benefits of IRS in improving secrecy. Numerical results reveal that RSMA-IRS-FDR achieves superior secrecy performance, with SOPs and ASCs strongly influenced by transmission power, particularly differing between message types. Moreover, the adverse effect of residual self-interference (RSI) is substantially mitigated in the IRS-aided system. The secrecy performance is further enhanced by increasing the number of IRS elements. The study also investigates the impact of key parameters such as power allocation, target secrecy rate, fading order, Wi-Fi frequency, and number of eavesdroppers, offering practical insights for secure RSMA-IRS-FDR system design.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-08-18
DOI
https://doi.org/10.1109/tmc.2025.3599513
Citations
5
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
3.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Secrecy Performance of Full-Duplex Relaying Systems Using IRS and RSMA

Bá Cao Nguyễn, Tran Manh Hoang, Le The Dung, Thong‐Nhat Tran et al.
5 citations
IEEE Transactions on Mobile Computing
Wireless Communication Security Techniques
3.65
article

Enhancing Secrecy Performance of Full-Duplex Relaying Systems Using IRS and RSMA

Bá Cao Nguyễn, Tran Manh Hoang, Le The Dung, Thong‐Nhat Tran, Phuong T. Tran, Taejoon Kim
article en
5 citations

Abstract

This paper proposes a secure wireless system that integrates rate-splitting multiple access (RSMA), intelligent reflecting surfaces (IRS), and full-duplex relaying (FDR) to enhance secrecy performance against multiple colluding eavesdroppers. Closed-form expressions for the secrecy outage probabilities (SOPs) and average secrecy capacities (ASCs) of both common and private messages are derived. Comparative analysis with a baseline RSMA-FDR system (without IRS) demonstrates the benefits of IRS in improving secrecy. Numerical results reveal that RSMA-IRS-FDR achieves superior secrecy performance, with SOPs and ASCs strongly influenced by transmission power, particularly differing between message types. Moreover, the adverse effect of residual self-interference (RSI) is substantially mitigated in the IRS-aided system. The secrecy performance is further enhanced by increasing the number of IRS elements. The study also investigates the impact of key parameters such as power allocation, target secrecy rate, fading order, Wi-Fi frequency, and number of eavesdroppers, offering practical insights for secure RSMA-IRS-FDR system design.

IEEE Transactions on Mobile ComputingVol. 25(1)
FPT University (VN), Ton Duc Thang University (VN), Chungbuk National University (KR), University of Khanh Hoa (VN), Ho Chi Minh City University of Technology and Engineering (VN)
Openalex Percentile: Top 7%
Wireless Communication Security Techniques
3.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Secrecy Performance of Full-Duplex Relaying Systems Using IRS and RSMA — Bá Cao Nguyễn, Tran Manh Hoang, et al. · IEEE Transactions on Mobile Computing (2025) | TGRS Research Map | TGRS