Secrecy Performance Analysis of AN-Assisted Multi-Antenna Symbiotic Radio Communication Systems

Author First name, Last name, Institution

• Rong Wang, School of Electrical and Information Engineering
• Shaobo Jia, School of Electrical and Information Engineering
• Di Zhang, Sun Yat-Sen University
• Yao Xu, Nanjing University of Information Science & Technology
• Pengyu Du, Hanjiang National Laboratory
• Anwer Al-Dulaimi, Zayed University, Abu Dhabi CampusFollow
• Shahid Mumtaz, Nottingham Trent University

Document Type

Article

Source of Publication

IEEE Transactions on Wireless Communications

Publication Date

1-1-2026

Abstract

Symbiotic radio (SR) has emerged as a spectrum and energy-efficient paradigm to support massive Internet of Things connections. This paper investigates secure transmission in a multi-antenna artificial noise (AN)-assisted SR network under both parasitic SR (PSR) and commensal SR (CSR) setups, with a particular focus on the challenges posed by the presence of a passive eavesdropper. Specifically, the transmitter allocates part of its power for AN generation to disrupt the eavesdropper deliberately without affecting the legitimate receiver. To evaluate the secrecy performance in both setups, new approximate closed-form expressions for the secrecy outage probability in primary and backscatter links are derived using the Gauss-Chebyshev quadrature method. The secrecy diversity orders of the system are studied by analyzing the asymptotic behaviours in the high signal-to-noise ratio regime. Furthermore, the secrecy performance under imperfect channel state information is investigated to evaluate the robustness of the proposed scheme in practical scenarios. Monte Carlo simulations are performed to validate the correctness and effectiveness of the analytical results, which demonstrate that the CSR setup provides stronger secrecy performance than the PSR setup in primary signal decoding.

DOI Link

10.1109/twc.2026.3692640

ISSN

1536-1276

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

25

First Page

17132

Last Page

17148

Disciplines

Computer Sciences

Keywords

artificial noise, physical layer security, secrecy outage probability, Symbiotic radio

Scopus ID

105039670726

Recommended Citation

Wang, Rong; Jia, Shaobo; Zhang, Di; Xu, Yao; Du, Pengyu; Al-Dulaimi, Anwer; and Mumtaz, Shahid, "Secrecy Performance Analysis of AN-Assisted Multi-Antenna Symbiotic Radio Communication Systems" (2026). All Works. 8232.
https://zuscholars.zu.ac.ae/works/8232

Indexed in Scopus

yes

Open Access

no