Physical-Layer Security in AmBC-NOMA Networks With Random Eavesdroppers

In this work, we investigate the physical layer security (PLS) of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA) networks where non-colluding eavesdroppers (Eves) are randomly distributed. In the proposed system, a base station (BS) transmits a superimposed signal to a typical NOMA user pair, while a backscatter device (BD) simultaneously transmits its unique signal by reflecting and modulating the BS’s signal. Meanwhile, Eves passively attempt to wiretap the ongoing transmissions. Notably, the number and locations of Eves are unknown, posing a substantial security threat to the system. To address this challenge, the BS injects artificial noise (AN) to mislead the Eves, and a protected zone is employed to create an Eve-exclusion area around the BS. Theoretical expressions for outage probability (OP) and intercept probability (IP) are provided to evaluate the system’s reliability-security trade-off. Asymptotic behavior at high signal-to-noise ratio (SNR) is further explored, including the derivation of diversity orders for the OP. Numerical results validate the analytical findings through extensive simulations, demonstrating that both the AN injection and protected zone can effectively enhance PLS. Furthermore, analysis and insights of different key parameters, including transmit SNR, reflection efficiency at the BD, power allocation coefficient, power fraction allocated to desired signal, Eve-exclusion area radius, Eve distribution density, and backscattered AN cancellation efficiency, on OP and IP are also provided.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-04-03
DOI
https://doi.org/10.1109/jiot.2025.3557167
Citations
2
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Physical-Layer Security in AmBC-NOMA Networks With Random Eavesdroppers

Min Huang, Theodoros A. Tsiftsis, Yingyang Chen, Xinyue Pei et al.
2 citations
IEEE Internet of Things Journal
Advanced Wireless Communication Technologies
1.46
article

Physical-Layer Security in AmBC-NOMA Networks With Random Eavesdroppers

Min Huang, Theodoros A. Tsiftsis, Yingyang Chen, Xinyue Pei, Xingwei Wang, Xiaofan Li
article en
2 citations

Abstract

In this work, we investigate the physical layer security (PLS) of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA) networks where non-colluding eavesdroppers (Eves) are randomly distributed. In the proposed system, a base station (BS) transmits a superimposed signal to a typical NOMA user pair, while a backscatter device (BD) simultaneously transmits its unique signal by reflecting and modulating the BS’s signal. Meanwhile, Eves passively attempt to wiretap the ongoing transmissions. Notably, the number and locations of Eves are unknown, posing a substantial security threat to the system. To address this challenge, the BS injects artificial noise (AN) to mislead the Eves, and a protected zone is employed to create an Eve-exclusion area around the BS. Theoretical expressions for outage probability (OP) and intercept probability (IP) are provided to evaluate the system’s reliability-security trade-off. Asymptotic behavior at high signal-to-noise ratio (SNR) is further explored, including the derivation of diversity orders for the OP. Numerical results validate the analytical findings through extensive simulations, demonstrating that both the AN injection and protected zone can effectively enhance PLS. Furthermore, analysis and insights of different key parameters, including transmit SNR, reflection efficiency at the BD, power allocation coefficient, power fraction allocated to desired signal, Eve-exclusion area radius, Eve distribution density, and backscattered AN cancellation efficiency, on OP and IP are also provided.

IEEE Internet of Things JournalVol. 12(12)
University of Thessaly (GR), Jinan University (CN), Northeastern University (CN)
Openalex Percentile: Top 18%
Advanced Wireless Communication Technologies
1.46
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