Secrecy analysis of collaborative NOMA networks with IQI

• Published in: Physical communication Vol. 64; p. 102337
• Main Authors: Sun, Jiangfeng, Zhang, Zihan, Tu, Juan, Zeng, Yanyang, Li, Xingwang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2024
• Subjects: Elman neural network; In-phase and quadrature-phase imbalance; Non-orthogonal multiple access; Physical layer security; In-phase and quadrature-phase imbalance; Physical layer security; Non-orthogonal multiple access; Elman neural network
• ISSN: 1874-4907; 1876-3219
• DOI: 10.1016/j.phycom.2024.102337

This paper studies the secrecy performance of collaborative non-orthogonal multiple access (NOMA) systems over κ–μ shadowed distribution with in-phase and quadrature-phase imbalance (IQI). The analytical expressions for outage probability (OP), intercept probability (IP), secure outage probability (SOP), and strictly positive secrecy capacity (SPSC) are derived relying on the NOMA eavesdropping model. Moreover, the Monte Carlo simulation perfectly coincides with the theoretical derivation, which confirms the accuracy of academic results. The numerical analysis indicates that IQI reduces reliability but enhances the secrecy of relaying NOMA networks. Additionally, the increase of kN or the decrease of μS can weaken the antijamming capability, whereas reducing mS or mE will strengthen the confidentiality. Furthermore, to realize real-time secrecy analysis, we investigate the anti-interference ability of the relaying system by the Elman neural network. Compared to other algorithms, the prediction accuracy is improved by 56.4% on average, and the runtime is decreased.