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China Communications

Performance analysis of physical layer security over α-η-κ-μ fading channels

Shaobo Jia, Jiayan Zhang, Honglin Zhao, Yao Xu

Published Nov 1, 2018• 18 citations
Publisher

Abstract

In this paper, we consider the secure data transmission over α-η-κ-μ fading channels, which are recently proposed to encompass nearly all the well-known statistical models adopted in the literature. In particular, we address the secrecy performance in terms of the average secrecy capacity (ASC) and the secrecy outage probability (SOP), for which novel analytical expressions are derived. Simulation results verify the analysis and demonstrate the impact of the physical parameters on the secrecy performance of this new channel fading model.

DOI
10.1109/cc.2018.8543055

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On Physical Layer Security of α\alphaα -η\etaη -κ\kappaκ -μ\muμ Fading Channels
In this letter, we study the secrecy performance of the classic Wyner's wiretap model, where the main and eavesdropper channels are modeled by a general and versatile α-η-κ-μ fading model. Novel and exact expressions of the average secrecy capacity and secrecy outage probability have been derived. Previous results on physical layer security can be obtained through our newly derived expressions by specializing the model parameters. More importantly, the derived results are also applicable for the secrecy performance analysis of some field measurements (e.g., in millimeter wave communications), which cannot be analyzed by previous results.
In this paper, the physical layer security aspects of a wireless framework over α−κ−μ shadowed (AKMS) fading channel are examined by acquiring closed-form novel expressions of average secrecy capacity, secure outage probability (SOP), and strictly positive secrecy capacity. The lower bound of SOP is derived along with the asymptotic expression of SOP at the high signal-to-noise ratio regime in order to achieve secrecy diversity gain. Capitalizing on these expressions, the consequences due to the simultaneous occurrence of fading and shadowing are quantified. Finally, Monte-Carlo simulations are demonstrated to assess the correctness of the expressions.
Abstract Physical layer security is a feasible solution to improve wireless communication secrecy against eavesdropping threats. Within this framework, this work examines the secrecy performance of a wireless link subjected to eavesdropping over generalized composite fading environments, specifically using the α-η-µ/Lognormal and α-κ-µ/Lognormal distributions. Closed-form results are derived for key secrecy performance metrics, including the average secrecy capacity (ASC), a lower bound on the secrecy outage probability SOPL, and the probability of strictly positive secrecy capacity (SPSC). Additionally, asymptotic analyses of ASC, SOPL, and SPSC are presented in the high-SNR regime to yield simplified insights into system behavior. The analysis accommodates arbitrary and independent fading conditions for the main and eavesdropper channels, thereby enabling a comprehensive evaluation of the impact of various channel parameters. Ultimately, all analytical outcomes are corroborated using comprehensive Monte Carlo simulations, affirming their precision and relevance.
Secrecy Analysis of Physical Layer over κ−μκ-μκ−μ Shadowed Fading Scenarios
In this paper, the secrecy analysis of physical layer when both the main and wiretap channels undergo κ−μκ-μκ−μ shadowed fading channel is investigated. In particular, the average secrecy capacity (ASC), secure outage probability (SOP), the lower bound of SOP (SOPL^LL), and the probability of strictly positive secrecy capacity (SPSC) are derived by using the classic Wyner's wiretap model. Two different scenarios for the fading parameters, i.e., μμμ and mmm which represents the shadowing impact have been studied. These parameters are chosen first as arbitrary numbers, thus the performance metrics are expressed in single infinite series with multivariate Meijer GGG-function. In the second scenario, both the aforementioned fading parameters are assumed to be integer numbers in order to obtain the derived results in simple exact closed-form analytic mathematically tractable expressions. The numerical results of this analysis are verified via Monte Carlo simulations.