Abstract

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.

Highlights

  • Multipath fading and shadowing are two common effects in practical wireless scenarios that are liable for the degradation of propagated wireless signals

  • The authors are showing their intense interest in the physical layer security (PLS) issue that utilizes the time-varying property of fading channels to enhance the information security [1,2,3,4,5,6] rather than utilizing the classical cryptography approaches

  • Practical scenarios experience fading and shadowing simultaneously, the research gaps in these existing works are addressed in this paper via tackling the impact of both on secrecy performance over α − κ − μ shadowed (AKMS) fading model

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Summary

Introduction

Multipath fading and shadowing are two common effects in practical wireless scenarios that are liable for the degradation of propagated wireless signals. As generalized channels exhibit precedence over multipath fading channels, security over κ − μ and κ − μ shadowed fading channel was analyzed in [3,4] showing some classical models as special cases. Practical scenarios experience fading and shadowing simultaneously, the research gaps in these existing works are addressed in this paper via tackling the impact of both (fading and shadowing) on secrecy performance over α − κ − μ shadowed (AKMS) fading model. The existing models in [1,2,3,4,5] can be obtained as a special case of the proposed model in this work This model unifies the performance evaluation of all classical multipath models such as Nakagami-m, Rician, Nakagami-q, Weibull, etc.

System model where Ai
Channel model
Novelty of this work
Numerical results
Conclusion where I1
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