Secrecy Performance of a Non-Orthogonal Multiple Access-Based Space–Air–Ground Integrated Network System with Stochastic Geometry Distribution of Terrestrial Terminals and Fog Absorption in Optical Link

Recently, non-orthogonal multiple access (NOMA)-based space–air–ground integrated networks (SAGINs) have gained increasing attention due to their robust communication, broader coverage, and resource-saving advantages. However, it is imperative to consider physical layer security as a crucial perform...

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Bibliographic Details
Published inAerospace Vol. 11; no. 4; p. 306
Main Authors Wang, Xuhui, He, Jinyu, Xu, Guanjun, Chen, Jiajia, Gao, Yuhan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2024
Subjects
Absorption
Business metrics
Fading channels
Fog
fog absorption
Geometry
Influence
Investigations
Monte Carlo method
Monte Carlo simulation
non-orthogonal multiple access
Nonorthogonal multiple access
Performance evaluation
physical layer security
Radio frequency
Satellite communications
Simulation methods
space–air–ground integrated network
stochastic geometry distribution
Unmanned aerial vehicles
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Summary:Recently, non-orthogonal multiple access (NOMA)-based space–air–ground integrated networks (SAGINs) have gained increasing attention due to their robust communication, broader coverage, and resource-saving advantages. However, it is imperative to consider physical layer security as a crucial performance metric in NOMA-based SAGINs. This study addresses this concern by constructing a NOMA-based free space optical (FSO)/radio frequency (RF) dual-hop SAGIN system with eavesdroppers on both links. The two new fading channel models were proposed, considering the FSO link’s fog absorption and the RF link’s stochastic distribution based on Málaga and shadowed Rician distributions. The closed-form expressions for the secrecy outage probability are derived for the SAGIN system. Monte Carlo simulations were conducted to validate the theoretical findings. The results revealed the influence of fog absorption and the stochastic geometry distribution on the SAGIN system.
ISSN:2226-4310
2226-4310
DOI:10.3390/aerospace11040306