What question did this study set out to answer?

To optimize physical-layer security and maximize the secrecy rate in space–ground communication networks using dual reconfigurable intelligent surfaces.

March 31, 2023IEEE Internet of Things JournalOpen Access

Secrecy-Rate Optimization of Double RIS-Aided Space–Ground Networks

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To optimize physical-layer security and maximize the secrecy rate in space–ground communication networks using dual reconfigurable intelligent surfaces.
Formulated secrecy rate maximization problems for space–ground networks deploying either a double-RIS or a single-RIS configuration.
Developed alternating optimization algorithms to jointly compute the ground station beamforming vector and RIS phase-shift reflecting vectors.
Applied first-order Taylor expansion and Dinkelbach's method to transform nonconvex fractional programming problems into solvable convex approximations.
Demonstrated that the double-RIS architecture significantly improves physical-layer security compared to the single-RIS benchmark scheme.
Achieved higher secrecy transmission rates through the coordinated optimization of two distributed reflecting surfaces alongside ground beamforming.

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Implication

Modeling study demonstrates enhanced physical-layer security in space–ground networks using dual intelligent surfaces, highlighting superior secrecy rates over single-surface configurations.

Cite This Study

Hoang et al. (2023) studied this question.

synapsesocial.com/papers/6a9a19db8f299c2f31c1a8fd https://doi.org/10.1109/jiot.2023.3262481

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Implication

Modeling study demonstrates enhanced physical-layer security in space–ground networks using dual intelligent surfaces, highlighting superior secrecy rates over single-surface configurations.

Secrecy-Rate Optimization of Double RIS-Aided Space–Ground Networks

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Discussion

Implication

Cite This Study

Secrecy-Rate Optimization of Double RIS-Aided Space–Ground Networks

Key Points

Discussion

Implication

Cite This Study

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