Symbol-Level Physical Layer Security Design in Space-Air-Ground Integrated Networks

In the down-link secure space-air-ground integrated network (SAGIN) with practical discrete modulation symbols, we consider the joint design of the power of satellite and unmanned aerial vehicle (UAV) swarm beamforming to combat a formidable eavesdropper intercepting both the satellite-to-UAV and UAV-to-ground communication links. Given the challenge posed by the discrete symbols-based joint optimization problem, the security mechanism for SAGIN is developed through alternating optimization. Specifically, the optimal power of satellite is first determined with a fixed UAV beamformer. Based on this power, we propose a pair of solution approaches: convex optimization-based iteration (CObI) and heuristics-based semi-analytic iteration (HbSAI). The former focuses on achieving high performance while the latter emphasizes efficiency. The effectiveness of both CObI and HbSAI methods is validated through simulation results, demonstrating their ability to enhance the achievable secrecy rate.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-02-26
DOI
https://doi.org/10.1109/tvt.2025.3546317
Citations
3
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
14.98

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article

Symbol-Level Physical Layer Security Design in Space-Air-Ground Integrated Networks

Guiyang Xia, Xiaobo Zhou, Feng Shu, Qi Shi et al.
3 citations
IEEE Transactions on Vehicular Technology
Satellite Communication Systems
14.98
article

Symbol-Level Physical Layer Security Design in Space-Air-Ground Integrated Networks

Guiyang Xia, Xiaobo Zhou, Feng Shu, Qi Shi, Xiaosong Hu
article en
3 citations

Abstract

In the down-link secure space-air-ground integrated network (SAGIN) with practical discrete modulation symbols, we consider the joint design of the power of satellite and unmanned aerial vehicle (UAV) swarm beamforming to combat a formidable eavesdropper intercepting both the satellite-to-UAV and UAV-to-ground communication links. Given the challenge posed by the discrete symbols-based joint optimization problem, the security mechanism for SAGIN is developed through alternating optimization. Specifically, the optimal power of satellite is first determined with a fixed UAV beamformer. Based on this power, we propose a pair of solution approaches: convex optimization-based iteration (CObI) and heuristics-based semi-analytic iteration (HbSAI). The former focuses on achieving high performance while the latter emphasizes efficiency. The effectiveness of both CObI and HbSAI methods is validated through simulation results, demonstrating their ability to enhance the achievable secrecy rate.

IEEE Transactions on Vehicular TechnologyVol. 74(7)
Anhui University (CN), Hainan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 2%
Satellite Communication Systems
14.98
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