一种混合算法模型,用于增强智能反射表面辅助无线通信的安全性
1School of Electronics Engineering, Vellore Institute of Technology University, Chennai, Tamil Nadu, India.
PeerJ. Computer science
|February 20, 2026
概括
本研究介绍了SGP-DARE,这是使用智能反射表面 (IRS) 实现无线网络安全的新框架. 它提高了物理层的安全性和能源效率,即使硬件限制和移动性.
科学领域:
- 无线通信网络是无线通信网络.
- 物理层的安全性是物理层的安全性.
- 智能反射表面 (IRS) 是指一个智能反射表面.
背景情况:
- 无线网络面临来自道不确定性和移动性的安全挑战.
- 智能反射表面 (IRS) 为增强无线通信安全提供了一个有希望的解决方案.
- 现有的优化方法可能会在硬件限制和动态环境下扎.
研究的目的:
- 引入一种新的混合优化框架SGP-DARE,用于在IRS支持的无线网络中增强物理层安全性.
- 为应对道状态信息 (CSI) 不确定性和用户流动性所带来的挑战.
- 在硬件限制下优化基站光束成形和IRS相位移.
主要方法:
- 开发了协同梯度投影 (SGP) 用于低复杂度的关节优化.
- 综合动态适应性风险扩展 (DARE) 以应对不确定性的稳定性.
- 考虑了硬件限制,例如相位定量化.
主要成果:
- SGP-DARE有效地将秘密中断的可能性降到最低.
- 该框架显示了能源效率的提高.
- 模拟显示了与基线方法相比显著的性能增长.
结论:
- 在无线网络中,SGP-DARE为物理层安全提供了强大而高效的解决方案.
- 在实际限制下,混合方法成功地平衡了安全性和效率.
- 这一框架促进了IRS在安全无线通信中的应用.
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