相关实验视频
Updated: Jul 21, 2025

16:17
The ITS2 Database
Published on: March 12, 2012
30.9K
对联合ITS和IRS授权系统的加权总量保密率最大化
Shaochuan Yang1,2, Kaizhi Huang1, Hehao Niu3
1Wireless Communication Technology Office, Information Engineering University, Zhengzhou 450001, China.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
这项研究介绍了一个智能表面辅助的安全通信网络,以提高保密性. 拟议的方法优化光束成形和功率分配,以提高多用户系统的安全性和能源效率.
科学领域:
- 无线通信无线通信
- 信息安全 信息安全
- 超材料是什么?超材料是什么?
背景情况:
- 安全的通信网络对于数据隐私至关重要.
- 现有系统在提高保密性方面面临挑战,特别是在多用户环境中.
- 智能表面为信号操纵和能源效率提供了新的解决方案.
研究的目的:
- 为了研究一个新的智能表面辅助多用户多输入单输出多窃听器 (MU-MISOME) 安全通信网络.
- 通过优化传输功率,智能传输表面 (ITS) 束形和智能反射表面 (IRS) 相位移,最大限度地提高加权总量保密率 (WSSR).
- 开发一个有效的算法来解决复杂的优化问题.
主要方法:
- 制定一个WSSR最大化问题.
- 使用连续凸近似 (SCA) 技术将目标函数近似为凸.
- 使用交替优化 (AO) 算法结合Karush-Kuhn-Tucker (KKT) 条件,乘数交替方向方法 (ADMM) 和大化-最小化 (MM) 来解决子问题.
主要成果:
- 提出的连续凸近似 (SCA) 和交替优化 (AO) 算法有效地解决了WSSR最大化问题.
- 使用KKT,ADMM和MM技术实现了部分问题的闭式解决方案.
- 模拟结果表明,拟议方案的收性和高度保密性.
结论:
- 智能表面辅助MU-MISOME网络显著提高了通信安全性.
- 开发的优化框架和算法提供了一种高效的方法来最大限度地提高保密率和能源效率.
- 这项研究为未来的安全无线通信系统提供了有希望的方向.
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