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在NOMA IRS大规模的MIMO网络中,具有干扰的Ergodic保密率和中断概率
Min Zhu1, Hamid Gholizadeh Fard2, Bahar Hazrati3
1Collage of Information Science and Technology, Zhejiang Shuren University, Hangzhou 310015, China.
Scientific reports
|July 7, 2025
概括
本研究探讨了使用智能可重新配置表面 (IRS) 和非正交多重访问 (NOMA) 的无线系统中的物理层安全性. 整合IRS显著提高了安全性,提高了Ergodic保密率 (ESR) 和降低了保密中断概率 (SOP).
科学领域:
- 无线通信无线通信
- 信息安全 信息安全
- 信号处理 信号处理
背景情况:
- 大规模的MIMO系统提供了增强的容量,但面临着安全挑战.
- 非直角多重访问 (NOMA) 提高了光谱效率,但可能引入安全漏洞.
- 智能重配置表面 (IRS) 正在成为操纵无线环境的工具.
研究的目的:
- 为了调查一个无线系统的物理层安全性,使用大规模的MIMO,NOMA和IRS.
- 分析国税局和干扰器对系统机密性的影响.
- 导出Ergodic保密率 (ESR) 和保密中断概率 (SOP) 的封闭式表达式.
主要方法:
- 使用大规模MIMO的基站 (BS) 进行系统建模,为近远NOMA用户提供服务.
- 整合一个智能可重新配置表面 (IRS) 进行信号增强.
- 用于保密性评估的ESR和SOP的数学推导.
主要成果:
- 美国国税局的整合指数级增强ESR和减少SOP.
- 干扰器的存在可以提高网络效率.
- 大规模的天线阵列放大信号噪声比 (SNR),进一步改善ESR并减少SOP.
结论:
- 在基于NOMA的大规模MIMO系统中,IRS是加强物理层安全性的强大工具.
- 干扰机制可以有效地用于增强网络安全.
- 大规模的MIMO配置大大有助于提高保密性能.
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