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基于混合精度ADC的大规模MIMO中继系统物理层安全性能研究
Research on Physical Layer Security Performance of Massive MIMO Relay System Based on Mixed-ADC

查看参考文献26篇

文摘 研究多天线窃听者场景基于混合精度模数转换器(Analog-to-Digital Converter,ADC)大规模多输入多输出(Multiple Input Multiple Output,MIMO)中继系统,中继将接收到的信号放大转发,通过在基站采用最大比合并接收信号,推导出合法用户与窃听者的频谱效率表达式,最终得出系统保密频谱效率表达式.根据能量效率定义建立功耗模型,推导保密能量效率表达式,并分析保密频谱效率和保密能量效率之间的平衡关系,进而揭示基站天线数、ADC量化位数等参数对物理层安全性能的影响.仿真结果表明,随着窃听者天线数增多,窃听能量增强,保密频谱效率会减小; ADC量化位数为4时,在保证保密频谱效率的同时也能得到较高的保密能量效率.
其他语种文摘 The multi-antenna eavesdropper scenario based on a mixed-precision analog-to-digital converter massive MIMO(Multiple Input Multiple Output) relay system is studied,where the relay amplifies and forwards the received signal. Using maximum ratio to combine the received signals at the base station, the expressions of spectral efficiency of legitimate users and eavesdroppers are derived, and the expression of secrecy spectral efficiency of the system is obtained. Based on the definition of energy efficiency,a power consumption model is established. The expression of secrecy energy efficiency is derived. And the tradeoff between the secrecy spectral efficiency and the secrecy energy efficiency is analyzed. It further reveals the influence of parameters such as the number of base station antennas and the number of ADC(Analog-to-Digital Converter) quantization bits on the physical layer security performance. The simulation results show that as the number of eavesdropper antennas increases and eavesdropping energy increases, the secrecy spectral efficiency will decrease. When the number of ADC quantization bits is 4, it can also obtain a higher secrecy energy efficiency,while ensuring the secrecy spectral efficiency.
来源 电子学报 ,2021,49(6):1142-1150 【核心库】
DOI 10.12263/DZXB.20200217
关键词 大规模MIMO ; 混合模数转换器 ; 放大转发 ; 保密频谱效率 ; 保密能量效率
地址

华东交通大学电气与自动化工程学院, 江西, 南昌, 330013

语种 中文
文献类型 研究性论文
ISSN 0372-2112
学科 电子技术、通信技术
基金 国家自然科学基金 ;  江西省杰出青年人才计划 ;  江西省自然科学基金
文献收藏号 CSCD:7018846

参考文献 共 26 共2页

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引证文献 2

1 唐容 低精度ADC下大规模多输入多输出系统基于三对角迭代法的软输出信号检测 信号处理,2022,38(5):1056-1064
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2 张世铂 安全雾计算物联网的联合资源配置方法 通信学报,2023,44(7):2023134
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