重庆邮电大学学报（自然科学版）2017，Vol.29Issue(5)：633-641,9.DOI:10.3979/j.issn.1673-825X.2017.05.009
混合ADCs大规模MIMO放大转发中继系统安全性能分析
Secrecy performance analysis of massive MIMO amplify-and-forward relaying systems with mixed-ADCs
摘要
Abstract
In order to improve the energy efficiency and secrecy performance of massive multiple-input multiple-output (MIMO) relaying systems,this paper proposes a novel massive MIMO amplify-and-forward (AF) relaying system where the mixed analog-to-digital converters (ADCs) scheme is employed.In proposed system,the total antennas at relay are divided into two independent parts,one of which includes Mo antennas with medium-resolution ADCs only requiring 5 ～ 12 quantization bits,the remainder of which consists of M1 antennas with 1-bit low-resolution ADCs.For the massive MIMO AF relaying system,by using the random matrix theory,the total secrecy outage rate is derived firstly.Then,based on modeled energy consumption model,the secrecy energy efficiency (SEE) is derived.The presented simulations and numerical results show that in the mixed-ADCs-based massive MIMO AF relaying system,it is reasonable to replace the high-resolution ADCs with medium-resolution ADCs.The novel scheme improves the system SEE greatly,but has limited effect on system's secrecy outage performance.For the effect of the transmission power of sources,the results show that there exists an optimal value of the source power at which the SEE is optimal.Besides this,the effect of the ratio of the antenna numbers Mo and M1 is investigated.关键词
大规模多输入多输出/中继/模数转换器/物理层安全/安全能量效率Key words
massive MIMO/relay/analog-to-digital converters/physical layer secrecy/secrecy energy efficiency分类
信息技术与安全科学引用本文复制引用
周猛,贾向东,颉满刚,焦金良,纪珊珊,杨正..混合ADCs大规模MIMO放大转发中继系统安全性能分析[J].重庆邮电大学学报（自然科学版）,2017,29(5):633-641,9.基金项目
国家自然科学基金(61261015,61561043) （61261015,61561043）
2014年甘肃省属普通高校基本科研业务费专项资金项目“面向5G的Massive MIMO毫米波段信道建模及其估计”The National Natural Science Foundation of China (61261015,61561043) （61261015,61561043）
The Fundamental Research Fund for 2014 Gansu Provincial Colleges and Universities "Massive MIMO channels modeling and estimation over millimeter wave band for 5G" （）
