Artificial Noise Aided Secure Transmission in Dense Heterogeneous Cellular Networks with Imperfect Channel State Information

被引：0

作者：

Xu Yunjia ^{[1
]}

Huang Kaizhi ^{[1
]}

Li Jun ^{[2
]}

Chen Yajun ^{[1
]}

机构：

[1] Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Henan, Peoples R China

[2] Zhongxing Telecommun Equipment Corp, Shanghai 200000, Peoples R China

来源：

JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY | 2018年 / 40卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Dense heterogeneous cellular networks; Physical layer security; Channel estimation error; Artificial Noise (AN);

D O I：

10.11999/JEIT180003

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To ensure secure transmission in dense heterogeneous cellular networks with imperfect Channel State Information (CSI), the influence of Artificial Noise (AN) on secure and reliable communication is analyzed, and a power split factor optimization model is presented to obtain the optimal value under different channel estimation accuracy. First, the connection outage probability and secrecy outage probability are deduced by considering the influence of channel estimation error on signal transmission and AN leakage. Then, a power split factor optimization model is presented, which maximizes the secrecy throughput subject to the security and reliability requirements. A K-dimensional search method is employed to solve the optimal power split factor of each tier. Finally, the numerical results verify that the AN transmission scheme with optimal power split factor can increase secrecy throughput by about 15%.

引用

页码：2323 / 2330

页数：8

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