Antenna Selection Method of Maximizing Secrecy Rate for Green Secure Spatial Modulation

被引:31
作者
Xia, Guiyang [1 ]
Shu, Feng [1 ,2 ]
Zhang, Yijin [1 ,3 ]
Wang, Jianxin [1 ]
ten Brink, Stephan [4 ]
Speidel, Joachim [4 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China
[2] Fujian Agr & Forestry Univ, Sch Comp & Informat, Fuzhou 350002, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210018, Peoples R China
[4] Univ Stuttgart, Inst Telecommun, D-70569 Stuttgart, Germany
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2019年 / 3卷 / 02期
基金
中国国家自然科学基金;
关键词
Spatial modulation; active antenna group (AAG); selection; secure transmission; finite-alphabet inputs;
D O I
10.1109/TGCN.2019.2898442
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In secure spatial modulation systems, an active antenna-group (AAG) selection of maximizing the average secrecy rate (SR) is proposed to avoid the disadvantage that conventional AAG selection scheme of minimizing bit error ratio at desired receiver may lead to a substantial SR loss. However, due to the limited active antenna pattern and finite-alphabet inputs, it is very hard for us to optimize the SR without closed-form expression. To address the two issues, first, by exploiting the relationship between minimum mean-square error and mutual information, the expression of SR in the low signal-to-noise ratio (SNR) region is derived. Using the expression, the problem of maximizing SR (Max-SR), called Max-SR I, is converted to integer programming problem. In the high SNR region, we derive an asymptotical lower bound for SR, and find the fact that the Max-SR can be reduced to maximizing the difference of Bob's minimum Euclidean distance and Eve's one, called Max-SR II. Through this conclusion, we can find the relationship between SR and bit-error rate. Furthermore, Max-SR III is proposed to overcome the disadvantage of the SR performance loss for the above two asymptotical algorithms in the moderate SNR region, where an approximate expression is exploited as the efficient metric to design AAG. Numerical results show that the SR performance of the proposed Max-SR III is close to that of optimal exhaustive search method, and the Max-SR I and Max-SR II can achieve acceptable SR performance with extremely low complexity.
引用
收藏
页码:288 / 301
页数:14
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