Peak-to-average Power Ratio Reduction Algorithm of Artificial-noise-aided Secure Signal

被引：4
作者：
Hong Tao [1 ]
Zhang Gengxin [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
来源：
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY | 2018年 / 40卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Wireless communication; Physical layer security; Artificial Noise (AN) aided; Power allocation; Convex optimization;
D O I：
10.11999/JEIT170739
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：
The research of improving the Secrecy Capacity (SC) of wireless communication system using Artificial Noise (AN) is one of the classics models in the field of physical layer security communication. Considering the Peak-to-Average Power Ratio (PAPR) problem of transmit signal, a power allocation of AN subspaces algorithm is proposed to reduce the PAPR of transmit signal based on convex optimization. This algorithm utilizes a series of convex optimization problems to approach the nonconvex PAPR optimization problem based on fractional programming, Difference of Convex (DC) functions programming and nonconvex quadratic equality constraint transformation. Simulation results show that the proposed algorithm reduce the PAPR value of transmit signal to improve the communication performance of legitimate user compared with benchmark problems.
引用
收藏
页码：1426 / 1432
页数：7
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