Robust energy efficiency optimization for secrecy MIMO systems with SWIPT

被引：0
|
作者：
Yang G. [1 ]
Qiu H. [1 ,2 ]
机构：
[1] School of Telecommunications Engineering, Xidian Univ., Xi'an
[2] School of Info. and Communication, Guilin Univ. of Electronic Tech., Guilin
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2018年 / 45卷 / 06期
关键词：
Physical-layer security; Secrecy energy efficiency; Simultaneous wireless information and power transfer;
D O I：
10.3969/j.issn.1001-2400.2018.06.006
中图分类号：
学科分类号：
摘要：
This paper investigates the secrecy energy efficiency optimization for simultaneous wireless information and power transfer in the multiple-input-multiple-output wiretapping system which consists of multiple eavesdroppers (Eves). In the presence of imperfect channel estimation,the beamforming matrix, the artificial noise covariance matrix and the power splitting ratio are jointly designed to maximize the worst-case secrecy energy efficiency under the maximum transmit power and the minimum harvested energy constraints. Due to the non-convexity of this problem, the objective function is recast into an equivalent parametric problem by exploiting the fractional programming theory, and then the non-convex equivalent problem is approximated as a convex optimization problem by means of the S-Procedure and first order Taylor series expansion. Furthermore, a two level optimization iterative algorithm is proposed based on the Dinkelbach method. Finally, simulation results are provided to show the effectiveness and convergence of the proposed algorithm. © 2018, The Editorial Board of Journal of Xidian University. All right reserved.
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页码：31 / 37
页数：6
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