Coordinated Beamforming and Artificial Noise in the Downlink Secure Multi-Cell MIMO Systems Under Imperfect CSI

被引：10

作者：

Bai, Juan ^{[1
]}

Dong, Tao ^{[1
]}

Zhang, Qin ^{[1
]}

Wang, Shiqiang ^{[1
]}

Li, Na ^{[2
]}

机构：

[1] Air Force Engn Univ, Air & Missile Def Coll, Xian 710051, Peoples R China

[2] Beijing Univ Posts & Telecommun, Wireless Technol Innovat Inst, Beijing 100876, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 07期

基金：

中国国家自然科学基金;

关键词：

MIMO communication; Interference; Downlink; Channel estimation; Array signal processing; Precoding; Physical layer; Artificial noise (AN); coordinated beamforming (CBf); large system analysis; physical layer security; regularized channel inversion (RCI);

D O I：

10.1109/LWC.2020.2979175

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we consider the problem of secure communication in the downlink of a multi-cell multiple-input multiple-output (MIMO) system under imperfect channel state information (CSI) at the base stations (BSs). The passive eavesdroppers are considered, whose CSI are unavailable at the BSs. Coordinated Beamforming (CBf) and artificial noise (AN) are employed for secrecy enhancement. Based on regularized channel inversion (RCI) precoding, we derive a novel closed-form expression of secrecy sum-rate in the large-system regime. Based on the result, the regularization parameter and the power allocation ratio between the information signal and AN are optimized. Compared to the perfect CSI case, it shows that the channel estimation error can drastically reduce the secrecy sum-rate, and more power needs to be allocated for AN when the channel estimation error grows larger. The analytical results are validated with the finite-size system by simulation.

引用

页码：1023 / 1026

页数：4