Asymptotic MIMO artificial-noise secrecy rates with eigenmode partitioning

Author

Harper, Andrew D. ; Baxley, Robert J.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

2014

Firstpage

78

Lastpage

83

Abstract

In a multiple-input multiple-output (MIMO) wiretap channel system, it has been shown that artificial noise can be transmitted in the null space of the main channel to guarantee the secrecy at the intended receiver. Previous formulas for MIMO asymptotic capacity assume that all channel eigenmodes will be utilized. However, optimizing over possible antenna configurations requires partitioning the available eigenmodes. With only some eigenmodes used for signal transmission, finding an exact closed-form asymptotic solution is, in general, intractable. We present a large-scale MIMO approximation with eigenmode partitioning, accurate for realistic numbers of antennas, and with greatly reduced computational complexity.

Keywords

MIMO communication; antenna arrays; approximation theory; computational complexity; eigenvalues and eigenfunctions; radio receivers; MIMO asymptotic capacity; antenna configurations; asymptotic MIMO artificial noise secrecy rates; channel eigenmodes; computational complexity; eigenmode partitioning; intended receiver; large-scale MIMO approximation; multiple-input multiple-output wiretap channel; null space; signal transmission; Approximation methods; MIMO; Security; Signal to noise ratio; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Forensics and Security (WIFS), 2014 IEEE International Workshop on

Type

conf

DOI

10.1109/WIFS.2014.7084307

Filename

7084307