Title :
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
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;
Conference_Titel :
Information Forensics and Security (WIFS), 2014 IEEE International Workshop on
DOI :
10.1109/WIFS.2014.7084307
