DocumentCode :
1372759
Title :
Generalised singular value decompositionbased algorithm for multi-user multiple-input multiple-output linear precoding and antenna selection
Author :
Park, Jongho ; Chun, Jung-Hoon ; Park, Heejung
Author_Institution :
Div. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
4
Issue :
16
fYear :
2010
Firstpage :
1899
Lastpage :
1907
Abstract :
Multi-user multiple-input multiple-output (MU-MIMO) linear precoding utilising generalised singular value decomposition (GSVD) is proposed. The authors precoding scheme maximises the signal-to-leakage and noise ratio (SLNR), so that it does not require any iteration to obtain precoding/decoding matrices, a feature that distinguishes it from previous signal to interference and noise ratio (SINR) maximising precoding schemes. The SLNR maximising precoding weight may be obtained by the generalised eigenvalue decomposition (GEVD). However, the covariance matrix whose GEVD is computed becomes near singular as the signal-to-noise ratio goes high. To overcome this numerical problem, the proposed precoding scheme avoids any matrix inversion and matrix `squaring` operations, removing redundant computational loads, and consequently saves computational resources and improves numerical accuracy. To further improve the system performance, an efficient antenna selection scheme using the GSVD is also proposed. The scheme does not require an exhaustive search to choose an active antenna set.
Keywords :
MIMO communication; antennas; eigenvalues and eigenfunctions; precoding; radiofrequency interference; singular value decomposition; antenna selection; decoding matrices; generalised eigenvalue decomposition; generalised singular value decomposition-based algorithm; matrix inversion; matrix squaring operations; multiuser multiple-input multiple-output linear precoding; precoding matrices; signal to interference and noise ratio; signal-to-leakage and noise ratio;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2009.0623
Filename :
5624656
Link To Document :
بازگشت