DocumentCode
2978892
Title
A Simple and Optimum Geometric Decoding Algorithm for MIMO Systems
Author
Shao, Z.Y. ; Cheung, S.W. ; Yuk, T.I.
Author_Institution
Univ. of Hong Kong, Hong Kong
fYear
2009
fDate
11-13 Feb. 2009
Firstpage
1
Lastpage
5
Abstract
Geometric decoding (GD) is a newly proposed decoding technique for multiple-input multiple-output (MIMO) transmission over the fading channels. With a complete search on all symbol vectors in the lattice structure, GD requires about the same decoding complexity to achieve the same optimum block-error rates (BLERs) as that of ML decoding. In this paper, we propose a simple implementation of GD for optimum decoding of MIMO transmission. The GD decoder uses the channel matrix to construct a hyper paraboloid and the zero forcing solution to obtain a hyper ellipsoid projected from the hyper paraboloid. It then restricts the search among the symbol vectors within the hyper ellipsoid. Computer simulation studies on 2times2, 3times3 and 4times4 MIMO systems transmitting 8PAM and 16QAM show that the proposed GD algorithm can achieve the same BLERs as those of the ML decoders, yet having complexity reduction of more than 90%.
Keywords
MIMO communication; computational complexity; error statistics; fading channels; geometric codes; matrix algebra; maximum likelihood decoding; search problems; MIMO system; ML decoding; PAM; QAM; block-error rate; channel matrix; computational complexity; fading channel; hyper ellipsoid; hyper paraboloid; lattice structure; multiple-input multiple-output transmission; optimum geometric decoding algorithm; search problem; symbol vector; zero forcing solution; Channel capacity; Computer simulation; Decision feedback equalizers; Ellipsoids; Fading; Lattices; MIMO; Maximum likelihood decoding; Quadrature amplitude modulation; Receiving antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Pervasive Computing, 2009. ISWPC 2009. 4th International Symposium on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-2965-3
Electronic_ISBN
978-1-4244-2966-0
Type
conf
DOI
10.1109/ISWPC.2009.4800560
Filename
4800560
Link To Document