DocumentCode :
3219857
Title :
Dimension-ordered MIMO list sphere decoding
Author :
Medra, Mostafa ; El-Khamy, Mostafa ; El Kamchouchi, H.M.
Author_Institution :
Electr. Eng. Dept., Alexandria Univ., Alexandria, Egypt
fYear :
2012
fDate :
17-20 June 2012
Firstpage :
110
Lastpage :
114
Abstract :
In this paper, several techniques are proposed to reduce the complexity of sphere decoding of multiple-input multiple-output (MIMO) codes without compromising its near ML performance. We show that by appropriate re-ordering of the search dimensions, the MIMO detection complexity can be significantly reduced. A simple technique is also proposed to make the sphere decoding complexity less sensitive to the initial search radius. These approaches are also shown to provide significant reductions in the complexity of list sphere decoders, which can be deployed as soft-output MIMO decoders.
Keywords :
MIMO communication; maximum likelihood decoding; MIMO detection complexity; dimension-ordered MIMO list sphere decoding; multiple-input multiple-output code; near ML performance; soft-output MIMO decoder; Complexity theory; Lattices; MIMO; Maximum likelihood decoding; Quadrature amplitude modulation; Vectors; MIMO detection; Schnor-Euchner; dimension ordering; list decoding; sphere decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on
Conference_Location :
Cesme
ISSN :
1948-3244
Print_ISBN :
978-1-4673-0970-7
Type :
conf
DOI :
10.1109/SPAWC.2012.6292867
Filename :
6292867
Link To Document :
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