DocumentCode :
2087346
Title :
Finite lattice-size effects in MIMO detection
Author :
Studer, C. ; Seethaler, D. ; Bolcskei, H.
Author_Institution :
Integrated Syst. Lab., ETH Zurich, Zurich
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
2032
Lastpage :
2037
Abstract :
Many powerful data detection algorithms employed in multiple-input multiple-output (MIMO) communication systems, such as sphere decoding (SD) and lattice-reduction (LR)-aided detection, were initially designed for infinite lattices. Detection in MIMO systems is, however, based on finite lattices. In this paper, we systematically study the consequences of finite lattice-size for the performance and complexity of MIMO detection algorithms formulated for infinite lattices. Specifically, we find, considering performance and complexity, that LR does not seem to offer advantages when used in conjunction with SD.
Keywords :
MIMO communication; communication complexity; decoding; matrix algebra; maximum likelihood detection; MIMO detection; data detection algorithms; finite lattice-size effects; lattice-reduction; multiple-input multiple-output communication; sphere decoding; Algorithm design and analysis; Channel state information; Decoding; Detection algorithms; Electronic mail; Laboratories; Lattices; MIMO; Performance loss; Receiving antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074789
Filename :
5074789
Link To Document :
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