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