DocumentCode :
2523122
Title :
Improved MIMO SIC Detection Exploiting ML Criterion
Author :
Choi, Ji-Woong ; Lee, Jungwon ; Lou, Hui-Ling ; Park, Jongsun
Author_Institution :
Dept. of Inf. & Commun. Eng., Daegu Gyeongbuk Inst. of Sci. & Technol. (DGIST), Daegu, South Korea
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams.
Keywords :
MIMO communication; communication complexity; interference suppression; maximum likelihood detection; MIMO SIC detection; MIMO successive interference cancellation; ML criterion; maximum likelihood criterion; Complexity theory; Detectors; Lattices; MIMO; Signal to noise ratio; Silicon carbide; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6093071
Filename :
6093071
Link To Document :
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