DocumentCode
2625833
Title
Convergence of Gaussian belief propagation over a ring-type graphical model
Author
Yoon, Seokhyun
Author_Institution
Dept. of Electron. & Electr. Eng., Dankook Univ., Yongin, South Korea
fYear
2012
fDate
15-17 Oct. 2012
Firstpage
906
Lastpage
907
Abstract
We consider the joint MIMO detection algorithm based on ring-type Pair-wise Markov random fields (MRF) in [1] for Gaussian input to obtain the Gaussian BP that is run over the ring-type MRF and proves its convergence in mean to the linear MMSE estimates. The result lies on the same line of those in [2] and [3], but with differences in its graphical model and the message passing rule.
Keywords
Gaussian distribution; MIMO communication; Markov processes; least mean squares methods; Gaussian belief propagation; Gaussian input; joint MIMO detection; linear MMSE estimates; message passing rule; ring-type graphical model; ring-type pair-wise Markov random fields; Belief propagation; Convergence; Detection algorithms; Graphical models; MIMO; Signal to noise ratio; Vectors; Belief propagation (BP); Graph-based detection; Markov random field (MRF);
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location
Jeju Island
Print_ISBN
978-1-4673-4726-6
Electronic_ISBN
978-1-4673-4727-3
Type
conf
DOI
10.1109/APCC.2012.6388239
Filename
6388239
Link To Document