Title :
Convergence of Gaussian belief propagation over a ring-type graphical model
Author_Institution :
Dept. of Electron. & Electr. Eng., Dankook Univ., Yongin, South Korea
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);
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
DOI :
10.1109/APCC.2012.6388239
