Factor Graph Based Joint Detection/Decoding for LDPC Coded Large-MIMO Systems

In this paper, we employ message passing algorithms over graphical models to jointly detect and decode symbols transmitted over large multiple-input multiple-output (MIMO) channels with low density parity check (LDPC) coded bits. We adopt a factor graph based technique to integrate the detection and...

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Bibliographic Details
Published in:2012 IEEE 75th Vehicular Technology Conference (VTC Spring) pp. 1 - 5
Main Authors: Narasimhan, T. L., Chockalingam, A., Rajan, B. S.
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2012
Subjects:
Decoding
Iterative decoding
Joints
Message passing
MIMO
Receivers
ISBN:9781467309899, 1467309893
ISSN:1550-2252
Online Access:Get full text
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Summary:In this paper, we employ message passing algorithms over graphical models to jointly detect and decode symbols transmitted over large multiple-input multiple-output (MIMO) channels with low density parity check (LDPC) coded bits. We adopt a factor graph based technique to integrate the detection and decoding operations. A Gaussian approximation of spatial interference is used for detection. This serves as a low complexity joint detection/decoding approach for large dimensional MIMO systems coded with LDPC codes of large block lengths. This joint processing achieves significantly better performance than the individual detection and decoding scheme.
ISBN:9781467309899
1467309893
ISSN:1550-2252
DOI:10.1109/VETECS.2012.6240094