DocumentCode :
2611859
Title :
Factor Graph Based Joint Detection/Decoding for LDPC Coded Large-MIMO Systems
Author :
Narasimhan, T. Lakshmi ; Chockalingam, A. ; Rajan, B. Sundar
Author_Institution :
Dept. of ECE, Indian Inst. of Sci., Bangalore, India
fYear :
2012
fDate :
6-9 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
Gaussian processes; MIMO communication; communication complexity; decoding; graph theory; message passing; parity check codes; radiofrequency interference; wireless channels; Gaussian approximation; LDPC coded bits; LDPC coded large-MIMO system; MIMO channel; block length; factor graph; graphical model; large dimensional MIMO system; low complexity joint detection/decoding approach; low density parity check coded bits; message passing algorithm; multiple-input multiple-output channel; spatial interference; symbol decoding; symbol detection; Decoding; Iterative decoding; Joints; MIMO; Message passing; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2012.6240094
Filename :
6240094
Link To Document :
بازگشت