Title
Density evolution-based analysis and design of LDPC codes with a priori information
Abstract
In this paper, we consider multiple access schemes with correlated sources, where a priori information, in terms of source correlation, is available at the access point (AP). In particular, we assume that each source uses a proper low-density parity-check (LDPC) code to transmit, through an additive white Gaussian noise (AWGN) channel, its information sequence to the AP. At the AP, the information sequences are recovered by an iterative decoder, with component decoders associated with the sources, which exploit the available a priori information. In order to analyze the behaviour of the considered multiple access coded system, we propose a density evolution-based approach, which allows to determine a signal-to-noise ratio (SNR) transfer chart and compute the system multi-dimensional SNR feasible region. The proposed technique, besides characterizing the performance of LDPC-coded multiple access scheme, is expedient to design optimized LDPC codes for this application.
Year
DOI
Venue
2010
10.1109/ITA.2010.5454106
ITA
Keywords
Field
DocType
signal-to-noise ratio transfer chart,joint channel decoding (jcd),iterative decoder,low density parity check code,ldpc codes,awgn channels,additive white gaussian noise channel,correlated sources,multi-access systems,density evolution,multidimensional snr feasible region,optimized ldpc codes,density evolution-based analysis,access point,wireless sensor networks,parity check codes,multiple access schemes,decoding,multiple access coded system,ldpc-coded multiple access scheme,low density parity check,awgn,systematics,ldpc code,correlation,signal to noise ratio,additive white gaussian noise,design optimization,wireless sensor network
Mathematical optimization,Low-density parity-check code,Computer science,A priori and a posteriori,Signal-to-noise ratio,Algorithm,Communication channel,Theoretical computer science,Feasible region,Decoding methods,Additive white Gaussian noise,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-1-4244-7014-3
0
0.34
References 
Authors
21
5
Name
Order
Citations
PageRank
Marco Martalò114422.01
Gianluigi Ferrari21690139.36
Andrea Abrardo337647.39
Michele Franceschini473438.32
Riccardo Raheli566359.68