Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Joint Source-Channel Decoding of Correlated Sources over Noisy Channels
DCC '01 Proceedings of the Data Compression Conference
LDGM codes for channel coding and joint source-channel coding of correlated sources
EURASIP Journal on Applied Signal Processing
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Design and analysis of turbo codes on Rayleigh fading channels
IEEE Journal on Selected Areas in Communications
Joint turbo decoding and estimation of hidden Markov sources
IEEE Journal on Selected Areas in Communications
Correlated sources over wireless channels: cooperative source-channel coding
IEEE Journal on Selected Areas in Communications
Linear-codes-based lossless joint source-channel coding for multiple-access channels
IEEE Transactions on Information Theory
On the performance of single LDGM codes for iterative data fusion over the multiple access channel
MACOM'10 Proceedings of the Third international conference on Multiple access communications
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We consider the transmission of information from two correlated senders to a common receiver through a Rayleigh fast fading multiple access channel. Each one of the senders is encoded independently using a turbo-like code and neither the correlation model nor the channel state information is assumed to be known at the encoder. Decoding is performed in an iterative way, exploiting the correlation between the senders. The noise variance and correlation model do not need to be known at the decoder site, since they can be estimated jointly with the decoding process. When perfect channel state information is available at the decoder site, the resulting performance is very close to (and in some cases outperforms) the theoretical limits obtained when separation between source and channel coding is assumed. The performance loss when the channel state information is not available at the decoder depends on the correlation strength, becoming smaller for highly correlated senders.