Optimizing Joint Source-Channel Coding for Correlated Sources Transmission over Noisy Channels
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Keywords

AWGN channel
belief propagation
joint source channel coding
LDPC codes.

How to Cite

[1]
F. E. Mehdi, O. Khaled, and L. Benkirane, “Optimizing Joint Source-Channel Coding for Correlated Sources Transmission over Noisy Channels”, J. Comput. Eng., vol. 9, no. 3, Mar. 2020, Accessed: Apr. 13, 2026. [Online]. Available: https://journalofcomputerengineering.com/index.php/jce/article/view/1195

Abstract

—In this paper, a Joint Source Channel coding scheme based on LDPC codes is investigated. We consider two concatenated LDPC codes, one allows to compress a correlated source and the second to protect it against channel degradations. The original information can be reconstructed at the receiver by a joint decoder, where the source decoder and the channel decoder run in parallel by transferring extrinsic information. We investigate the performance of the JSC LDPC code in terms of Bit-Error Rate (BER) in the case of transmission over an Additive White Gaussian Noise (AWGN) channel, and for different source and channel rate parameters. We emphasize how JSC LDPC presents a performance tradeoff depending on the channel state and on the source correlation. We show that, the JSC LDPC is an efficient solution for a relatively low Signal-to-Noise Ratio (SNR) channel, especially with highly correlated sources. Finally, a source-channel rate optimization has to be applied to guarantee the best JSC LDPC system performance for a given channel
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Copyright (c) 2020 Fatima El Mehdi, Omar Khaled, Leila Benkirane (Author)