A Robust Communication System Based on Joint-Source Channel Coding for a Uniform Source

A communication system based on the joint source-channel coding principle is proposed where a fixed-rate source encoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effect and thus gain in system robustness. An explicit expression of the mean square err...

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Bibliographic Details
Main Authors: Nguyen, H. T., Ramstad, T. A., Balasingham, I.
Format: Conference Proceeding
Language:English
Subjects:
Channel coding
Communication systems
Decoding
Entropy
Joints
Nonlinear distortion
Quantization
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Summary:A communication system based on the joint source-channel coding principle is proposed where a fixed-rate source encoder using neither a codebook nor an entropy encoder is exploited to avoid the error propagation effect and thus gain in system robustness. An explicit expression of the mean square error (MSE) distortion of the system for a uniform source is derived. Based on the MSE distortion, the optimal design of the communication system under the total transmission rate constraint is formulated as a mixed integer nonlinear optimization problem. We provide an algorithm to achieve the optimal solution via a convex optimization solver. The numerical result shows that the overall performance of the proposed system is close to the performance of the entropy coding scalar quantizer (ECSQ) system established by A. Gyorgy and T. Linder [1] for almost all rate regions.
ISSN:1090-3038
2577-2465
DOI:10.1109/VTCFall.2012.6399109