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Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
Yijie Lv1, Shaohua Hong1, Lin Wang1
1Department of Information and Communication Engineering, Xiamen University, Xiamen 361005, China.
Entropy (Basel, Switzerland)
|August 26, 2023
Summary
This study introduces an efficient method for optimizing linking matrices in joint source-channel coding (JSCC) systems. The new approach enhances system performance and reduces computational complexity.
Area of Science:
- Information Theory
- Coding Theory
- Digital Communications
Background:
- Joint Source-Channel Coding (JSCC) systems require efficient optimization of linking matrices for improved performance.
- Existing methods for optimizing linking matrices in JSCC systems have limitations.
Purpose of the Study:
- To propose an efficient scheme for designing and optimizing linking matrices in JSCC systems.
- To improve the performance of JSCC systems by optimizing the linking matrix.
Main Methods:
- Utilized the joint protograph extrinsic information transfer (JPEIT) algorithm to analyze JSCC system performance and calculate decoding thresholds.
- Developed a scheme incorporating structural constraints for designing and optimizing multi-edge linking matrices.
Main Results:
- The proposed scheme effectively designs and optimizes multi-edge linking matrices for JSCC systems.
- Experimental results show significant performance improvements in JSCC systems with the optimized linking matrix.
- The scheme reduces the complexity of the solution space for optimization.
Conclusions:
- The developed scheme offers an efficient approach to optimize linking matrices in JSCC systems.
- This optimization leads to enhanced system performance and reduced computational complexity.
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