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Adaptive Rate-Compatible Non-Binary LDPC Coding Scheme for the B5G Mobile System.

Dan-Feng Zhao¹, Hai Tian², Rui Xue³

¹College of Information & Communication Engineering, Harbin Engineering University, Harbin, 150001, China. zhaodanfeng@hrbeu.edu.cn.

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Summary

This summary is machine-generated.

This study introduces adaptive coding for B5G mobile systems using novel rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes. The adaptive scheme improves image transmission quality and data transmission efficiency across varying channel conditions.

Keywords:

B5G adaptive coding scheme channel clustering k-means++ algorithm rate-compatible LDPC

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Area of Science:

Mobile Communications
Coding Theory
Signal Processing

Background:

Existing transmission technologies in Beyond 5th Generation (B5G) mobile systems require enhanced coding schemes for improved efficiency.
Low-density parity check (LDPC) codes are widely used, but advancements in rate compatibility and non-binary structures are needed.
Adaptive coding schemes are crucial for optimizing performance across diverse and changing channel environments.

Purpose of the Study:

To develop a novel adaptive coding scheme for B5G enhanced transmission.
To introduce rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes with a quasi-cyclic (QC) structure.
To enhance data transmission quality and efficiency in mobile systems.

Main Methods:

Developed a class of rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes.
Integrated algebra-based and graph-theoretic-based construction principles.
Employed the K-means++ clustering algorithm for adaptive channel environment classification.
Designed an image transmission scheme to evaluate the adaptive coding strategy.

Main Results:

The developed RC-NB-LDPC codes exhibit superior waterfall performance over a wider code rate range, enhancing data transmission suitability.
The adaptive coding scheme significantly improves reconstructed image quality compared to fixed code rate schemes.
Unequal error protection (UEP) further boosts reconstructed image quality within the proposed adaptive framework.

Conclusions:

The proposed RC-NB-LDPC codes offer a robust foundation for adaptive coding in B5G systems.
The adaptive coding scheme effectively optimizes transmission for varying channel conditions, particularly for image data.
The integration of RC-NB-LDPC codes and adaptive allocation presents a promising advancement for future mobile communication systems.