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适用于 B5G 移动系统的自适应速率兼容非二进制 LDPC 编码方案。

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

机构信息

College of Information & Communication Engineering, Harbin Engineering University, Harbin, 150001, China.

出版信息

Sensors (Basel). 2019 Mar 2;19(5):1067. doi: 10.3390/s19051067.

Abstract

This paper studies an adaptive coding scheme for B5G (beyond 5th generation) mobile system-enhanced transmission technology. Different from the existing works, the authors develop a class of rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes, which expresses the strong connection between the algebra-based and graph-theoretic-based constructions. The constructed codes can not only express rate-compatible (RC) features, but also possess a quasi-cyclic (QC) structure that facilitates the encoding implementation. Further, in order to achieve the code rate-adaptive allocation scheme, the authors propose using the K-means++ clustering algorithm to cluster different channel environments, considering various factors that affect channel characteristics. Finally, in order to present the advantages of the adaptive coding scheme, the authors construct a coding scheme for image transmission. The numerical results demonstrate that the developed code can obtain better waterfall performance in a larger code rate range, which is more suitable for data transmission; the adaptive coding transmission scheme can obtain higher reconstructed image quality compared to the fixed code rate-coding scheme. Moreover, when considering unequal error protection (UEP), the proposed scheme can further improve the reconstructed image quality.

摘要

本文研究了一种用于 B5G(第五代之后)移动系统增强传输技术的自适应编码方案。与现有工作不同,作者提出了一类速率兼容的非二进制低密度奇偶校验(RC-NB-LDPC)码,该码表达了基于代数和基于图的构造之间的强连接。所构造的码不仅可以表示速率兼容(RC)的特点,而且具有准循环(QC)结构,便于编码实现。此外,为了实现码率自适应分配方案,作者提出使用 K-means++聚类算法对不同的信道环境进行聚类,考虑了影响信道特性的各种因素。最后,为了展示自适应编码方案的优势,作者构建了一种图像传输的编码方案。数值结果表明,所提出的码在更大的码率范围内可以获得更好的误码平底性能,更适合数据传输;自适应编码传输方案可以获得比固定码率编码方案更高的重建图像质量。此外,在考虑不等错误保护(UEP)时,所提出的方案可以进一步提高重建图像质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a8/6427623/c08c4444e600/sensors-19-01067-g001.jpg

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