Reduced-Complexity Decoding of 3D Product Codes for Satellite Communications

Author:

Xu Yue1,Jiang Ming12ORCID,Zhu Mingyang1,Hu Nan3,Zhao Chunming12,Wang Jiangzhou4

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.

2. Purple Mountain Laboratories, Nanjing 210096, China.

3. Institute of Wireless and Terminal Technology, China Mobile Research Institute, Beijing 100032, China.

4. School of Engineering, University of Kent, Canterbury CT2 7NT, UK.

Abstract

This paper aims to provide a reduced-complexity decoding for satellite communication systems to enhance system performance and transmission efficiency. By addressing the complexity, error rate, and latency issues for satellite communications, a novel 3-dimensional product decoding scheme is proposed. The density evolution algorithm is also introduced to analyze and optimize for the binary message passing decoding, which further reduces the computational complexity and latency. The simulation results show that the proposed method can obtain about 0.3- and 0.15-dB performance gains compared to the similar decodings of the conventional 2-dimensional BCH product codes and staircase codes, respectively. Our proposed coding scheme offers a broad prospect to the critical issues of transmission latency and data throughput in satellite networks.

Funder

National Natural Science Foundation of China

Southeast University China Mobile Research Institute Joint Innovation Center

Jiangsu Province Basic Research Project

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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