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Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

Research Article

Analysis and Design of Wireless Distributed Fountain Codes with Multiplicative Network Coding

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  • @INPROCEEDINGS{10.1007/978-3-030-66785-6_29,
        author={Hanqin Shao and Hongbo Zhu and Junwei Bao},
        title={Analysis and Design of Wireless Distributed Fountain Codes with Multiplicative Network Coding},
        proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings},
        proceedings_a={MLICOM},
        year={2021},
        month={1},
        keywords={Fountain codes Multiplicative network coding AWGN channels Asymptotic analysis Degree distributions Linear programming},
        doi={10.1007/978-3-030-66785-6_29}
    }
    
  • Hanqin Shao
    Hongbo Zhu
    Junwei Bao
    Year: 2021
    Analysis and Design of Wireless Distributed Fountain Codes with Multiplicative Network Coding
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-66785-6_29
Hanqin Shao1,*, Hongbo Zhu1, Junwei Bao2
  • 1: Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications
  • 2: College of Science, Nanjing University of Aeronautics and Astronautics
*Contact email: shaohanqin@njupt.edu.cn

Abstract

A novel wireless distributed fountain coding scheme is proposed for wireless distributed networks. In this scheme, a multiplicative network coding method is adopted instead of exclusive-or (XOR) network coding. Thus, the processing complexity of the relay can be reduced, and the error propagation can be avoided. Moreover, the degree distributions of the proposed coding scheme are derived and the performance is analyzed asymptotically using semi-Gaussian approximation analysis technique. Furthermore, an efficient optimization method employing linear program is presented to optimize the degree distributions of the proposed scheme. Simulation results reveal that with optimized degree distributions, the proposed scheme has good performance on additive white Gaussian noise (AWGN) channels and outperforms the scheme using alternate forwarding.

Keywords
Fountain codes Multiplicative network coding AWGN channels Asymptotic analysis Degree distributions Linear programming
Published
2021-01-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-66785-6_29
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