First International Workshop on Cognitive Cooperative Communications in Heterogeneous Wireless Networks

Research Article

Improved Joint Network-Channel Coding for the Multiple-Access Relay Channel

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417578,
        author={Wei Fang and Zhuo Sun and Chunjing Hu and Shibo Hou},
        title={Improved Joint Network-Channel Coding for the Multiple-Access Relay Channel},
        proceedings={First International Workshop on Cognitive Cooperative Communications in Heterogeneous Wireless Networks},
        publisher={IEEE},
        proceedings_a={C3HETNET},
        year={2013},
        month={2},
        keywords={joint network- channel coding (jncc) distributed turbo coded (dtc) convolutional turbo code (ctc) multiple-access relay channel (marc)},
        doi={10.1109/ChinaCom.2012.6417578}
    }
    
  • Wei Fang
    Zhuo Sun
    Chunjing Hu
    Shibo Hou
    Year: 2013
    Improved Joint Network-Channel Coding for the Multiple-Access Relay Channel
    C3HETNET
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417578
Wei Fang1,*, Zhuo Sun1, Chunjing Hu1, Shibo Hou1
  • 1: Beijing University of Posts & Telecommunications
*Contact email: bupt_fw@bupt.edu.cn

Abstract

This paper proposes a novel joint network- channel coding (JNCC) system based on improved distributed turbo coded (DTC) scheme for multiple-access relay channel, using decode-and-forward protocol. The diversity of improved DTC scheme is that the two parity streams of the two RSC encoders of UE are converted into one stream by puncturing. In addition, we adopt the punctured parity streams of Convolutional Turbo Code (CTC) at the relay and BS, which takes advantage of the feature of two inputs for the decoded information bits from two mobile stations. Here, CTC acts as a network coding as well as channel coding between relay and BS. The performance of this communication system depends on the twice decoding at the BS according to the side information and CTC punctured parity information. The simulation results show that performance of proposed scheme overperforms the reference network–coding scheme which separates channel decoding from network coding, and has 0.8dB improvement at a bit error rate (BER) of 10-3 in AWGN channel than the reference scheme.