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Iterative Detection and Decoding for Spatially Coupled Multiuser Data Transmission

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Communications and Networking (ChinaCom 2016)

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Abstract

Non-orthogonal multiple access (NOMA) is a candidate multiple access scheme for 5G wireless communication. In this paper we consider applying the principle of spatially coupling in a NOMA system, where coupled data streams from different users transmit via the additive white Gaussian noise (AWGN) multiple access channel. A data stream is constructed by replicating each encoded bit for several times and then permuting the replicated bits. We propose an message-passing algorithm (MPA) based iterative multiuser detection combining with channel decoding, which is illustrated and analysed by the factor graph representation and the extrinsic information transfer (EXIT) chart, respectively. Numerical results show that lower node degree of the spatially coupled structure, higher number of iterations of the detector, and an appropriate encoding/decoding scheme jointly contribute to a better performance of the multiuser transmission system.

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Authors and Affiliations

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Xiaodan Wang, Sijie Wang, Zhongwei Si, Zhiqiang He, Kai Niu & Chao Dong

Authors
  1. Xiaodan Wang
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  2. Sijie Wang
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  3. Zhongwei Si
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  4. Zhiqiang He
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  5. Kai Niu
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  6. Chao Dong
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Corresponding author

Correspondence to Xiaodan Wang .

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Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, X., Wang, S., Si, Z., He, Z., Niu, K., Dong, C. (2018). Iterative Detection and Decoding for Spatially Coupled Multiuser Data Transmission. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-66625-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66624-2

  • Online ISBN: 978-3-319-66625-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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