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Uplink Transmission Scheme Based on Rateless Coding in Cloud-RAN

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Machine Learning and Intelligent Communications (MLICOM 2018)

Abstract

We consider a Cloud Radio Access Network (C-RAN) uplink system composed of single user, multiple remote radio heads (RRH) and baseband unit (BBU) pool. The user encodes the messages with rateless code which are then modulated and sent. Each RRH which covers the user quantizes the received signals and transfers them to the BBU pool through the high rate fronthaul link. The BBU pool applies belief propagation (BP) algorithm for joint decompression and decoding for the user information. In order to further improve the performance of the system, we resort to the extrinsic mutual information transfer (EXIT) analysis to optimize the degree profile of the rateless code. The numerical simulation shows that the BER performance of the proposed rateless coded scheme is close to the theoretical upper bound.

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Acknowledgement

This work was supported by Zhejiang Provincial Natural Science Foundation of China under Grant No. LY17F010014.

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Authors and Affiliations

  1. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

    Lingjie Xie, Yu Zhang, Yefan Zhang, Jingyu Hua & Limin Meng

Authors
  1. Lingjie Xie
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  2. Yu Zhang
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  3. Yefan Zhang
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  4. Jingyu Hua
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  5. Limin Meng
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Corresponding author

Correspondence to Yu Zhang .

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Editors and Affiliations

  1. Zhejiang University of Technology, Hangzhou Shi, China

    Limin Meng

  2. Department of Networks, Simula Research Laboratory, Oslo, Norway

    Yan Zhang

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

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Xie, L., Zhang, Y., Zhang, Y., Hua, J., Meng, L. (2018). Uplink Transmission Scheme Based on Rateless Coding in Cloud-RAN. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_42

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  • DOI: https://doi.org/10.1007/978-3-030-00557-3_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00556-6

  • Online ISBN: 978-3-030-00557-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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