Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

Rateless Coded Downlink Transmission in Cloud Radio Access Network

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  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_43,
        author={Hong Peng and Yefan Zhang and Yu Zhang and Lingjie Xie and Limin Meng},
        title={Rateless Coded Downlink Transmission in Cloud Radio Access Network},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Cloud radio access networks Rateless code Degree profile optimization},
        doi={10.1007/978-3-030-00557-3_43}
    }
    
  • Hong Peng
    Yefan Zhang
    Yu Zhang
    Lingjie Xie
    Limin Meng
    Year: 2018
    Rateless Coded Downlink Transmission in Cloud Radio Access Network
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_43
Hong Peng1,*, Yefan Zhang1,*, Yu Zhang1,*, Lingjie Xie1,*, Limin Meng1,*
  • 1: Zhejiang University of Technology
*Contact email: ph@zjut.edu.cn, 373679192@qq.com, yzhang@zjut.edu.cn, xielingjie@hotmail.com, mlm@zjut.edu.cn

Abstract

In this paper, we consider the downlink in cloud radio access networks (C-RAN). In the network, multiple users are served by a cluster of remote radio heads (RRHs), which are connected to the building baseband units (BBU) pool through the fronthaul links with limited capacity. We propose a rateless coded transmission scheme which the rateless coding, precoding, signal compression are jointly designed for the C-RAN downlink. In order to approach the theoretical limit, we further optimize the degree profiles of rateless code based on extrinsic information transfer (EXIT) function analysis.