Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

BER Performance Evaluation of Downlink MUSA over Rayleigh Fading Channel

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_9,
        author={Yao Xu and Gang Wang and Liming Zheng and Rongkuan Liu and Donglai Zhao},
        title={BER Performance Evaluation of Downlink MUSA over Rayleigh Fading Channel},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={MUSA NOMA SIC BER performance 5G communication Rayleigh fading channel},
        doi={10.1007/978-3-319-73564-1_9}
    }
    
  • Yao Xu
    Gang Wang
    Liming Zheng
    Rongkuan Liu
    Donglai Zhao
    Year: 2018
    BER Performance Evaluation of Downlink MUSA over Rayleigh Fading Channel
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_9
Yao Xu1,*, Gang Wang1,*, Liming Zheng1,*, Rongkuan Liu1,*, Donglai Zhao1,*
  • 1: Harbin Institute of Technology
*Contact email: xuyao_hit@sina.com, gwang51@hit.edu.cn, zheng@hit.edu.cn, liurongkuan@hit.edu.cn, zdl527@126.com

Abstract

Downlink multi-user shared access (MUSA) is a non-orthogonal multiple access scheme (NOMA) based on the traditional power domain superposition and uses a mirror constellation to optimize the modulated symbol mapping of the paired users. In this paper, bit error ratio (BER) performance of MUSA with successive interference cancellation (SIC) is investigated in a cellular downlink scenario over Rayleigh fading channel. Firstly, we elaborate downlink MUSA system based on NOMA and spreading sequences in detail. Then, we compare the BER performance of MUSA with pure NOMA under different power allocation schemes. On this basis, we further study the system average BER performance in downlink MUSA and NOMA with respect to the power difference of the users, respectively. In addition, BER performance of MUSA with different spreading sequences is evaluated. Finally, the simulation results show that MUSA with appropriate spreading sequences is able to obtain better BER performance than NOMA under the same simulation conditions, and a reasonable power allocation is the key to improve BER performance of MUSA and NOMA.