Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings

Research Article

DSWIPT Scheme for Cooperative Transmission in Downlink NOMA System

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  • @INPROCEEDINGS{10.1007/978-3-030-32216-8_55,
        author={Kai Yang and Xiao Yan and Qian Wang and Kaiyu Qin and Dingde Jiang},
        title={DSWIPT Scheme for Cooperative Transmission in Downlink NOMA System},
        proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings},
        proceedings_a={SIMUTOOLS},
        year={2019},
        month={10},
        keywords={Non-orthogonal multiple access (NOMA) Dynamic simultaneous wireless information and power transfer (DSWIPT) Time allocation ratio Power splitting ratio Outage performance},
        doi={10.1007/978-3-030-32216-8_55}
    }
    
  • Kai Yang
    Xiao Yan
    Qian Wang
    Kaiyu Qin
    Dingde Jiang
    Year: 2019
    DSWIPT Scheme for Cooperative Transmission in Downlink NOMA System
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-32216-8_55
Kai Yang1, Xiao Yan1,*, Qian Wang1, Kaiyu Qin1, Dingde Jiang1
  • 1: University of Electronic Science and Technology of China
*Contact email: yanxiao@uestc.edu.cn

Abstract

In this paper, we focus on the issue how to reduce the throughput performance gap between the cell-center user and the cell-edge user in a downlink two-user non-orthogonal multiple access (NOMA) system. To this end, we apply the Simultaneous Wireless Information and Power Transfer (SWIPT) protocol to the NOMA scheme and propose a dynamic SWIPT (DSWIPT) cooperative NOMA scheme, in which both the time allocation (TA) ratio and power splitting (PS) ratio can be adjusted dynamically to improve the performance of the cell-edge user in the system. Specifically, we derive two analytical expressions for the outage probability (OP) of the cell-center user and the cell-edge user to study the DSWIPT NOMA scheme’s influence on the system. And we also propose an optimization algorithm to find the optimal TA ratio and PS ratio for maximizing the sum-throughput of the system. The numerical results show that the analytical results are in accordance with the Monte-Carlo simulation results exactly and the DSWIPT NOMA scheme has a better performance in both the sum-throughput of the system and the OP of the cell-edge user comparing with the non-cooperative NOMA scheme and the SWIPT NOMA scheme.