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    On the Performance of Cooperative OFDM-NOMA System with Index Modulation

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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Chen, Xuan
    Wen, Miaowen
    Dang, Shuping
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-04-24
    Online Publication Date
    2020-04-24
    Print Publication Date
    2020-09
    Submitted Date
    2020-02-24
    Permanent link to this record
    http://hdl.handle.net/10754/662720
    
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    Abstract
    In this letter, we propose a novel three-node cooperative non-orthogonal multiple access (C-NOMA) system based on orthogonal frequency division multiplexing with index modulation (OFDM-IM), which is termed CIM-OFDM-NOMA. In the proposed scheme, the messages for two users are conveyed by two different information-bearing units of OFDM-IM, i.e., M-ary signal constellations and the indices of the activated subcarriers, respectively. Furthermore, we consider two different detectors for the cell-edge user, i.e., the maximum likelihood (ML) detector and the low-complexity greedy detector. Based on the ML detector, asymptotically tight bounds on the bit error rate of two users are derived in closed-form. Finally, simulation results verify the theoretical analysis and show that the proposed scheme outperforms the conventional C-NOMA and non-cooperative NOMA with OFDM-IM (IM-NOMA) significantly.
    Citation
    Chen, X., Wen, M., & Dang, S. (2020). On the Performance of Cooperative OFDM-NOMA System with Index Modulation. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2020.2990159
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications Letters
    DOI
    10.1109/LWC.2020.2990159
    Additional Links
    https://ieeexplore.ieee.org/document/9078069/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9078069
    ae974a485f413a2113503eed53cd6c53
    10.1109/LWC.2020.2990159
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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