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    Spectrum Resource Allocation Based on Cooperative NOMA With Index Modulation

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    Type
    Article
    Authors
    Chen, Xuan
    Wen, Miaowen
    Mao, Tianqi
    Dang, Shuping
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-04-30
    Online Publication Date
    2020-04-30
    Print Publication Date
    2020-09
    Submitted Date
    2019-12-01
    Permanent link to this record
    http://hdl.handle.net/10754/662719
    
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    Abstract
    In this paper, two novel spectrum resource allocation schemes, based on orthogonal frequency division multiplexing with index modulation (OFDM-IM) and dual-mode OFDM-IM, are proposed for a three-node cooperative non-orthogonal multiple access (C-NOMA) system. In the first scheme, we allocate IM bits to serve the cell-edge user, and save the transmit power to assist the delivery of constellation symbols. Alternatively, constrained by the spectral efficiency (SE), the rest information bits of the cell-edge user can be carried by the conventional signal constellation. In the second scheme, to further eliminate the interference between users and boost the SE, different modulation modes (Mode I and Mode II) are employed to distinguish the subcarriers of the cell-center and cell-edge users, and to encode the incoming bit stream from these users, respectively. Furthermore, we consider two different detectors for the cell-edge user, i.e., the optimal/suboptimal maximum-likelihood detectors. Asymptotically tight bounds on the bit error rate of the above-mentioned users are derived in closed-form. Finally, simulation results verify the theoretical analysis and show that the proposed schemes have the potential to outperform C-NOMA.
    Citation
    Chen, X., Wen, M., Mao, T., & Dang, S. (2020). Spectrum Resource Allocation Based on Cooperative NOMA With Index Modulation. IEEE Transactions on Cognitive Communications and Networking, 1–1. doi:10.1109/tccn.2020.2991426
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Cognitive Communications and Networking
    DOI
    10.1109/TCCN.2020.2991426
    Additional Links
    https://ieeexplore.ieee.org/document/9082642/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9082642
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCCN.2020.2991426
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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