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    Generalized Quadrature Spatial Modulation and Its Application to Vehicular Networks With NOMA

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    Name:
    GQSM_NOMA_Relay_tits_final.pdf
    Size:
    7.676Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Li, Jun cc
    Dang, Shuping cc
    Yan, Yier
    Peng, Yuyang cc
    Al-Rubaye, Saba cc
    Tsourdos, Antonios cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-07-16
    Online Publication Date
    2020-07-16
    Print Publication Date
    2021-07
    Submitted Date
    2020-02-27
    Permanent link to this record
    http://hdl.handle.net/10754/664285
    
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    Abstract
    Quadrature spatial modulation (QSM) is recently proposed to increase the spectral efficiency (SE) of SM, which extends the transmitted symbols into in-phase and quadrature domains. In this paper, we propose a generalized QSM (GQSM) scheme to further increase the SE of QSM by activating more than one transmit antenna in in-phase or quadrature domain. A low-complexity detection scheme for GQSM is provided to mitigate the detection burden of the optimal maximum-likelihood (ML) detection method. An upper bounded bit error rate is analyzed to discover the system performance of GQSM. Moreover, by collaborating with the non-orthogonal multiple access (NOMA) technique, we investigate the practical application of GQSM to cooperative vehicular networks and propose the cooperative GQSM with OMA (C-OMA-GQSM) and cooperative GQSM with NOMA (C-NOMA-GQSM) schemes. Computer simulation results verify the reliability of the proposed low-complexity detection as well as the theoretical analysis, and show that GQSM outperforms QSM in the entire SNR region. The superior BER performance of the proposed C-NOMA-GQSM scheme make it a promising modulation candidate for next generation vehicular networks.
    Citation
    Li, J., Dang, S., Yan, Y., Peng, Y., Al-Rubaye, S., & Tsourdos, A. (2020). Generalized Quadrature Spatial Modulation and Its Application to Vehicular Networks With NOMA. IEEE Transactions on Intelligent Transportation Systems, 1–10. doi:10.1109/tits.2020.3006482
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Intelligent Transportation Systems
    DOI
    10.1109/TITS.2020.3006482
    Additional Links
    https://ieeexplore.ieee.org/document/9142447/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9142447
    ae974a485f413a2113503eed53cd6c53
    10.1109/TITS.2020.3006482
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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