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    OFDM-IM-Based Spectrum Sharing for Cognitive Radio Networks

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    Type
    Conference Paper
    Authors
    Li, Qiang
    Wen, Miaowen
    Dang, Shuping
    Basar, Ertugrul
    Poor, H. Vincent
    Chen, Fangjiong
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-01-03
    Permanent link to this record
    http://hdl.handle.net/10754/661874
    
    Metadata
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    Abstract
    In this paper, a novel spectrum sharing scheme, based on orthogonal frequency division multiplexing with index modulation (OFDM-IM), is proposed for cognitive radio networks. In the considered model, the primary transmitter communicates with the primary receiver with the aid of an amplify-and-forward (AF) relay by transmitting OFDM-IM signals. Meanwhile, the secondary transmitter passively senses the spectrum and transmits its own information over those inactive subcarriers of the primary network to the secondary receiver. Through the proposed protocol, inactive subcarriers inherent in the existing OFDM-IM systems can be fully exploited, thus improving the spectral efficiency. To evaluate the performance, closed-form upper bounds on the bit error rate (BER) are derived for both users utilizing the optimal maximum-likelihood detection. Simulation results corroborate the analysis and show that the proposed scheme has the potential of outperforming OFDM-IM-AF in terms of BER with higher spectral efficiency.
    Citation
    Li, Q., Wen, M., Dang, S., Basar, E., Poor, H. V., & Chen, F. (2019). OFDM-IM-Based Spectrum Sharing for Cognitive Radio Networks. 2019 IEEE 19th International Conference on Communication Technology (ICCT). doi:10.1109/icct46805.2019.8947179
    Sponsors
    This work was supported in part by the National Natural Science Foundation of China under Grant 61871190, Grant 61671211, and Grant U1701265, in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005, Grant 2016A030311024, and Grant 2016A030308006, in part by the Pearl River Nova Program of Guangzhou under Grant 201806010171, in part by the U.S. National Science Foundation under Grants CCF-0939370 and CCF-1513915, and in part by the China Scholarship Council under Grant 201806150074.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    19th IEEE International Conference on Communication Technology, ICCT 2019
    DOI
    10.1109/ICCT46805.2019.8947179
    Additional Links
    https://ieeexplore.ieee.org/document/8947179/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCT46805.2019.8947179
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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