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    The Performance of a CDF-Based Multiuser Scheduling Scheme for Non-Orthogonal Multiple Access (NOMA)

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    Type
    Conference Paper
    Authors
    Lim, Byungju
    Nam, Sung Sik
    Alouini, Mohamed-Slim cc
    Ko, Young Chai
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-07-16
    Online Publication Date
    2019-07-16
    Print Publication Date
    2019-05
    Permanent link to this record
    http://hdl.handle.net/10754/656839
    
    Metadata
    Show full item record
    Abstract
    In this paper, we deal with the performance analysis of a cumulative distribution function (CDF)-based multiuser scheduling scheme for downlink non-orthogonal multiple access (NOMA). With this scheme, the multiple users having relatively better channel gain are selected. We first statistically analyze the probability of user selection in terms of the weight of each user determining the time fraction. We confirm that equal weight ensures fair resource allocation. Under this equal weight condition for fairness, we derive the distribution of signal-to-interference-plus-noise ratio (SINR) when the specific user is selected. Simulation results show that with this scheme, the time resources can be allocated more fairly compared to the proportional fair scheduling scheme, especially under NOMA conditions. Further, by adjusting the weight of desired user, the average rate and selection probability can be controlled.
    Citation
    Lim, B., Nam, S. S., Alouini, M.-S., & Ko, Y.-C. (2019). The Performance of a CDF-Based Multiuser Scheduling Scheme for Non-Orthogonal Multiple Access (NOMA). ICC 2019 - 2019 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2019.8761944
    Sponsors
    This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT)(NRF-2018R1A2B2007789)
    Publisher
    IEEE
    Conference/Event name
    2019 IEEE International Conference on Communications, ICC 2019
    DOI
    10.1109/ICC.2019.8761944
    Additional Links
    https://ieeexplore.ieee.org/document/8761944/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2019.8761944
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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