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    On Multiple Users Scheduling Using Superposition Coding over Rayleigh Fading Channels

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    Type
    Article
    Authors
    Zafar, Ammar cc
    Alnuweiri, Hussein
    Shaqfeh, Mohammad
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2013-02-19
    Online Publication Date
    2013-02-19
    Print Publication Date
    2013-04
    Permanent link to this record
    http://hdl.handle.net/10754/269853
    
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    Abstract
    In this letter, numerical results are provided to analyze the gains of multiple users scheduling via superposition coding with successive interference cancellation in comparison with the conventional single user scheduling in Rayleigh blockfading broadcast channels. The information-theoretic optimal power, rate and decoding order allocation for the superposition coding scheme are considered and the corresponding histogram for the optimal number of scheduled users is evaluated. Results show that at optimality there is a high probability that only two or three users are scheduled per channel transmission block. Numerical results for the gains of multiple users scheduling in terms of the long term throughput under hard and proportional fairness as well as for fixed merit weights for the users are also provided. These results show that the performance gain of multiple users scheduling over single user scheduling increases when the total number of users in the network increases, and it can exceed 10% for high number of users
    Citation
    Zafar, A., Shaqfeh, M., Alouini, M.-S., & Alnuweiri, H. (2013). On Multiple Users Scheduling Using Superposition Coding over Rayleigh Fading Channels. IEEE Communications Letters, 17(4), 733–736. doi:10.1109/lcomm.2013.021213.122465
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2013.021213.122465
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCOMM.2013.021213.122465
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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