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    On the Throughput of Large-but-Finite MIMO Networks using Schedulers

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    Type
    Article
    Authors
    Makki, Behrooz
    Svensson, Tommy
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2018-11-06
    Online Publication Date
    2018-11-06
    Print Publication Date
    2019-01
    Permanent link to this record
    http://hdl.handle.net/10754/629942
    
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    Abstract
    This paper studies the sum throughput of the multiuser multiple-input-single-output (MISO) networks in the cases with large but finite number of transmit antennas and users. Considering continuous and bursty communication scenarios with different users’ data request probabilities, we derive quasi-closedform expressions for the maximum achievable throughput of the networks using optimal schedulers. The results are obtained in various cases with different levels of interference cancellation. Also, we develop an efficient scheduling scheme using genetic algorithms (GAs), and evaluate the effect of different parameters, such as channel/precoding models, number of antennas/users, scheduling costs and power amplifiers’ efficiency, on the system performance. Finally, we use the recent results on the achievable rates of finite block-length codes to analyze the system performance in the cases with short packets. As demonstrated, the proposed GA-based scheduler reaches (almost) the same throughput as in the exhaustive search-based optimal scheduler, with substantially less implementation complexity. Moreover, the power amplifiers’ inefficiency and the scheduling delay affect the performance of the scheduling-based systems significantly.
    Citation
    Makki B, Svensson T, Alouini M-S (2018) On the Throughput of Large-but-Finite MIMO Networks using Schedulers. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2018.2878252.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2018.2878252
    arXiv
    1811.05155
    Additional Links
    https://ieeexplore.ieee.org/document/8520925
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2018.2878252
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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