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    Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks

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    08758326.pdf
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    Type
    Article
    Authors
    Celik, Abdulkadir cc
    Tsai, Ming-Cheng
    Radaydeh, Redha M.
    Al-Qahtani, Fawaz S.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Date
    2019-07-09
    Online Publication Date
    2019-07-09
    Print Publication Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/656151
    
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    Abstract
    In this paper, we propose a distributed cluster formation (CF) and resource allocation (RA) framework for non-ideal non-orthogonal multiple access (NOMA) schemes in heterogeneous networks. The imperfection of the underlying NOMA scheme is due to the receiver sensitivity and interference residue from non-ideal successive interference cancellation (SIC), which is generally characterized by a fractional error factor (FEF). Our analytical findings first show that several factors have a significant impact on the achievable NOMA gain. Then, we investigate fundamental limits on NOMA cluster size as a function of FEF levels, cluster bandwidth, and quality of service (QoS) demands of user equipments (UEs). Thereafter, a clustering algorithm is developed by taking feasible cluster size and channel gain disparity of UEs into account. Finally, we develop a distributed α-fair RA framework where α governs the trade-off between maximum throughput and proportional fairness objectives. Based on the derived closed-form optimal power levels, the proposed distributed solution iteratively updates bandwidths, clusters, and UEs’ transmission powers. Numerical results demonstrate that proposed solutions deliver a higher spectral and energy efficiency than traditionally adopted basic NOMA cluster size of two. We also show that an imperfect NOMA cannot always provide better performance than orthogonal multiple access under certain conditions. Finally, our numerical investigations reveal that NOMA gain is maximized under downlink/uplink decoupled (DUDe) UE association.
    Citation
    Celik, A., Tsai, M.-C., Radaydeh, R. M., Al-Qahtani, F. S., & Alouini, M.-S. (2019). Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks. IEEE Transactions on Communications, 67(10), 7211–7227. doi:10.1109/tcomm.2019.2927561
    Sponsors
    This work was supported by NPRP from the Qatar National Research Fund under grant no. 8-1545-2-657. A part of this paper has been presented at IEEE GLOBECOM 2018, Singapore [1].
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2019.2927561
    Additional Links
    https://ieeexplore.ieee.org/document/8758326/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8758326
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2019.2927561
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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